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The depletion of natural resources and the degradation of the ecosystem have led many countries to adopt closed-loop supply activities in both their industrial and service sectors. With the widespread use of Internet technology, these aspects motivate the incorporation of e-commerce with the classical closed-loop supply chain. This study suggests a novel mixed-integer linear programming (MILP) model that addresses the integration of e-commerce with a multi-echelon closed-loop supply chain with a multi-period planning time horizon by considering dual channels in manufacturing, and recovery facilities. To validate the model, we obtain optimal decision variables and examine the robustness and applicability of the model, and comprehensive computational experiments are performed. Moreover, sensitivity analysis is carried out to illustrate the efficacy of e-commerce integration by considering the two channels in the closed-loop supply chain. Accordingly, the total cost of the dual-channel CLSC decreases with an increase in customer demand via online retailers, the returned end of life (EOL) products, recycling ratio, and recovery ratio. Some useful managerial implications are provided based on the conducted analysis.
Essam Kaoud; Mohammad Abdel-Aal; Tatsuhiko Sakaguchi; Naoki Uchiyama. Design and Optimization of the Dual-Channel Closed Loop Supply Chain with E-Commerce. Sustainability 2020, 12, 10117 .
AMA StyleEssam Kaoud, Mohammad Abdel-Aal, Tatsuhiko Sakaguchi, Naoki Uchiyama. Design and Optimization of the Dual-Channel Closed Loop Supply Chain with E-Commerce. Sustainability. 2020; 12 (23):10117.
Chicago/Turabian StyleEssam Kaoud; Mohammad Abdel-Aal; Tatsuhiko Sakaguchi; Naoki Uchiyama. 2020. "Design and Optimization of the Dual-Channel Closed Loop Supply Chain with E-Commerce." Sustainability 12, no. 23: 10117.
Automated guided vehicles have been widely used in flexible manufacturing systems especially in a job shop and flow shop. Recently, they are included in other fields such as container terminals. This paper demonstrates a literature review of the last three decades about the scheduling problems of the automated guided vehicles in three main classes, namely job shops, flow shops, and container terminals. We classify the literature according to the scheduling problems and the solution approaches. The results of the survey are that the solution methods mainly focus on using simulation as a key performance analysis tool, whereas, the big computation times of the developed mathematical models make heuristics approaches are dominant for solving such models. After that, we discuss research gaps to the purpose of finding new research directions.
Essam Kaoud; Mahmoud A. El-Sharief; M.G. El-Sebaie. Scheduling problems of automated guided vehicles in job shop, flow shop, and container terminals. 2017 4th International Conference on Industrial Engineering and Applications (ICIEA) 2017, 60 -65.
AMA StyleEssam Kaoud, Mahmoud A. El-Sharief, M.G. El-Sebaie. Scheduling problems of automated guided vehicles in job shop, flow shop, and container terminals. 2017 4th International Conference on Industrial Engineering and Applications (ICIEA). 2017; ():60-65.
Chicago/Turabian StyleEssam Kaoud; Mahmoud A. El-Sharief; M.G. El-Sebaie. 2017. "Scheduling problems of automated guided vehicles in job shop, flow shop, and container terminals." 2017 4th International Conference on Industrial Engineering and Applications (ICIEA) , no. : 60-65.