Kargari Esfand Abad, Hesam, Vahdani, Behnam, Sharifi, Mani, Etebari, Farhad. (1398). A Multi-Objective Optimization Model for Split Pollution Routing Problem with Controlled Indoor Activities in Cross Docking under Uncertainty. , 4(1), 99-126. doi: 10.22070/jqepo.2019.4113.1096
Hesam Kargari Esfand Abad; Behnam Vahdani; Mani Sharifi; Farhad Etebari. "A Multi-Objective Optimization Model for Split Pollution Routing Problem with Controlled Indoor Activities in Cross Docking under Uncertainty". , 4, 1, 1398, 99-126. doi: 10.22070/jqepo.2019.4113.1096
Kargari Esfand Abad, Hesam, Vahdani, Behnam, Sharifi, Mani, Etebari, Farhad. (1398). 'A Multi-Objective Optimization Model for Split Pollution Routing Problem with Controlled Indoor Activities in Cross Docking under Uncertainty', , 4(1), pp. 99-126. doi: 10.22070/jqepo.2019.4113.1096
Kargari Esfand Abad, Hesam, Vahdani, Behnam, Sharifi, Mani, Etebari, Farhad. A Multi-Objective Optimization Model for Split Pollution Routing Problem with Controlled Indoor Activities in Cross Docking under Uncertainty. , 1398; 4(1): 99-126. doi: 10.22070/jqepo.2019.4113.1096

A Multi-Objective Optimization Model for Split Pollution Routing Problem with Controlled Indoor Activities in Cross Docking under Uncertainty

Journal of Quality Engineering and Production Optimization
مقاله 8، دوره 4، شماره 1، شهریور 2019، صفحه 99-126    اصل مقاله (1.41 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22070/jqepo.2019.4113.1096
نویسندگان
Hesam Kargari Esfand Abad1؛ Behnam Vahdani* 2؛ Mani Sharifi1؛ Farhad Etebari1
1Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
21Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
چکیده
Cross docking is a logistics strategy that strives to reduce inventory holding costs, shipping costs, and delays in delivering the products. In this research, an optimization model is presented for split loading and unloading products by suppliers and customers, vehicle routing with fuzzy possibilistic time window constraints among them, assignment of vehicles to cross dock, consolidation and integration of products in cross dock, and allocation of sorted products to outbound vehicles. The mathematical model provided in this study has three objective functions. The first and second objectives minimize total cost and fuel consumption, and the third one maximizes satisfaction degrees of suppliers and customers. With the intention of solving the model, two multi-objective meta-heuristic algorithms, namely Multi-Objective Grey Wolf Optimizer (MOGWO) and Multi-Objective Imperialist Competitive Algorithm (MOICA) were utilized. With the intention of illustrating the accuracy of the suggested model and solution approaches, a broad range of numerical instances were considered and the results were investigated.
کلیدواژه‌ها
Consolidation؛ Cross docking؛ Integration؛ Satisfaction؛ Split pickup and delivery
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