ORCID Profile
0000-0002-6204-1196
Current Organisations
University of Adelaide
,
SDU
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Elsevier BV
Date: 09-2016
Publisher: Wiley
Date: 28-12-2020
DOI: 10.1002/BSE.2717
Abstract: The circular economy (CE) is a more holistic approach that advocates towards extracting the value from the waste and reaching sustainability goals. The objective of the present study is to highlight the prospects, impediments, and prerequisites while transiting from the linear economy (LE) to CE of SMEs. The study gathers information on prospects, impediments, and prerequisites for the transition of LE to a CE from recent studies . A semi‐structured interview questionnaire was prepared, and a survey was conducted on representatives of six SMEs . Further, six caselets were developed to understand the prospects, impediments, and prerequisites based on the findings of the interview and previous information gained from existing literature . The major prospects favoring transition from LE to CE found in the study are significance of 3R (reduce and reuse and recycling) approach, CE leads to competitive advantage, recycling attracts consumers in few cases, CE helps in achieving sustainability goals and reuse of materials are significant in resource conservation. There are certain impediments found such as issues associated with awareness, recyclability issues, financial challenges, and weak management vision of SMEs towards CE implementation. Other resource‐based impediments were found related to trained employees, lack of experience. Whereas, consumer acceptability is also a major concern towards implementing CE. The findings of the study suggest major prerequisites towards CE implementations such as strong “management will,” innovation, technology up‐gradation, training to employees, motivation, and appropriate guidelines. Government pressure to implement CE cannot be an effective step towards the transition of LE to CE.
Publisher: Springer Science and Business Media LLC
Date: 12-02-2022
Publisher: Wiley
Date: 22-12-2021
DOI: 10.1111/NRM.12337
Abstract: Due to the nature of the agricultural and food industry, the management of production, storage, transportation, waste disposal and environmental effects of their production, are of great importance. To deal with the sustainability issues linked to their supply chains, we propose in this study a mathematical model to design a sustainable supply chain of highly perishable agricultural product (strawberry). The model is a multiperiod, multiproduct multiobjective MINLP mathematical program that takes into consideration economic, social and environmental objectives to cover all aspects of sustainability. In addition, a G/M/S/M queuing system is developed for the transportation of harvested products between facilities for the first time. Since real‐world problems related to industries such as food and agriculture are inherently uncertain, in this model, the important parameters of the problem are considered uncertain using fuzzy sets theory and a hybrid robust possibilistic programming model is developed. In addition, the Epsilon constraint approach converts the multiobjective mathematical model into a single‐objective one and the Lagrangian relaxation method is used to effectively solve the model on a large scale. A case study in Iran is provided to investigate the results and discuss the solutions. Finally, a sensitivity analysis is performed to identify the impacts of important parameters on the solution. According to the analysis, equipping greenhouses with drip irrigation system and using solar panels in greenhouses, respectively, have the greatest impact on improving all target functions. Recommendations for Resource Managers Multiobjective optimization shows trade‐offs among conflicting objective function and assists decision‐making to enhance sustainable agriculture industry. Focus on transportation system in fresh product will lead to less waste. The use of solar panels and drip irrigation helps to minimize water and energy consumption and CO 2 emission.
Publisher: Springer Science and Business Media LLC
Date: 24-04-2013
Publisher: Springer Science and Business Media LLC
Date: 30-05-2023
DOI: 10.1007/S12351-023-00767-9
Abstract: This paper presents a bi-objective model for the design and optimization of a sustainable hierarchical multi-modal hub network. The proposed model focuses on sustainability by considering economic, environmental, and social aspects of the decisions in a hierarchical network. A case of Turkish network for freight transportation is used to validate the proposed model. To solve the small-sized problems, the augmented epsilon constraint method version 2 (AUGMECON2) is applied. It can be inferred from the Pareto-optimal set obtained by AUGMECON2 that the effect of increasing the number of hubs after a threshold is marginal. The current contribution proposes two multi-objective genetic algorithms (NSGA-II and NRGA), which incorporate LP solving and Dijkstra algorithm. The results show the superiority of NRGA compared to NSGA-II in terms of solution time. Also, we present an alternative, more efficient formulation to the problem. Based on the alternative formulation, in addition to AUGMECON2, we use two exact methods, including Torabi and Hassini (TH) method and augmented weighted Tchebycheff procedure (AWTP), to find Pareto-optimal solutions for small, medium, and large-sized problems (including the case study). The performance of the proposed solution methods is measured using some multi-objective indicators. The results show the superiority of AUGMECON2.
Publisher: Informa UK Limited
Date: 02-08-2020
Publisher: Elsevier BV
Date: 02-2015
Publisher: Elsevier BV
Date: 11-2019
Publisher: Elsevier BV
Date: 02-2015
Publisher: Elsevier BV
Date: 06-2018
Publisher: MDPI AG
Date: 04-01-2016
DOI: 10.3390/SU8010037
Publisher: Elsevier BV
Date: 02-2011
Publisher: Elsevier BV
Date: 09-2018
Publisher: Springer Science and Business Media LLC
Date: 16-11-2005
Publisher: Elsevier BV
Date: 11-2022
Publisher: Springer Science and Business Media LLC
Date: 09-11-2017
Publisher: Elsevier BV
Date: 04-2011
Publisher: Elsevier BV
Date: 2021
Publisher: Springer Science and Business Media LLC
Date: 30-05-2023
DOI: 10.1007/S10479-023-05367-6
Abstract: Organization’s sustainability performance is influenced by its suppliers’ sustainability performance. This relationship makes sustainable supplier development a strategic competitive option for a buyer or focal organization. When considering sustainable supplier development practices (SSDPs) adoption, organizations have to balance and consider their limited financial resources and operational constraints. It becomes necessary to both select the best SSDPs set and investment allocation among the selected SSDP set such that the organization can maximize overall sustainability performance level. In this paper, an integrated formal modeling methodology using DEMATEL, the NK model, and multi-objective linear programming model is used support this objective. The proposed methodology is evaluated in a practical sustainable supply chain field study of an equipment manufacturing company in China. Through case study, we found that the interdependency among SSDPs must be considered in SSDPs selection and investment allocation problem. Theoretical, managerial and methodology implications, conclusions, and directions for future research are also presented.
Publisher: Elsevier BV
Date: 06-2018
Publisher: Informa UK Limited
Date: 04-05-2016
Publisher: Elsevier BV
Date: 05-2019
Publisher: Inderscience Publishers
Date: 2012
Publisher: Wiley
Date: 08-02-2023
DOI: 10.1002/BSE.3374
Abstract: Sustainable collaboration between manufacturer and supplier has emerged as a crucial supply chain decision for increasing business efficiency. In this study, a theoretical framework is proposed that uses practice‐based view to analyze key performance indicators (KPIs) for developing sustainable collaboration. Further, the current study proposes a novel three‐phase supplier evaluation–selection model to assess the incumbent suppliers on basis of KPIs for showcasing the applicability of theoretical framework. The model uses best–worst method (BWM) in the first phase for generating weights of KPI, adopts the TODIM approach in the second phase for evaluation of suppliers, and develops a supplier classification grid in the third phase for analyzing the impact of each selection strategy to be adopted. The novelty of the study is in evaluation of suppliers based on the KPIs with consideration of desirability as well as the potentiality metric and in consideration of the selection strategies, namely, supplier retention, supplier development, and supplier switching. A case study of India's leading home appliances company is taken to demonstrate the application of the current study. The result of BWM reveals that in terms of supplier's potentiality, “quality” emerges as a strong KPI while KPI “information disclosure” gains more importance while considering supplier's desirability towards strengthening the sustainable relationship. The TODIM grid analysis result suggests that suppliers with high performance in both metrics clearly qualify as the best suppliers and must be retained, while the suppliers performing low in both areas must be switched. For suppliers with metric values in conflict with each other, a trade‐off analysis is needed. Important research and managerial implications are drawn from the validation of the proposed framework, which can be useful for researchers and practitioners.
Publisher: Elsevier BV
Date: 05-2017
Publisher: Springer International Publishing
Date: 2015
Publisher: Elsevier BV
Date: 12-2016
Publisher: Wiley
Date: 20-01-2021
DOI: 10.1002/BSE.2703
Abstract: With growing competition in the market and dire need for sustainability, it has become imperative for companies to build long‐term relationship with their supply chain partners through sustainable collaboration. Among these, the supplier–manufacturer relationship is crucial for improved organizational, business and sustainable performance. Sustainable collaboration with suppliers involves crucial decision‐making processes such as continuous supplier monitoring and supplier development. Hence, a critical challenge that a company faces is to identify the key performance indicators (KPIs) for assessing the performance of a supplier for sustainable collaboration. In this regard, this study focuses on identification of KPIs for an Indian home appliance company through exhaustive discussions involving multiple decision‐makers. Further, a grey‐based decision‐making trial and evaluation laboratory (DEMATEL) model is proposed in the study for analysing the importance levels among the fifteen KPIs based on multiple stakeholder perspectives. The results of the grey structural model indicate seven KPIs as influencing KPIs and eight KPIs as influenced KPIs. The KPI ‘Information disclosure’ has been identified as the most influential KPI for the evaluation of suppliers for sustainable collaboration. The implications drawn from the result analysis model can provide meaningful insights to managers for identifying strategies towards strengthening the supplier–manufacturer relationship and achieving organizational and market competence.
Publisher: Elsevier BV
Date: 07-2015
Publisher: Springer Science and Business Media LLC
Date: 26-08-2023
Publisher: Elsevier BV
Date: 04-2019
DOI: 10.1016/J.JENVMAN.2018.11.088
Abstract: The Indian electronics industry is facing immense pressure to include sustainability practices in order to meet customer expectations, comply with legislation and create an edge over competitors. This growing need for inclusion of sustainability is driving original equipment manufacturers (OEMs) to collaborate with third-party reverse logistics providers (3PRLPs) to sustainably manage returns. Collaboration with 3PRLP will put OEMs in a stronger position regarding compliance with government legislation, improving upon their corporate image and customer satisfaction. It is a win-win situation for the OEM. On the other hand, from the 3PRLP's point of view, it is important to know the capabilities of the OEMs before entering into a collaborative endeavour. Hence, it is firstly necessary to identify the most appropriate attributes of the manufacturer which are essential for a sustainable collaboration. In this context, the study proposes a novel framework for investigating the performance attributes of the OEMs from the economic, environmental and social aspects of sustainability. Since the evaluation of each attribute for each dimension of sustainability differs in terms of the nature of the information needed and the time and resources required, it is necessary to conduct a pre-evaluation of the attributes using the Complex Proportional Assessment (COPRAS) method. Furthermore, the shortlisted attributes for each sustainability dimension are evaluated and prioritized using the best worst method (BWM). The novelty of the attribute selection process lies in simultaneously considering the degree of importance of the attribute as well as the degree of difficulty of the collection of data required for the assessment of the OEM. The result of this study helps decision-makers and practitioners to comprehend the most influential attributes of OEMs which are crucial for collaboration, thus enhancing the overall sustainability impact of the supply chain. The managerial implications drawn from the resulting analysis provide the 3PRLP with a sustainable evaluation framework which can be ideally used for the selection of collaborative partners. The above model is validated using the case of an Indian 3PRLP company that handles electronic products.
Publisher: MDPI AG
Date: 02-01-2020
DOI: 10.3390/SYM12010090
Abstract: In the literature of information theory and fuzzy set doctrine, there exist various prominent measures of ergence each possesses its own merits, demerits, and disciplines of applications. Divergence measure is a tool to compute the discrimination between two objects. Particularly, the idea of ergence measure for fuzzy sets is significant since it has applications in several areas viz., process control, decision making, image segmentation, and pattern recognition. In this paper, some new fuzzy ergence measures, which are generalizations of probabilistic ergence measures are introduced. Next, we review two different generalizations of the following measures. Firstly, directed ergence (Kullback–Leibler or Jeffrey invariant) and secondly, Jensen difference ergence, based on these measures, we develop a class of unified ergence measures for fuzzy sets (FSs). Then, a method based on ergence measure for fuzzy sets (FSs) is proposed to evaluate the multi-criteria decision-making (MCDM) problems under the fuzzy atmosphere. Lastly, an illustrative ex le of the recycling job selection problem of sustainable planning of the e-waste is presented to demonstrate the reasonableness and usefulness of the developed method.
Publisher: Elsevier BV
Date: 12-2018
Publisher: Elsevier BV
Date: 09-2022
Publisher: Elsevier BV
Date: 2018
Publisher: Elsevier BV
Date: 08-2019
Publisher: Elsevier BV
Date: 06-2014
Publisher: Informa UK Limited
Date: 2014
Publisher: Elsevier BV
Date: 2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2016
Publisher: Springer Science and Business Media LLC
Date: 09-09-2017
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 07-2019
Publisher: Springer Science and Business Media LLC
Date: 31-08-2017
Publisher: Elsevier BV
Date: 11-2019
Publisher: Wiley
Date: 24-05-2022
DOI: 10.1002/BSE.3122
Abstract: One of novel manners to achieve sustainable development is concentrating on circular economy in order to manage greenhouse gas emissions, energy consumption, and waste. It also helps to protect the environment and optimize usage of input resources. The main element of circular economy is closed‐loop supply chain which covers both forward and reverse products flows. This study aims to outsource logistics operations in a closed‐loop supply chain. An innovative analytical multi‐step fuzzy decision‐making method is proposed to rank sustainable third‐party logistics service providers (3PLSPs). Fuzzy Decision‐Making Trial and Evaluation Laboratory (DEMATEL) is first used to evaluate the relationships among the main criteria. Then, fuzzy analytic network process (ANP) is applied to weight the determined set of criteria. In order to develop the hybrid fuzzy DEMATEL‐ANP method and to simplify the computation, the expert judgment method is used between the two techniques as a middle step to reduce the number of criteria. As many of the criteria overlap with each other on content and context, expert opinions are used to shortlist and rank the criteria. Finally, the 3PLSPs are ranked through the fuzzy complex proportional assessment (COPRAS) method. To validate the practicability and applicability of the improved decision‐making model, a household appliance case study is applied with data obtained from industry experts. In this case, five service providers are considered and ranked, while the first one gets the best score. A sensitivity analysis is performed by altering the criteria weights to validate the proposed approach, data, and the obtained results. In terms business and the environment, this study provides success critical criteria for decision‐making problems in circular economy for addressing sustainable development.
Publisher: Elsevier BV
Date: 10-2023
Publisher: Elsevier BV
Date: 08-2023
Publisher: Elsevier BV
Date: 12-2021
Publisher: Elsevier BV
Date: 2021
Publisher: Elsevier BV
Date: 12-0012
Publisher: Elsevier BV
Date: 03-2022
Publisher: IEEE
Date: 11-2011
Publisher: Informa UK Limited
Date: 09-2007
Publisher: Elsevier BV
Date: 09-2023
Publisher: Elsevier BV
Date: 09-2020
Publisher: Springer Science and Business Media LLC
Date: 06-09-2017
Publisher: Informa UK Limited
Date: 25-10-2013
Publisher: Elsevier BV
Date: 05-2020
Publisher: Elsevier BV
Date: 11-2017
Publisher: Elsevier BV
Date: 03-2016
Publisher: Informa UK Limited
Date: 21-03-2014
Publisher: Elsevier BV
Date: 05-2013
Publisher: Elsevier BV
Date: 08-2019
Publisher: Springer Science and Business Media LLC
Date: 15-02-2019
Publisher: IEEE
Date: 06-2011
Publisher: Elsevier BV
Date: 11-2022
Publisher: Informa UK Limited
Date: 2016
Publisher: Wiley
Date: 31-03-2022
DOI: 10.1002/BSE.3031
Abstract: As a concern with manufacturing industries, circular economy (CE) practices—often labeled “circular manufacturing (CM)”—are industrial tasks through which several circular economy principles have been integrated. Among these circular manufacturing strategies, “3R” (recycle, refurbish/remanufacture, and reuse/redistribute) is the key strategy that assists the manufacturing industry with closing the loop for sustainability. An effective inclusion and management of 3R lead a firm to a greater likelihood of successfully integrating CE and CM. In recent years, remanufacturing has gained greater prominence, especially with the emergence of technology, including cyber‐physical systems. These technologies assist the remanufacturing firm with efficient take‐back systems through tracking. However, data transferred through these technologies among value chain partners in remanufacturing are not reliable. Due to the lack of trust and transparency, value chain partners are hesitant to participate in remanufacturing supply chains. To address the limitation of technologies in remanufacturing, blockchain has been introduced to secure the data. Despite the advantages of blockchain technology, practitioners face difficulties in integrating these blockchain technologies into the remanufacturing context. Several earlier studies addressed the challenges of implementing blockchain, but no earlier studies have specifically examined remanufacturing industries, which are entirely different from forward supply chain industries. Concerning the fact, this study identifies the barriers that exist with the implementation of blockchain technology in the application of the remanufacturing sector. A framework has been proposed and validated in a Danish automotive parts remanufacturing company. Multi‐criteria decision‐making method has been used to identify the effective and most influential barriers among common barriers. Results reveal that “scaling of technology” ( B6 ) is the key barrier of BCT implementation in remanufacturing context. This study concludes with useful discussions based on the results along with the recommendations to eradicate those influential barriers and their respective impacts on SDGs (SDG4, SDG8, SDG9, and SDG17). Finally, this study sheds light on future enhancements on the integration of blockchain technology in remanufacturing to reap several benefits of circular manufacturing.
Publisher: Informa UK Limited
Date: 2013
Publisher: Elsevier BV
Date: 12-2015
Publisher: Elsevier BV
Date: 2020
Publisher: Springer Science and Business Media LLC
Date: 18-07-2013
Publisher: Elsevier BV
Date: 08-2013
Publisher: Elsevier BV
Date: 2016
Publisher: Inderscience Publishers
Date: 2011
Publisher: Informa UK Limited
Date: 23-04-2020
Publisher: Elsevier BV
Date: 02-2016
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 12-2022
Publisher: Elsevier BV
Date: 07-2000
Publisher: Emerald
Date: 06-06-2016
DOI: 10.1108/IJESM-04-2015-0010
Abstract: The purpose of this paper is to evaluate the essential barrier and reveal the priority among common barriers to offshore wind energy in an Indian context with the assistance of the proposed framework. Based on the proposed framework, a five-phase methodology was adapted to explore the essential barrier step by step. The common barriers, which were collected from the existing literatures through a systematic review, were further validated by field experts. The collected common barriers were evaluated with the assistance of the case industry’s field professionals through an analytical hierarchy process, a multi-criteria decision-making tool, to evaluate the barriers to Indian offshore wind energy. Among the 12 common barriers to offshore wind energy, it is clear that “high capital cost” is the most essential barrier involved in the implementation of offshore wind energy farms in the Indian context. This study reveals the importance of offshore wind power as a long-term profitable strategy to the case company within the Indian context. By addressing the essential barriers to the implementation of offshore wind farms, the Indian offshore wind system managers can train their employees to counteract the hindrances through the benchmarking of pioneering global offshore wind power developers such as Denmark and the UK. Further, this study provides useful suggestions to the Indian Government regarding policies for offshore wind energy it also clearly projects the current status of the Indian offshore wind farm implementation. This study assists Indian key stakeholders of offshore wind energy by indicating the essential barrier in an Indian context they can remove the particular barrier instead of focusing on others that previous studies have identified. Further, this study brings out the importance of offshore wind power in an Indian context, which can urge stakeholders to invest more in offshore wind farms.
Publisher: Elsevier BV
Date: 10-2017
Publisher: Elsevier BV
Date: 03-2021
Publisher: Elsevier BV
Date: 05-2013
Publisher: Elsevier BV
Date: 2023
Publisher: Elsevier BV
Date: 2022
Publisher: Emerald
Date: 15-07-2022
DOI: 10.1108/IJLM-01-2022-0016
Abstract: The purpose of this study is to systematically review the state-of-art literature on the net-zero economy in the field of supply chain management. A systematic literature review of 79 articles published from 2009 to 2021 has been conducted to minimise the researchers' bias and maximise the reliability and replicability of the study. The thematic analysis reveals that studies in the field of net-zero economy have mostly been done on decarbonisation in the supply chain, emission control and life cycle analysis and environmental and energy management. The findings highlight the strong positive association between digitalisation, circular economy and resources optimization practices with net-zero economy goals. The study also addresses the challenges linked with the net-zero economy at the firm and country levels. Practitioners in companies and academics might find this review valuable as this study reviews, classifies and analyses the studies, outlines the evolution of literature and offers directions for future studies using the theory, methodology and context (TMC) framework. This is the first study that uses a structured approach to analyse studies done in the net-zero field by assessing publications from 2009 to 2021.
Publisher: Elsevier BV
Date: 08-2012
Publisher: Elsevier BV
Date: 05-2017
Publisher: Springer International Publishing
Date: 2015
Publisher: Elsevier BV
Date: 09-2018
Publisher: Hindawi Limited
Date: 2013
DOI: 10.1155/2013/162563
Abstract: The contract between the carrier and forwarder is a long-term issue, and the repeated contract business makes the forwarder develop a reference point based on the contract prices, and this reference effect, to a large extent, affects the forwarder’s contract purchasing decisions. Based on that, this paper introduces the reference effect in the sea-cargo supply chain and studies a multiple-period contract problem between the carrier and the forwarder. It is found that when the capacity price in the spot market is less than the forwarder’s willingness-to-pay, the forwarder’s contract purchasing decision is not affected by the reference effect, only by the capacity price in the spot market, and the multiple-period contract problem can be simplified into a single-period game. In addition, the carrier’s optimal contract wholesale price approaches the capacity price in the spot market. Although, the forwarder’s contract purchasing decision depends upon the reference effect, it is difficult to derive the closed-form solution. Moreover, because of the risk in the spot market, the carrier tends to sell his/her capacity in the contract market. Finally, we employ the numerical simulation to study the carrier’s contract pricing decisions and the forwarder’s capacity purchasing decisions in two cases.
Publisher: Elsevier BV
Date: 03-2014
Publisher: Elsevier BV
Date: 06-2018
Publisher: Wiley
Date: 27-02-2022
DOI: 10.1002/BSE.2970
Abstract: In the real world, there are complex decision‐making problems in which a variety of intertwined factors and hierarchical structures exist, and it is difficult or impossible to solve these problems using classical methods. The prioritization of circular economy (CE) adoption barriers is one such complex problem that cannot be solved using current classical methods. Hence, in this paper, for the first time, a new method, namely, FBWDS, is developed. FBWDS derives from the combination of fuzzy best–worst method ( BW M), fuzzy decision‐making trial and evaluation laboratory ( D EMATEL), and S upermatrix structure. This proposed method establishes weights of the intertwined factors in hierarchical networks under uncertainty these weighted factors and their interdependencies are calculated using the fuzzy BWM and fuzzy DEMATEL techniques, respectively. In addition, the Supermatrix structure is applied to integrate the results of these two techniques. The proposed approach efficiency is evaluated in the field of the CE adoption barriers using data from a cable and wire industry in Iran. The results showed that “high setup costs,” “financial limitations,” and “absence of public awareness about CE” rank as the most challenging barriers, and “lack of standards for designing recycled products” and “absence of standard system to evaluate performance” are the least important barriers to CE adoption in the cable and wire industry.
Publisher: Elsevier BV
Date: 06-2022
Publisher: Elsevier BV
Date: 09-2023
Publisher: Elsevier BV
Date: 03-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Elsevier BV
Date: 12-2019
Publisher: Elsevier BV
Date: 07-2023
Publisher: WORLD SCIENTIFIC (EUROPE)
Date: 04-2023
Publisher: Elsevier BV
Date: 02-2023
Publisher: Elsevier BV
Date: 05-2021
Publisher: Elsevier BV
Date: 02-2018
Publisher: Springer Science and Business Media LLC
Date: 19-02-2016
Publisher: Kaunas University of Technology (KTU)
Date: 28-10-2015
Publisher: Emerald
Date: 03-2011
DOI: 10.1108/14635771111109869
Abstract: The purpose of this paper is to propose a structured model for the selection of a third‐party reverse logistics provider (3PRLP) under fuzzy environment for the battery industry, which establishes the relative weights for attributes and sub‐attributes. This paper uses fuzzy extent analysis to solve the 3PRLP selection problem. Owing to growing environmental legislations, reverse logistics (RL) has attained more importance among practitioners and academicians. The important decision related to RL is whether the company should maintain the separate RL system or whether it can be outsourced. RL takes 12 times as many steps to process returns as it does to manage outbound logistics (Accenture supply chain management practice), consequently many companies decided to outsource the RL activities or functions through 3PRLPs. The paper proposes a way of selecting the best 3PRLP using fuzzy extent analysis. Fuzzy extent analysis is a highly multi‐faceted methodology which requires more numerical calculations and increases the time to take a decision. A limitation of this work is that in this study only fuzzy extent analysis has been concentrated on and other multi‐criteria decision‐making methods such as VIKOR, TOPSIS and ELECTRE can be applied in a fuzzy environment for solving such problems. In this research, seven attributes and 34 sub‐attributes are considered and the interpretation of RL attributes in terms of their pair‐wise comparisons has been carried out. Those attributes possessing lower priorities in the fuzzy extent analysis need to be taken care of on a selection of the best 3PRLP.
Publisher: Elsevier BV
Date: 07-2021
Publisher: Elsevier BV
Date: 07-2021
Publisher: MDPI AG
Date: 23-03-2015
DOI: 10.3390/SU7033493
Publisher: Elsevier BV
Date: 09-2021
Publisher: Springer Science and Business Media LLC
Date: 23-06-2016
Publisher: Elsevier BV
Date: 10-2018
Publisher: Elsevier BV
Date: 07-2013
Publisher: Springer Science and Business Media LLC
Date: 03-06-2021
Publisher: Wiley
Date: 07-08-2020
DOI: 10.1111/DECI.12481
Abstract: We address the dynamic design of supply chain networks in which the moments of demand distribution function are uncertain and facilities’ availability is stochastic because of possible disruptions. To incorporate the existing stochasticity in our dynamic problem, we develop a multi‐stage stochastic program to specify the optimal location, capacity, inventory, and allocation decisions. Further, a data‐driven rolling horizon approach is developed to use observations of the random parameters in the stochastic optimization problem. In contrast to traditional stochastic programming approaches that are valid only for a limited number of scenarios, the rolling horizon approach makes the determined decisions by the stochastic program implementable in practice and evaluates them. The stochastic program is presented as a quadratic conic optimization, and to generate an efficient scenario tree, a forward scenario tree construction technique is employed. An extensive numerical study is carried out to investigate the applicability of the presented model and rolling horizon procedure, the efficiency of risk‐measurement policies, and the performance of the scenario tree construction technique. Several key practical and managerial insights related to the dynamic supply chain network design under uncertainty are gained based on the computational results.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2013
Publisher: Informa UK Limited
Date: 19-11-2020
Publisher: Informa UK Limited
Date: 10-04-2023
Publisher: Elsevier BV
Date: 10-2014
Publisher: Elsevier BV
Date: 02-2018
Publisher: Elsevier BV
Date: 06-2018
Publisher: Elsevier BV
Date: 2015
Publisher: Springer Science and Business Media LLC
Date: 06-11-2015
Publisher: Springer Science and Business Media LLC
Date: 10-11-2021
Publisher: Hindawi Limited
Date: 2013
DOI: 10.1155/2013/507953
Abstract: Potential consequences of flood disasters, including severe loss of life and property, induce emergency managers to find the appropriate locations of relief rooms to evacuate people from the origin points to a safe place in order to lessen the possible impact of flood disasters. In this research, a p-center location problem is considered in order to determine the locations of some relief rooms in a city and their corresponding allocation clusters. This study presents a mixed integer nonlinear programming model of a capacitated facility location-allocation problem which simultaneously considers the probabilistic distribution of demand locations and a fixed line barrier in a region. The proposed model aims at minimizing the maximum expected weighted distance from the relief rooms to all the demand regions in order to decrease the evacuation time of people from the affected areas before flood occurrence. A real-world case study has been carried out to examine the effectiveness and applicability of the proposed model.
Publisher: Emerald
Date: 11-02-2019
Abstract: The purpose of this paper is to develop a better understanding of how transportation system factors affect city housing markets. The goal was to show that identifying these factors alone is not enough without also examining their effects and variations according to the housing location. Transportation system factors were identified by conducting a thorough literature review. The factors’ relevance was tested using a quantitative methodology and a s le of 317 Vilnius residents. This city was next ided into three zones, and data collected from 18 real estate experts was subjected to qualitative analysis. The analytic hierarchy process was then applied to identify transportation system factors’ level of impact and dynamics by the housing location. The results show that the factors affect the housing market in question but that these effects vary by the housing location and the most critical factors differ for each city zone. Only data on Vilnius were used. Further research is needed to compare transportation factors’ dynamics in multiple cities. Priorities in transportation system improvements should be assessed to facilitate sustainable urban development and enhance the residents’ quality of life. Housing market regulations can only be successful if investment in transportation systems is allocated purposefully and coherently. This research went beyond identifying transportation system factors by employing a broad, systematic approach to clarifying potential options for regulating housing markets through transportation system projects.
Publisher: Elsevier BV
Date: 07-2023
Publisher: Elsevier BV
Date: 09-2017
Publisher: Elsevier BV
Date: 12-2019
Publisher: Elsevier BV
Date: 07-2020
Publisher: Informa UK Limited
Date: 03-01-2018
Publisher: Informa UK Limited
Date: 28-08-2013
Publisher: Elsevier BV
Date: 11-2017
Publisher: Elsevier BV
Date: 04-2015
Publisher: Elsevier BV
Date: 12-2015
Publisher: Elsevier BV
Date: 05-2020
Publisher: Elsevier BV
Date: 07-2017
Publisher: Elsevier BV
Date: 04-2015
Publisher: Springer Science and Business Media LLC
Date: 28-10-2016
Publisher: Elsevier BV
Date: 11-2015
Publisher: Elsevier BV
Date: 2021
Publisher: Springer Science and Business Media LLC
Date: 09-03-2010
Publisher: Vilnius Gediminas Technical University
Date: 17-04-2023
Abstract: Probability weighting function (PWF) is the psychological probability of a decision-maker for objective probability, which reflects and predicts the risk preferences of decision-maker in behavioral decisionmaking. The existing approaches to PWF estimation generally include parametric methodologies to PWF construction and nonparametric elicitation of PWF. However, few of them explores the combination of parametric and nonparametric elicitation approaches to approximate PWF. To describe quantitatively risk preferences, the Newton interpolation, as a well-established mathematical approximation approach, is introduced to task-specifically match PWF under the frameworks of prospect theory and cumulative prospect theory with descriptive psychological analyses. The Newton interpolation serves as a nonparametric numerical approach to the estimation of PWF by fitting experimental preference points without imposing any specific parametric form assumptions. The elaborated nonparametric PWF model varies in accordance with the number of the experimental preference points elicitation in terms of its functional form. The introduction of Newton interpolation to PWF estimation into decision-making under risk will benefit to reflect and predict the risk preferences of decision-makers both at the aggregate and in idual levels. The Newton interpolation-based nonparametric PWF model exhibits an inverse S-shaped PWF and obeys the fourfold pattern of decision-makers’ risk preferences as suggested by previous empirical analyses.
Publisher: Springer Science and Business Media LLC
Date: 02-03-2021
Publisher: Elsevier BV
Date: 11-2021
Publisher: Elsevier BV
Date: 03-2023
Publisher: Elsevier BV
Date: 11-2018
Publisher: Elsevier BV
Date: 05-2017
Publisher: Elsevier BV
Date: 08-2022
Publisher: Vilnius Gediminas Technical University
Date: 27-06-2013
DOI: 10.3846/16111699.2012.761648
Abstract: Supply chain (SC) management aims to increase the overall profit through improvement of various activities and components. Many contradictions between parts and different levels of a SC have been identified in order to achieve overall objectives. Such shortfalls may result in decreased strength and competitiveness of the SC. This paper considers the main conflicts related to inventory, pricing and marketing costs in an unlimited three-echelon supply chain. Aimed at avoiding a profit decrease, the research focuses on finding an equilibrium between inventory, pricing and marketing cost of an unlimited three-echelon SC. On each level, the best leadership option with the greatest payoff is sought for between K retailer, M manufacturer and S supplier. According to Stackelberg non-cooperative game theory, each SC level can become a decision-making leader depending on the available negotiating power. Consequently, three leadership types are modelled on each level and the total SC profit is calculated and compared to ascertain the best option. The authors of the article found that transfer of leadership from a retailer to supplier results in reduction of the total profit. In addition, the research focused on the main effects of parameters used in leadership models. Finally, validation of the proposed model was examined by simulation and Arena software, which indicated that models based on a game theory were performed accurately.
Publisher: Elsevier BV
Date: 08-2023
Publisher: Elsevier BV
Date: 06-2019
Publisher: Informa UK Limited
Date: 06-2012
Publisher: Elsevier BV
Date: 11-2019
Publisher: Informa UK Limited
Date: 15-05-2006
Publisher: Elsevier BV
Date: 12-2020
Publisher: Informa UK Limited
Date: 20-12-2016
Publisher: Elsevier BV
Date: 07-2019
Publisher: Hindawi Limited
Date: 2015
DOI: 10.1155/2015/106142
Publisher: Springer Science and Business Media LLC
Date: 18-02-2016
Publisher: Elsevier BV
Date: 10-2021
Publisher: Elsevier BV
Date: 04-2015
Publisher: Informa UK Limited
Date: 04-2013
Publisher: Elsevier BV
Date: 04-2018
Publisher: Springer Science and Business Media LLC
Date: 05-08-2021
Publisher: Elsevier BV
Date: 02-2015
Publisher: Elsevier BV
Date: 08-2016
Publisher: Elsevier BV
Date: 11-2012
Publisher: Elsevier BV
Date: 2020
Publisher: Elsevier BV
Date: 2018
Publisher: Elsevier BV
Date: 05-2017
Publisher: Elsevier BV
Date: 12-2014
Publisher: Elsevier BV
Date: 07-2022
Publisher: Inderscience Publishers
Date: 2009
Publisher: Inderscience Publishers
Date: 2010
Publisher: Emerald
Date: 03-03-2022
DOI: 10.1108/IJLM-06-2021-0334
Abstract: In recent times, due to rapid urbanization and the expansion of the E-commerce industry, drone delivery has become a point of interest for many researchers and industry practitioners. Several factors are directly or indirectly responsible for adopting drone delivery, such as customer expectations, delivery urgency and flexibility to name a few. As the traditional mode of delivery has some potential drawbacks to deliver medical supplies in both rural and urban settings, unmanned aerial vehicles can be considered as an alternative to overcome the difficulties. For this reason, drones are incorporated in the healthcare supply chain to transport lifesaving essential medicine or blood within a very short time. However, since there are numerous types of drones with varying characteristics such as flight distance, payload-carrying capacity, battery power, etc., selecting an optimal drone for a particular scenario becomes a major challenge for the decision-makers. To fill this void, a decision support model has been developed to select an optimal drone for two specific scenarios related to medical supplies delivery. The authors proposed a methodology that incorporates graph theory and matrix approach (GTMA) to select an optimal drone for two specific scenarios related to medical supplies delivery at (1) urban areas and (2) rural/remote areas based on a set of criteria and sub-criteria critical for successful drone implementation. The findings of this study indicate that drones equipped with payload handling capacity and package handling flexibility get more preference in urban region scenarios. In contrast, drones with longer flight distances are prioritized most often for disaster case scenarios where the road communication system is either destroyed or inaccessible. The methodology formulated in this paper has implications in both academic and industrial settings. This study addresses critical gaps in the existing literature by formulating a mathematical model to find the most suitable drone for a specific scenario based on its criteria and sub-criteria rather than considering a fleet of drones is always at one's disposal. This research will serve as a guideline for the practitioners to select the optimal drone in different scenarios related to medical supplies delivery. The proposed methodology incorporates GTMA to assist decision-makers in order to appropriately choose a particular drone based on its characteristics crucial for that scenario. This research will serve as a guideline for the practitioners to select the optimal drone in different scenarios related to medical supplies delivery.
Publisher: Elsevier BV
Date: 03-2023
Publisher: Informa UK Limited
Date: 13-03-2021
Publisher: Springer Science and Business Media LLC
Date: 20-03-2022
Publisher: Inderscience Publishers
Date: 2009
Publisher: Elsevier BV
Date: 2016
Publisher: Elsevier BV
Date: 11-2016
Publisher: Elsevier BV
Date: 05-2020
Publisher: IEEE
Date: 07-2010
Publisher: Springer Science and Business Media LLC
Date: 11-11-2019
Publisher: Informa UK Limited
Date: 17-01-2022
Publisher: Informa UK Limited
Date: 19-04-2019
Publisher: Taru Publications
Date: 02-09-2016
Publisher: Springer Science and Business Media LLC
Date: 08-06-2022
Publisher: MDPI AG
Date: 02-02-2015
DOI: 10.3390/SU7021603
Publisher: Elsevier BV
Date: 10-2014
Publisher: IEEE
Date: 07-2011
Publisher: Elsevier BV
Date: 04-2011
Publisher: Informa UK Limited
Date: 02-07-2020
Publisher: Wiley
Date: 05-07-2023
DOI: 10.1111/DECI.12609
Abstract: The supply chain is vulnerable to disruptions, which can lead to operational failure. Therefore, it is crucial to investigate and monitor the risks associated with such disruptions. Epidemics, including the profound impact of COVID‐19, exemplify disruptive risks that engender complexities throughout the value chain. COVID‐19 has caused significant disruptions to the global supply chain due to the preexisting fragile supply chains, resulting in the unavailability of essential raw materials, halts in production, and imbalances between supply and demand. It has forced the supply chain community to rethink their risk mitigation strategies. Despite its significance, there are a few studies on the existing options and strategies to mitigate the risks associated with epidemics such as COVID‐19. This special issue explores state‐of‐the‐art knowledge of various risks and their mitigation strategies, presenting optimized models and solutions. This editorial seeks to introduce valuable insights and illuminate promising avenues for future research by reviewing existing studies. The comprehensive understanding derived from this editorial and the accompanying articles of this special issue will benefit both researchers and practitioners, enabling them to navigate the multifaceted landscape of epidemic‐induced disruptive risks in the supply chain and adopt suitable mitigation strategies. Furthermore, this special issue lays a solid foundation for implementing advanced methods for managing and mitigating the disruptive risks that epidemics pose to the supply chain.
Publisher: Inderscience Publishers
Date: 2009
Publisher: Vilnius Gediminas Technical University
Date: 26-03-2014
DOI: 10.3846/20294913.2014.885914
Abstract: This study develops diffusion models for technological consumer products under the marketing environment when a product is marketed in a segmented market and observes two distinctive promotional strategies of mass and differentiated promotion an under explored study area. Mass promotion strategy creates a spectrum effect in market with an aim to create wider product awareness and influence the market size. Whereas the differentiated promotion strategy plays major role in external influence component in the respective segment and target for adoption by the current potential segment. Previous studies on segmented diffusion models assumed only first time purchase and constant market size which may yield underestimated results and fail to give appropriate insight of the diffusion process. The study develops and validates generalized diffusion models for segmented market incorporating the repurchase behaviour of the adopter population and dynamic potential market size considerations. Performance of the proposed models is analysed on real life data for a new product marketed in four segments and compared with the previous study.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Informa UK Limited
Date: 08-2013
Publisher: Elsevier BV
Date: 03-2014
Publisher: Elsevier BV
Date: 03-2010
Publisher: Informa UK Limited
Date: 21-03-2022
Publisher: Elsevier BV
Date: 05-2023
Publisher: IEEE
Date: 07-2010
Publisher: Informa UK Limited
Date: 13-07-2021
Publisher: Informa UK Limited
Date: 09-2008
Publisher: Springer Science and Business Media LLC
Date: 02-2016
DOI: 10.1038/530281B
Publisher: Springer Science and Business Media LLC
Date: 16-11-2013
Publisher: Informa UK Limited
Date: 05-01-2018
Publisher: Elsevier BV
Date: 07-2022
Publisher: Elsevier BV
Date: 10-2021
Publisher: Elsevier BV
Date: 04-2016
Publisher: Elsevier BV
Date: 09-2017
Publisher: Elsevier BV
Date: 12-2015
Publisher: Elsevier BV
Date: 07-2023
Publisher: Elsevier BV
Date: 12-2013
Publisher: Elsevier BV
Date: 08-2015
Publisher: Mechanical Engineering Faculty in Slavonski Brod
Date: 2015
Publisher: Elsevier BV
Date: 11-2022
Publisher: Elsevier BV
Date: 08-2018
Publisher: Elsevier BV
Date: 09-2012
Publisher: Emerald
Date: 09-05-2016
DOI: 10.1108/IMDS-05-2015-0180
Abstract: – Third-party logistics (3PL) plays a main role in supply chain management and, as a result, has experienced remarkable growth. The demand for 3PL providers has become a main approach for companies to offer better customer service, reduce costs, and gain competitive advantage. This paper identifies important criteria for 3PL provider selection and evaluation, and the purpose of this paper is to select 3PL providers from the viewpoint of firms which were already outsourcing their logistics services. – This study utilized the grey decision-making trial and evaluation laboratory (DEMATEL) method to develop 3PL provider selection criteria. Because human judgments are vague and complicated to depict by accurate numerical values, the grey system theory is used to handle this problem. – The findings revealed the structure and interrelationships between criteria and identified the main criteria for 3PL provider selection. The most important criteria for 3PL provider selection are on time delivery performance, technological capability, financial stability, human resource policies, service quality, and customer service, respectively. – The paper’s results help managers of automotive industries, particularly in developing countries, to outsource logistics activities to 3PL providers effectively and to create a significant competitive advantage. – The main contributions of this paper are twofold. First, this paper proposes an integrated grey DEMATEL method to consider interdependent relationships among the 3PL provider selection criteria. Second, this study is one of the first studies to consider 3PL provider selection in a developing country like Iran.
Publisher: Elsevier BV
Date: 04-2017
Publisher: Elsevier BV
Date: 11-2009
Publisher: Vilnius Gediminas Technical University
Date: 14-11-2019
Abstract: One of the most essential topics for the present and future generations is sustainability. Today, because of threats made by traditional and old manufacturing practices, sustainability has become an essential topic in manufacturing companies. Attaining a sustainable manufacturing process requires making decisions about the strategies of manufacturing. In this paper, a novel integrated model is developed to evaluate sustainable manufacturing strategies. The proposed model is based upon two multi-criteria decision-making (MCDM) methods: WASPAS (Weighted Aggregated Sum Product ASsessment) and SECA (Simultaneous Evaluation of Criteria and Alternatives). Due to the uncertainty of evaluation process, we use interval type-2 fuzzy sets (IT2FSs). An ex le of evaluating sustainable manufacturing strategies is presented, and a sensitivity analysis is carried out for illustration of the developed approach and validation of it. The findings show the efficiency of the developed model, and based on the considered ex le, “Eco-efficiency” can be regarded as an effective strategy.
Publisher: Elsevier BV
Date: 06-2022
Publisher: Elsevier BV
Date: 10-2020
Publisher: Elsevier BV
Date: 09-2014
Publisher: Elsevier BV
Date: 10-2013
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 05-2013
Publisher: Elsevier BV
Date: 05-2013
Publisher: Springer Science and Business Media LLC
Date: 23-05-2016
Publisher: Elsevier BV
Date: 2017
Publisher: IEEE
Date: 10-2012
Publisher: Elsevier BV
Date: 02-2017
Publisher: Elsevier BV
Date: 02-2016
Publisher: Elsevier BV
Date: 12-2018
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 02-2024
Publisher: Springer Science and Business Media LLC
Date: 02-2017
Publisher: Elsevier BV
Date: 2018
Publisher: Elsevier BV
Date: 2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2023
Publisher: Elsevier BV
Date: 08-2016
Publisher: Elsevier BV
Date: 09-2021
Publisher: Informa UK Limited
Date: 16-10-2015
Publisher: Elsevier BV
Date: 11-2022
Publisher: Hindawi Limited
Date: 2014
DOI: 10.1155/2014/951376
Publisher: MDPI AG
Date: 06-01-2017
DOI: 10.3390/SU9010064
Publisher: Elsevier BV
Date: 11-2017
Publisher: Elsevier BV
Date: 02-2017
Publisher: Elsevier BV
Date: 06-2022
Publisher: Emerald
Date: 15-06-2023
DOI: 10.1108/IMDS-02-2022-0082
Abstract: Research on the Internet of Things (IoT) has gained momentum in various industry contexts. However, the literature lacks broad empirical evidence on the factors that influence users' intention to adopt this cutting-edge technology, especially in the food and beverage industry (F& BI) – a significant yet unexplored setting. Therefore, the authors aim to extend the “Unified Theory of Acceptance and Use of Technology (UTAUT)” model by coupling it with perceived collaborative advantage, organizational inertia and perceived cost and explore the key determinants of IoT adoption for the digital transformation of the F& BI. This study employs a cross-sectional quantitative approach, where a s le of 307 usable responses was drawn from the senior managers of the Australian F& BI. The authors have found that performance expectancy, perceived collaborative advantage, effort expectancy, social influence and facilitating conditions have a strong positive influence on the behavioural intention to adopt IoT for the digital transformation of the F& BI. Furthermore, while high perceived costs and organizational inertia are often considered negative factors in adopting new technology, our results reveal the insignificant influence of these factors on the adoption of IoT, which is interesting. The findings also suggest that age and voluntariness significantly moderate most of the relationships, while gender is an insignificant moderator. The study provides several novel insights into the existing body of knowledge by extending the UTAUT model with three variables and applying it in a unique context.
Publisher: Elsevier BV
Date: 03-2014
Publisher: Wiley
Date: 15-05-2022
DOI: 10.1002/SD.2331
Abstract: Social sustainability, the social dimension of sustainable development goals (SDGs), is getting increasing attention in recent years. The issues of social sustainability are very challenging in the textile and clothing supply chain especially in emerging economies. This article proposes a modified fuzzy interpretive structural modelling (fuzzy ISM) for analysing the contextual relationships among the barriers of social sustainability. Twenty barriers are shortlisted based on review of literature and experts' opinion. The contextual relationships among the barriers are captured in form of linguistic ratings given by the experts. Using the modified fuzzy ISM method, an eight‐level hierarchical model is developed. The lack of consumer awareness is found to be the most important driving barrier. The other important driving barriers are lack of strict implementation of government laws and regulation, and lack of financial support from the Government and trade bodies. This study shows that the issues of social sustainability in the textile and clothing supply chain can be addressed by increasing consumer awareness, coercive pressure from the regulatory bodies, and financial aids and incentives to supply chain partners. This study contributes to the methodology by developing an improved interpretive model of decision making. The hierarchical and contextual relationships among the social sustainability barriers have been deciphered. The study also utilises organisational change management theory to address the barriers of adoption of social sustainability. Outcome of this research will be useful to frame strategies to implement social sustainability in textile and clothing supply chain.
Publisher: Elsevier BV
Date: 11-2019
Publisher: Elsevier BV
Date: 2018
DOI: 10.1016/J.JENVMAN.2017.10.019
Abstract: Considering the unique relevance of Brazilian bio ersity, this research aims to investigate the main barriers to bio ersity-based R&D and eco-design development in a leading national company which has been commended for its innovation and sustainability. The methodology for this research was based on on-location visits, in-depth interviews, and consensus building among R&D, sustainability, and quality managers. A multi-criteria decision-making (MCDM) approach was adopted through interpretive structural modelling (ISM), a method that assists decision makers to transform complex models with unclear data into structural models. Some of the most influential barriers to bio ersity-based eco-design initiatives are "lack of legal incentive", "not enough demand from the market", and "not enough available knowledge/scientific data." The most relevant barrier was "no legal incentive" from government. Consequently, managers should concentrate their efforts in tackling those barriers that may affect other barriers known as 'key barriers'. Government should work decisively toward promoting a framework of legal incentives for bio-based eco-design otherwise, metaphorically, "there is not carnival without the samba singer who pushes the rhythm". The results given here reveal the barriers for bio-based eco-design in a Brazilian leading company, and this is the first work combining ISM to barriers to bio ersity R&D and eco-design.
Publisher: Informa UK Limited
Date: 20-01-2019
Publisher: Informa UK Limited
Date: 02-2016
DOI: 10.1057/JORS.2015.51
Publisher: Informa UK Limited
Date: 26-11-2008
Publisher: Emerald
Date: 02-02-2010
DOI: 10.1108/02635571011008399
Abstract: The purpose of this paper is to present an approach to identify and rank the criteria used for the supplier development using interpretative structural modeling (ISM). The paper develops a framework to analyze the interactions among the criteria such as competitive pressure, evaluation and certification system, incentives, supplier development programs, inter‐organizational communication, buyer‐supplier relationship, supplier commitment, supplier performance, asset specificity, joint action, trust, long‐term strategic goals, top management support, purchasing performance, and supplier strategic objective for the supplier development using ISM. The developed framework is illustrated using a case study taken in an automobile firm. The paper contributes to research in supply chain management (SCM) and particularly in supplier development. Research in the area of SCM has intensified in recent years for a number of reasons. Managers have now realized that actions taken by one member of the chain can influence the responsiveness, efficiency and profitability of the complete supply chain. Firms are increasingly thinking in terms of competing as part of a supply chain against other supply chains, rather than as a single firm against other in idual firms. Since the proposed framework is applied for only a single company, further studies can be done using the same framework for several companies in India. This will provide a better understanding of how the variables that influence supplier development are affected in different types of industry. Managers can use the proposed framework to develop better relationships with suppliers and to create management responses that influence and improve their relationships with them. This paper uses 15 criteria to propose a framework for the supplier development and also finds the interactions between the criteria which influence the most and the least to improve the relationship with the suppliers.
Publisher: World Scientific Pub Co Pte Lt
Date: 04-2016
DOI: 10.1142/S0217595916500123
Abstract: Digital revolution has resulted in a paradigm shift in the field of marketing with online advertising becoming increasingly popular as it offers the reach, range, scale and interactivity to organizations to influence their target customers. Moreover, web advertisement is the primary revenue stream for several websites that provide free services to internet users. The website management team needs to do a lot of planning and optimally schedule various advertisements (ads) to maximize revenue, taking care of advertisers’ needs under system constraints. In this paper, we have considered the case of news websites that provide news to its viewers for free with ads as the primary source of their revenue. The considered news website consists of many webpages with different banners for advertisement. Each banner consists of different number of partitions and cost per partition varies for different rectangular banners. Many ads compete with each other for their placement on a webpage on a specific banner, based on partition requirement, at specific time interval(s). Here, we have formulated a mixed integer 0–1 linear programming advertisement scheduling problem to maximize the revenue over planning horizon ided into time intervals under various system and technical constraints. A case is presented to show the applicability of the model. Branch and bound integer programming and goal programming techniques have been used to solve the formulated problem.
Publisher: Elsevier BV
Date: 03-2016
Publisher: Inderscience Publishers
Date: 2015
Publisher: Informa UK Limited
Date: 07-2013
Publisher: Elsevier BV
Date: 12-2013
Publisher: Informa UK Limited
Date: 18-01-2018
Publisher: Springer Science and Business Media LLC
Date: 18-07-2022
Publisher: Springer Science and Business Media LLC
Date: 29-06-2020
Publisher: Elsevier BV
Date: 11-2013
Publisher: Elsevier BV
Date: 03-2014
Publisher: Elsevier BV
Date: 11-2021
Publisher: Elsevier BV
Date: 07-2015
Publisher: Elsevier BV
Date: 10-2019
Publisher: Hindawi Limited
Date: 2014
DOI: 10.1155/2014/901914
Abstract: The paper aims to illustrate the use of fuzzy data envelopment analysis (DEA) in analyzing reverse supply chain (RSC) performance from the manufacturer’s perspective. By using an alternative α -cut approach, the fuzzy DEA model was converted into a crisp linear programming problem, thereby altering the problem to an interval programming one. The model is able to obtain precise and robust efficiency values. An investigation was also made between the obtained efficiency scores and certain relevant background information of the companies. The study revealed that while ISO 14001 certification usually ensures an environmentally friendly supply chain network, companies which have implemented RSC techniques since a longer duration do not necessarily have a more efficient supply chain in general.
Publisher: Springer India
Date: 2014
Publisher: Elsevier BV
Date: 09-2016
Publisher: Elsevier BV
Date: 09-2021
Publisher: Emerald
Date: 24-12-2019
Publisher: Springer Science and Business Media LLC
Date: 11-11-2021
Publisher: University of Queensland Library
Publisher: Elsevier BV
Date: 02-2023
Publisher: Elsevier BV
Date: 07-2021
Publisher: Inderscience Publishers
Date: 2009
Publisher: Elsevier BV
Date: 05-2016
Publisher: Elsevier BV
Date: 09-2018
Publisher: Inderscience Publishers
Date: 2009
Publisher: Elsevier BV
Date: 05-2013
Publisher: AIP Publishing
Date: 2023
DOI: 10.1063/5.0128073
Abstract: Municipal solid waste in a circular economy will be used as a resource, and the design of a product-oriented waste management network is essential. Considering the significant added value of bioenergy, it is one of the most important outputs of the waste management network that the production of a erse range of them needs further study. Focusing on this issue, a sustainable waste management network was designed to optimally extract various bioenergies by considering all three dimensions of economic, environmental, and social sustainability under uncertain conditions. The proposed model in this research for the sustainable municipal solid waste network was a multi-objective possibilistic mixed-integer non-linear programming. For dealing with uncertainty in this network, a combination of methods based on interactive fuzzy programming was used. The model was implemented after collecting data from Arad Kooh, Iran as a case study using the General Algebraic Modeling System (GAMS) software. The results of the proposed solution method were the amount of bioenergies generated by treatment technologies and the launched technologies throughout the defined time interval. The validation results of the proposed solution method confirm the research results.
Publisher: Informa UK Limited
Date: 21-01-2023
Publisher: Elsevier BV
Date: 2020
Publisher: Elsevier BV
Date: 11-2022
Publisher: Elsevier BV
Date: 06-2016
Publisher: Informa UK Limited
Date: 16-05-2017
Publisher: Elsevier BV
Date: 05-2009
Publisher: Elsevier BV
Date: 08-2019
Publisher: Elsevier BV
Date: 10-2020
Publisher: Elsevier BV
Date: 12-2022
Publisher: Elsevier BV
Date: 03-2017
Publisher: Springer Science and Business Media LLC
Date: 04-01-2023
Publisher: Elsevier BV
Date: 02-2015
Publisher: Emerald
Date: 08-02-2021
Abstract: The purpose of this study is to identify and evaluate supply chain strategies (SCSs) that drive financial performance to guide practitioners, especially in liquefied natural gas (LNG) networks, to review and adopt SCSs that drive competitiveness and value creation for investors. Analytical hierarchy process (AHP) was deployed to prioritise SCSs according to their relative impact on financial performance in LNG networks. Interviews with experts were analysed using template analysis to establish latent drivers of financial performance specific to LNG networks. Results support the significant role of SCSs in improving financial performance. Although findings prioritised collaborative strategy as the most important driver of financial performance in LNG networks, to fully optimise financial outcomes, all the SCSs should be implemented across LNG networks as no single strategy in isolation is a standalone driver of financial performance. The AHP model provides a novel ranking for SCSs and measures to guide decision-makers. LNG practitioners may exploit the results to make informed decisions. The study extends previous literature by proposing a framework and a new LNG empirical model that facilitates understanding of how SCSs contribute positively to financial performance and support practitioners in making strategic supply chain decisions.
Publisher: Elsevier BV
Date: 10-2012
Publisher: Informa UK Limited
Date: 25-03-2019
Publisher: Elsevier BV
Date: 2022
Publisher: Elsevier BV
Date: 07-2023
Publisher: Elsevier BV
Date: 06-2015
Publisher: Vilnius Gediminas Technical University
Date: 08-07-2014
DOI: 10.3846/16111699.2014.926289
Abstract: Supply chains have become the major and dominant paradigm of business and competition. The main challenge is how to act in multi-echelon supply chains considering the levels involved. Making a choice independently or integrating with some or all levels will be a critical decision, and therefore affects the overall profit of the chain. This article proposes a non-cooperative game theory approach to helping in making a better decision in the supply chain and gaining the most accessible benefit. Our research considers unlimited three-echelon supply chains with S suppliers, M manufacturers and K retailers. The Nash equilibrium and definition are used bearing in mind inventory and pricing and marketing cost as decision variables for this matter. This paper studies a three-echelon supply chain network and focuses on the value of integrating a pair of partners in the chain. In the decentralized case, the supplier sets its own price, the manufacturer points out order quantity, wholesale price and backorder quantity, and the retailer charges the final retail price of the product and marketing product. Though there are multiple players at a single echelon level, each manufacturer supplies only a specific product to a given retailer. In addition to the decentralized case, two integration scenarios have been taken into account: manufacturer-retailer and supplier-manufacturer. As for manufacturer-retailer integration, inventory/holding cost issues diminish to a single warehouse and the retailer does not have to enforce marketing effort any more. Supplier-manufacturer integration brings similar benefits. Under each scenario, all parties involved simultaneously set their strategies. Through a numerical experiment, 17 design cases (through designing experiments) have been developed and the total profit of the supply chain under each scenario has been evaluated. Statistical tests on the above introduced 17 experiments have found that the decentralized system performs significantly worse than the integration of the supplier with the manufacturer, whereas no significant difference can be observed regarding other combinations.
Publisher: Elsevier BV
Date: 2013
Publisher: Elsevier BV
Date: 08-2023
Publisher: Elsevier BV
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2014
Publisher: Kaunas University of Technology (KTU)
Date: 23-12-2015
Publisher: Elsevier BV
Date: 08-2021
Publisher: Elsevier BV
Date: 2019
Publisher: Elsevier BV
Date: 11-2015
Publisher: Elsevier BV
Date: 2014
Publisher: Springer Science and Business Media LLC
Date: 28-04-2013
Publisher: Elsevier BV
Date: 09-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Walter de Gruyter GmbH
Date: 09-2014
Abstract: Interests in Closed-Loop Supply Chain (CLSC) issues are growing day by day within the academia, companies, and customers. Many papers discuss profitability or cost reduction impacts of remanufacturing, but a very important point is almost missing. Indeed, there is no guarantee about the amounts of return products even if we know a lot about demands of first products. This uncertainty is due to reasons such as companies’ capabilities in collecting End-of-Life (EOL) products, customers’ interests in returning (and current incentives), and other independent collectors. The aim of this paper is to deal with the important gap of the uncertainties of return products. Therefore, we discuss the forecasting method of return products which have their own open-loop supply chain. We develop an integrated two-phase methodology to cope with the closed-loop supply chain design and planning problem. In the first phase, an Adaptive Network Based Fuzzy Inference System (ANFIS) is presented to handle the uncertainties of the amounts of return product and to determine the forecasted return rates. In the second phase, and based on the results of the first one, the proposed multi-echelon, multi-product, multi-period, closed-loop supply chain network is optimized. The second-phase optimization is undertaken based on using general exact solvers in order to achieve the global optimum. Finally, the performance of the proposed forecasting method is evaluated in 25 periods using a numerical ex le, which contains a pattern in the returning of products. The results reveal acceptable performance of the proposed two-phase optimization method. Based on them, such forecasting approaches can be applied to real-case CLSC problems in order to achieve more reliable design and planning of the network
Publisher: Elsevier BV
Date: 08-2022
Publisher: Elsevier BV
Date: 09-2015
Publisher: Elsevier BV
Date: 12-2014
Publisher: Elsevier BV
Date: 02-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Elsevier BV
Date: 03-2016
Publisher: Elsevier BV
Date: 02-2016
Publisher: Elsevier BV
Date: 08-2016
Publisher: Elsevier BV
Date: 09-2023
Publisher: Springer Science and Business Media LLC
Date: 07-06-2021
Publisher: Elsevier BV
Date: 2023
Publisher: Elsevier BV
Date: 08-2021
Publisher: Elsevier BV
Date: 2023
Publisher: Elsevier BV
Date: 2016
Publisher: Elsevier BV
Date: 10-2019
Publisher: Elsevier BV
Date: 03-2014
Publisher: Inderscience Publishers
Date: 2009
Publisher: Emerald
Date: 12-01-2023
DOI: 10.1108/IJLM-09-2021-0460
Abstract: Supply chain agility (SCA) is the primary strategy for reducing impacts and quick recovery when supply chains experience a disruption risk, such as the COVID-19 pandemic. This study will investigate how SCA can be achieved through supply chain information sharing (SCIS) under the different dependence relationships (DR) with suppliers or customers. The purpose of this paper is to investigate this issue. Based on information process and resource dependency theories, this study constructs and empirically tests a proposed model of the relationships amongst the three dimensions of SCIS and the two areas of SCA and the contingency effects of two types of DR on those relationships. Using a dataset collected from 400 manufacturers in China, the authors tested this theoretical model using multi-group and structural path analysis. The results of the structural path and multi-group analyses show that (1) all dimensions of SCIS are positively correlated with both areas of SCA and (2) dependence on the supplier and dependence on the customer have completely different impacts on the relationship between SCIS and SCA. This study can improve the understanding of the multidimensional concepts of SCIS and SCA and relationships between them under two different DR conditions in the Chinese manufacturing setting. It contributes to IS and the SCA literature and provides theoretically driven and empirical explanations for the erse dynamics between the dependence on the supplier and customer.
Publisher: Springer International Publishing
Date: 2018
Publisher: Inderscience Publishers
Date: 2010
Publisher: Elsevier BV
Date: 07-2017
Publisher: Elsevier BV
Date: 06-2020
Publisher: Elsevier BV
Date: 05-2019
Publisher: Springer Science and Business Media LLC
Date: 12-01-2016
Publisher: Informa UK Limited
Date: 03-09-2014
Publisher: Elsevier BV
Date: 05-2013
Publisher: Inderscience Publishers
Date: 2009
Publisher: Informa UK Limited
Date: 11-10-2023
Publisher: Elsevier BV
Date: 10-2023
Publisher: Emerald
Date: 21-10-2013
Abstract: – The purpose of this paper is to analyze the interaction among some of the major barriers that may hinder the implementation of third-party logistics (TPL) in manufacturing industries. – This paper uses an interpretive structural modeling (ISM) methodology to analyze the interactions among the barriers. – It is beneficial for the management of any firm to be aware of significant barriers and to diagnose those that could be integral to the organization's future survival. Many works have focused on identifying barriers for TPL implementation, but a model for such barriers is lacking. This paper attempts to develop a model for the barriers using an ISM methodology and analyzes the mutual interactions among the barriers. The model differentiates between the barriers so that driving barriers, which can intensify other barriers, and dependent barriers are identified separately. – In this research, eight barriers are considered. Interactions between the barriers are evaluated with the help of the ISM matrix. Of the eight barriers, three barriers, including the lack of application and knowledge of advanced information technology, congested roadways and ports, and fear of employees of the firm, demonstrate both strong driving power and strong dependence power, as illustrated in the MICMAC analysis.
Publisher: Elsevier BV
Date: 02-2015
Publisher: Emerald
Date: 16-09-2021
Abstract: This paper aims to propose a two-period model in which an original equipment manufacturer (OEM) decides the remanufacturability level of products in product design and unit patent licensing fee at the first period, and a third-party remanufacturer (3PR) that has been licensed by the OEM enters the remanufacturing market to compete with the OEM at the second period. This paper analyzes the OEM's optimal decisions of remanufacturability level in the product design and unit patent licensing fee at the first period, as well as the OEM's and the 3PR's optimal decisions of selling prices at the second period, under two scenarios that the remanufacturing is constrained or unconstrained by the collected quantity available at the end of the first period, by making use of game theory. The study finds that the OEM will choose high remanufacturability in product design only when the unit cost saving of remanufacturing or unit production cost of new products exceed certain thresholds. The study is the first attempt to simultaneously integrate product design and patent licensing in remanufacturing. It provides useful insights for OEM managers who face competition from 3PRs and may use their product design strategies to deter 3PRs and may protect patent of products by levying patent licensing fees from 3PRs.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Springer Science and Business Media LLC
Date: 04-10-2018
Publisher: Elsevier BV
Date: 06-2015
Publisher: Elsevier BV
Date: 11-2014
Publisher: Elsevier BV
Date: 04-2021
Publisher: Elsevier BV
Date: 2022
Publisher: Elsevier BV
Date: 08-2023
Publisher: Springer Science and Business Media LLC
Date: 29-03-2013
Publisher: Informa UK Limited
Date: 25-03-2016
Publisher: Elsevier BV
Date: 09-2013
Publisher: Elsevier BV
Date: 03-2023
Publisher: Elsevier BV
Date: 10-2023
Publisher: Informa UK Limited
Date: 26-03-2014
Publisher: Elsevier BV
Date: 10-2015
Publisher: Elsevier BV
Date: 11-2016
Publisher: Elsevier BV
Date: 2022
No related grants have been discovered for kannan govindan.