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A Multiobjective Optimization Approach for Integrated Production Planning, Location-Allocation, and Routing in Three-Echelon Supply Chains | ||
| Advances in Industrial Engineering | ||
| دوره 58، شماره 2، اسفند 2024، صفحه 307-324 اصل مقاله (488.52 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/aie.2024.376153.1897 | ||
| نویسندگان | ||
| Bahareh Zolfaghari Razaji1؛ Mohsen Varmazyar* 2؛ Ali Fallahi3 | ||
| 1B.Sc., Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran. | ||
| 2Assistant Professor, Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran. | ||
| 3M.Sc., Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran. | ||
| چکیده | ||
| The focus of many researchers in the operations research field has been on supply chain design problems during past decades. Previous works have widely investigated production-inventory planning, vehicle routing, and location-allocation problems. This paper aims to consider these problems simultaneously and present a new integrated production planning-location-routing problem for a three-echelon supply chain, considering several real-world assumptions. The studied supply chain includes multiple production centers, distribution centers, and customers. The distribution centers use a set of non-homogeneous vehicles to deliver the products to the customers. Several features, such as regular and overtime production, production reliability, time-window constraints, and capacity constraints, are incorporated to provide a more realistic problem. The bi-objective model aims to determine the optimal location, allocation, production, and routing decisions to optimize the total cost and servicing time objective functions. Concerning problem's complexity, the non-dominated sorting genetic algorithm-II (NSGA-II) is designed and implemented as a solution approach. The results reveal that this algorithm can solve the model in an acceptable time interval. In addition, the results demonstrate that the NSGA-II algorithm is reliable in finding solutions, and there is no significant difference between the average solution and the best solution of the algorithm in several runs. | ||
| کلیدواژهها | ||
| Supply Chain Planning؛ Production Planning؛ Vehicle Routing Problem؛ Location-Allocation Analysis؛ Multiobjective Optimization | ||
| مراجع | ||
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