ORCID Profile
0000-0001-6919-9474
Current Organisation
University of South Australia
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Business Information Systems (Incl. Data Processing) | Information Systems | Decision Support And Group Support Systems | Industrial Engineering
Publisher: Informa UK Limited
Date: 10-2011
Publisher: Centers for Disease Control and Prevention (CDC)
Date: 07-2011
Publisher: Springer Science and Business Media LLC
Date: 16-07-2021
Publisher: Emerald
Date: 25-10-2011
Publisher: Springer Science and Business Media LLC
Date: 13-11-2011
Publisher: Elsevier BV
Date: 12-2013
Publisher: Springer London
Date: 2007
Publisher: Elsevier BV
Date: 12-1999
Publisher: Emerald
Date: 05-06-2017
DOI: 10.1108/JMTM-11-2016-0162
Abstract: The purpose of this paper is to propose an approach to evaluate product performance of returned products, using four key performance attributes as the basis for improving sustainability through product recovery. A fuzzy logic approach is developed to account a trade-off scenario for a manufactured product with recovery options. This approach is demonstrated using a numerical ex le and is validated using a case study in the automotive parts and components industry. Product utilisation value (PUV) is found to be a useful index that manufacturers can use to assess product recovery options, as it brings together a number of conflicting parameters into a rationalised value for decision making. In addition, PUV provides a rationalised approach for comparing and selecting the most appropriate recovery configuration option. The authors only utilise four key performance measures to derive PUV. Further research is needed to modify and incorporate other measures that are important to decision makers to improve sustainability in manufacturing supply chains. The proposed approach may motivate decision makers to consider sustainable recovery options by comparing PUVs of products for primary and secondary markets. The case study demonstrated the conflict and complexity organisations face in a global supply chain of a competitive industry. The authors propose an approach to optimise trade-off considerations of selected performance attributes through PUV. This PUV as a benchmark can help improve recovery of the returned products and reduce landfill.
Publisher: Springer Netherlands
Date: 2011
Publisher: Elsevier BV
Date: 06-2010
Publisher: IEEE
Date: 12-2019
Publisher: Informa UK Limited
Date: 09-2004
Publisher: Informa UK Limited
Date: 02-10-2021
Publisher: Informa UK Limited
Date: 12-12-2020
Publisher: Informa UK Limited
Date: 08-08-2017
Publisher: IEEE
Date: 11-2008
DOI: 10.1109/ISDA.2008.63
Publisher: IEEE
Date: 12-2010
Publisher: Elsevier BV
Date: 02-2009
Publisher: Elsevier BV
Date: 06-2008
Publisher: Elsevier BV
Date: 04-2009
Publisher: Inderscience Publishers
Date: 2009
Publisher: Emerald
Date: 08-06-2018
DOI: 10.1108/IJLM-06-2017-0147
Abstract: Most of the extant literature on resilience builds on normative, conceptual or silo approaches, thereby lacking an integrative approach to cold chain logistics risks (CCLRs) and resilience. The purpose of this paper is to bridge the current research gap by developing a model, based on broad empirical evidence, of the interplay between CCLRs, resilience and firm performance (FP) in perishable product supply chains (PPSCs). A mixed method approach is used with qualitative data from interviews and quantitative data from a survey across the supply chain. The analysis is framed by contingency theory and resource-based theory. Four significant sources of CCLRs and six resources used to build resilience are identified. Then, supply chain resilience (SCR) as a moderator of the negative relationship between CCLRs and FP is corroborated. The findings will help improve managerial understandings of critical sources of risks in cold chain logistics and resources indispensable to build resilience. The scope of the research is cold chain logistics for PPSCs, which has relevance to other cold supply chains as well. While some theoretical frameworks suggest resilience being a moderator in the negative relationship between cold chain risks and a firm’s performance, this study empirically tests this relationship using the survey across the entire supply chain. A new empirically and theoretically driven definition of SCR is also developed.
Publisher: IEEE
Date: 09-2012
Publisher: Informa UK Limited
Date: 24-07-2009
Publisher: Elsevier BV
Date: 02-2009
Publisher: IEEE
Date: 08-2010
Publisher: Emerald
Date: 25-07-2019
Abstract: The purpose of this paper is to propose a holistic approach for supplier evaluation and purchasing order allocation among the ranked suppliers who meet acceptable levels of economic, environmental and social measures. A mixed research method of case study and analytical approach is adopted in this research. A fuzzy analytical hierarchical process (FAHP) is applied for ranking of suppliers. Supplier ranks are validated using judgements from multiple decision makers. Purchasing order allocation among the ranked suppliers is determined using cost minimization subject to multiple criteria of economic, environmental and social conditions. A cement manufacturing case ex le demonstrates and validates the proposed approach. The research shows that both economic and environmental considerations are significant when suppliers are evaluated for sustainable procurement within the best practice of supply management process. Ranking of suppliers, based on experts’ opinions, indicates varying degrees of importance for each criterion. Adoption of sustainable procurement criteria for evaluating supplier in a cement manufacturing organization is explained by three organizational theories including resource-based, institutional and dynamic capabilities theories. Preferred suppliers from FAHP method are confirmed by judgements from multiple decision-makers. The analysis reveals that purchasing order allocation is different when suppliers are evaluated based on their relative importance and overall ranking. Currently, in idual performance measures and decision-makers are selected from a limited set. The purchasing allocation among ranked suppliers, subjected to cost minimization, incorporates environmental objective of acceptable carbon dioxide emission and social perspective of health and safety of workers, and provides a new approach for dual supplier evaluation and purchasing allocation problem in cement industry. Adopting the proposed supplier evaluation and order allocation approach in practice needs to be guided by the operational principles and an overall methodology which is appropriate for the specific industry with sustainability objectives. This research enables decision-makers to incorporate sustainability analysis in the supplier evaluation as the basis for best practice with an industry-friendly holistic approach. Using organizational theories, the research re-enforces the importance of not only the energy consumption and environmental management systems of environmental dimension as driving forces/factors from Institutional theory perspective, but also pollution controls and prevention as purchasing capabilities from resource-based theory perspective. The proposed approach is expected to motivate decision-makers to consider sustainable perspectives in supplier evaluation and order allocation processes in a global supply chain and can become a benchmarking tool. Suppliers’ information on health and safety of their truck drivers are used in order allocation, thus emphasizing the importance of social dimension and encouraging better conditions and benchmarking for delivery drivers. This paper extends the contribution to the literature by providing guidelines for managers to set strategies, benchmarks and policies within broader sustainable supply chain practices and demonstrates the applicability of the approach using a cement-manufacturing scenario in an emerging economy.
Publisher: Springer US
Date: 2008
Publisher: Elsevier BV
Date: 07-1998
Publisher: Ubiquity Press, Ltd.
Date: 2022
DOI: 10.5334/JORS.384
Publisher: Elsevier BV
Date: 03-2012
Publisher: Elsevier BV
Date: 05-1997
Publisher: Inderscience Publishers
Date: 2006
Publisher: Elsevier BV
Date: 12-2003
Publisher: Springer International Publishing
Date: 2020
Publisher: Elsevier BV
Date: 02-2007
Start Date: 03-2003
End Date: 01-2007
Amount: $69,099.00
Funder: Australian Research Council
View Funded Activity