ORCID Profile
0000-0002-5537-4777
Current Organisations
University of South Australia
,
University of South Australia - Mawson Lakes Campus
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Publisher: IEEE
Date: 12-2007
Publisher: Springer London
Date: 2012
Publisher: IEEE
Date: 12-2016
Publisher: Emerald
Date: 25-10-2011
Publisher: Springer International Publishing
Date: 28-10-2020
Publisher: Elsevier BV
Date: 12-2013
Publisher: Elsevier BV
Date: 06-2018
Publisher: Trans Tech Publications, Ltd.
Date: 03-2015
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.743.307
Abstract: This paper addresses the problem of simultaneously minimising the total costs of the final product produced by systems adopting a JIT approach. A cost which incorporates both the cost of production processes and the cost arising from the many potential risks associated with any reduction. A robust genetic approach is proposed in order to optimise the novel mathematical model published in [1]. Genetic operators adopted to improve the genetic search algorithm are introduced and discussed. Experiments are conducted to evaluate the performance of the proposed algorithm and an illustrative ex le is given. A comparison of the genetic operators used is made by means of evaluating different rates, to define the most suitable rate of crossover and mutation. The findings illustrate the effectiveness of the proposed approach in the JIT system with focus on simultaneous cost-risk reduction.
Publisher: IEEE
Date: 07-2019
Publisher: Science Alert
Date: 08-2012
Publisher: IEEE
Date: 30-03-2022
Publisher: IEEE
Date: 11-2014
Publisher: IOP Publishing
Date: 2020
DOI: 10.1088/1757-899X/715/1/012092
Abstract: One of the biggest concerns for every country is to look after their ageing population and provides them a safe life with safe medical equipment and technology. It is estimated that there will increase the ageing of the population in Japan, Western Europe, USA and India with 40%, 30%, 20% and 15%, respectively by the end of the year 2050. Hence, it will create a burden on aged care centres to hire more nursing staff members, which leads to increase the medication cost. One of the feasible solutions to solve this issue is to design the soft robots which will give care to patients at aged care centres. These robots can support patients by providing medicine to them without the assistance of the nursing staff during injury or illness. Therefore, this paper aims to investigate the need of the partial soft robotic arm which can look after patients like robots for interactive body assistance.
Publisher: Trans Tech Publications, Ltd.
Date: 12-2012
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.148-149.643
Abstract: Refinery crude preheat train (CPHT) is prone to fouling and ageing effects due to the complexity of processed crude feedstock preheated prior to distillation. This has serious implications on the thermal and hydraulic performance of the CPHT. As a result, efficient performance of crude preheat trains is compromised and as such, optimal scheduling cleaning operations are required to restore performance. In this paper, we attempt to review the subject of fouling/ageing control and mitigation in crude preheat train network by optimal scheduling cleaning approach. Three prominent optimisation techniques/models namely Mathematical Models (Mixed integer linear programming (MILP) and Mixed integer non-linear programming (MINLP) models) Artificial Intelligence (AI) Models and Heuristic Techniques used for achieving optimal cleaning are outlined.
Publisher: Emerald
Date: 08-02-2019
Abstract: The purpose of this paper is to propose an instrument to evaluate the collaboration quality of sustainable supply chains by considering collaboration behaviour and sustainability factors. The proposed model integrates Quality Function Deployment (QFD), Fuzzy Analytical Network Process (FANP) and Data Envelopment Analysis (DEA) to assess the efficiency score of each stakeholder involved. A case of a sugar company in Indonesia was analysed as the illustration of the application of the model. The integrated QFD-FANP-DEA method enables to incorporate collaboration behaviour and sustainability factors in a single assessment model. The results of the case study showed the benchmarking results associated with the performance variance of stakeholders and the number of s les. Future research could consider other DEA approaches, extend the research by simulating a different number of scenarios and evaluating the improvement/deterioration, and expand the scope of collaboration. Each stakeholder will be able to obtain the collaboration assessment results, and the improvements suggested by the model. Smallholders and farmers will be able to increase their benefits by using the existing resources. This paper provides a methodological contribution by introducing new collaboration quality assessment methods that can accommodate any variance in multi-stakeholders, involve qualitative and quantitative measurements, and benefit all stakeholders.
Publisher: Hikari, Ltd.
Date: 2014
Publisher: Science Publishing Group
Date: 2013
Publisher: EJournal Publishing
Date: 2013
Publisher: Emerald
Date: 07-12-2020
DOI: 10.1108/IJPPM-11-2019-0527
Abstract: This paper aims to evaluate the collaboration quality performance of sugar company Z and its stakeholders (farmers and distributors) by considering the sustainability aspects. This assessment shall be able to integrate qualitative and quantitative factors in the model, which is critical in sugar supply chains involving multi-stakeholders. Integration of quality function deployment (QFD), the fuzzy analytical network process (FANP) and the data envelopment analysis (DEA) is administered to assess the efficiency score of each stakeholder involved. The evaluation encompasses collaboration behaviour factors since the input of collaboration activities will result in sustainability aspects such as revenue, green house gas (GHG) emissions and social impact. The analysis has been conducted in two scenarios, those are the basic scenario by utilising original data and the extended scenario by using projection data. The result clarifies that the most influential behaviour factor in the collaboration activities is commitment (0.116), while the least important behaviour factors are power (0.008) and adaptation (0.008). Furthermore, by using the extended scenario, the overall efficiency for each benchmarking is higher compared to the condition before the improvement (basic scenario). The result of this study is only relevant to the particular sugar supply chain and involving limited sustainability variables. Therefore, in a further study, more variables such as technical and financial aspects could be explored further in the assessment process. The result of this study is available for each stakeholder and can be fundamental for the constant improvement in sustainable supply chain (SSC) practices. It shows that an improvement of one stakeholder will positively impact the entire system. Smallholders and sugarcane farmers will recognise the significance of collaboration behaviour. Thus, they can enhance their mutual benefits by using the existing resources. This paper arranges for a practical contribution by implementing advanced assessment methods in the sugar supply chain by taking into account the economic, environmental and social aspects. This comprehensive assessment process in the sugar supply chain is the novelty of this paper.
Publisher: Elsevier BV
Date: 12-2016
Publisher: Science Publications
Date: 12-2013
Publisher: EJournal Publishing
Date: 2013
Publisher: Informa UK Limited
Date: 17-10-2023
Publisher: Faculty of Engineering, University of Kragujevac
Date: 09-01-2021
Publisher: Wiley
Date: 28-01-2021
DOI: 10.1002/APP.50509
Publisher: Science Publications
Date: 04-2017
Publisher: Science Publications
Date: 12-2014
Publisher: IEEE
Date: 12-2016
Publisher: IEEE
Date: 07-2019
Publisher: MDPI AG
Date: 29-11-2019
DOI: 10.3390/APP9235195
Abstract: Electronic waste (e-waste) has become one of the fastest-growing waste, leading a globe issue. Reverse supply chain (RSC) is considered a potential way for e-waste management. Over the last two decades, RSC has received significant attention from industries, governments, experts, and researchers. A large number of studies have been published in the field of e-waste RSC. Most of the existing review papers concentrated on the general RSC models for all types of returned products. However, the review papers focusing on specific products, such as e-waste, are quite limited. To fill this gap published papers in the area of RSC for a specific product, e-waste, from 1999 to 2019 have been selected for review and analysis in this study. E-waste RSC studies have been ided into four main groups, namely, factors of implementation, performance evaluation and decision making, foresting product returns, and network design. Finally, some potential directions for e-waste RSC models have been suggested for future research.
Publisher: Elsevier BV
Date: 2015
Publisher: Inderscience Publishers
Date: 2007
Publisher: IEEE
Date: 12-2007
Publisher: MDPI AG
Date: 23-02-2021
DOI: 10.3390/APP11041946
Abstract: Minimizing the impact of electronic waste (e-waste) on the environment through designing an effective reverse supply chain (RSC) is attracting the attention of both industry and academia. To obtain this goal, this study strives to develop an e-waste RSC model where the input parameters are fuzzy and risk factors are considered. The problem is then solved through crisp transformation and decision-makers are given the right to choose solutions based on their satisfaction. The result shows that the proposed model provides a practical and satisfactory solution to compromise between the level of satisfaction of constraints and the objective value. This solution includes strategic and operational decisions such as the optimal locations of facilities (i.e., disassembly, repairing, recycling facilities) and the flow quantities in the RSC.
Publisher: IEEE
Date: 09-2012
Publisher: IEEE
Date: 07-2019
Publisher: EJournal Publishing
Date: 2013
Publisher: IEEE
Date: 04-2022
Publisher: IOP Publishing
Date: 19-05-2020
Publisher: Inderscience Publishers
Date: 2010
Publisher: Science Publishing Group
Date: 2013
Publisher: Informa UK Limited
Date: 2008
Publisher: ACTAPRESS
Date: 2012
Publisher: Elsevier BV
Date: 10-2010
Publisher: Hikari, Ltd.
Date: 2014
Publisher: EDP Sciences
Date: 2016
Publisher: Elsevier BV
Date: 12-2019
Publisher: EJournal Publishing
Date: 2013
Location: Australia
No related grants have been discovered for Yousef Amer.