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A Comparison of Solution Methods for the Multi-Objective Closed Loop Supply Chains | ||
| Advances in Industrial Engineering | ||
| دوره 54، شماره 1، فروردین 2020، صفحه 75-98 اصل مقاله (986.21 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jieng.2021.321634.1758 | ||
| نویسندگان | ||
| Omid Abdolazimi1؛ Mitra Salehi Esfandarani2؛ Maryam Salehi3؛ Davood Shishebori* 4 | ||
| 1Department of Economy, Kharazmi University, Tehran, Iran. | ||
| 2Department of Civil Engineering, University of Memphis, Memphis, TN, USA | ||
| 3Department of Civil Engineering, University of Memphis, Memphis, TN, USA. | ||
| 4Department of Industrial Engineering, Yazd University, Yazd, Iran | ||
| چکیده | ||
| Increased pressure on natural resources, rising production costs, and multiple disposal challenges resulted in a growing global demand for integrated closed sustainable supply chain networks. In this paper, a bi-objective mixed integer linear programming model is developed to minimize the overall cost and maximize the use of eco-friendly materials and clean technology. The paper evaluates the exact, heuristic, and metaheuristic methods in solving the proposed model in both small and large sizes. The sensitivity analysis was conducted on LP-metric method as it outperformed the other two exact methods in solving the small size problems. The evaluation of LP-metric, modified ε-constraint, and TH as the exact methods, and Lagrange relaxation algorithm as the heuristic method in terms of solution value and CPU time revealed the inability of exact methods in solving the large size problems. The best combination of effective parameters for meta-heuristic algorithms were determined using the Taguchi method. The evaluation of MOPSO, NSGA-II, SPEA-II, and MOEA/D as the metaheuristic methods by means of Number of Pareto Solutions (NPS), Mean Ideal Distance (MID), The Spread of Non-dominance Solutions (SNS), and CPU Time revealed the performance of these methods in solving the proposed model in a large size. The implementation of VIKOR technique identified the SPEA-II as the best method among the meta-heuristic methods. This study provides a holistic view regarding the importance of selecting an appropriate solution methodology based on the problem dimension to ensure obtaining the optimum and accurate solution within the reasonable processing time. | ||
| کلیدواژهها | ||
| Closed-Loop Supply Chain (CLSC)؛ Exact methods؛ Lagrange Relaxation Algorithm؛ Heuristic and Meta-Heuristic Aalgorithms؛ VIKOR Technique | ||
| مراجع | ||
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