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Badri, Seyed Amin, Yaghoobi, Mehdi. (1404). An Integrated Multi-Objective MILP Model for Rebar Delivery Scheduling and Vehicle Routing: A Case Study. فیزیولوژی و بیوتکنولوژی آبزیان, (), -. doi: 10.22124/cse.2025.31203.1113
Seyed Amin Badri; Mehdi Yaghoobi. "An Integrated Multi-Objective MILP Model for Rebar Delivery Scheduling and Vehicle Routing: A Case Study". فیزیولوژی و بیوتکنولوژی آبزیان, , , 1404, -. doi: 10.22124/cse.2025.31203.1113
Badri, Seyed Amin, Yaghoobi, Mehdi. (1404). 'An Integrated Multi-Objective MILP Model for Rebar Delivery Scheduling and Vehicle Routing: A Case Study', فیزیولوژی و بیوتکنولوژی آبزیان, (), pp. -. doi: 10.22124/cse.2025.31203.1113
Badri, Seyed Amin, Yaghoobi, Mehdi. An Integrated Multi-Objective MILP Model for Rebar Delivery Scheduling and Vehicle Routing: A Case Study. فیزیولوژی و بیوتکنولوژی آبزیان, 1404; (): -. doi: 10.22124/cse.2025.31203.1113

An Integrated Multi-Objective MILP Model for Rebar Delivery Scheduling and Vehicle Routing: A Case Study

Computational Sciences and Engineering
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 02 مرداد 1404
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22124/cse.2025.31203.1113
نویسندگان
Seyed Amin Badri* 1؛ Mehdi Yaghoobi2
1University of Guilan
2Amirkabir Khazar Steel Company, Lakan Industrial Town, Rasht, Iran
چکیده
This study addresses the critical challenge of optimizing rebar delivery in heavy logistics industries by proposing an integrated multi-objective mixed-integer linear programming (MILP) model for simultaneous delivery scheduling and vehicle routing. The model aims to minimize three conflicting objectives: the overall makespan of deliveries, the weighted customer dissatisfaction from delivery time windows based on customer priority, and the total transportation costs. A fuzzy multi-objective optimization approach, based on the principles of Bellman and Zadeh and Zimmermann’s method, is employed to transform this complex problem into a single-objective maximization problem of an overall satisfaction level. The efficacy and practical applicability of the proposed model are validated through a real-world case study from Amir Kabir Khazar Steel Company in Gilan province, Iran. The case study involves 51 customer orders to be delivered over a three-day planning horizon, incorporating realistic constraints such as specific time windows and customer priority levels. Computational results, obtained using GAMS with the CPLEX solver, demonstrate that the model successfully achieves a high overall satisfaction level of λ =0.841. The findings offer significant managerial insights for balancing operational efficiency, cost reduction, and customer satisfaction in rebar supply chains.
کلیدواژه‌ها
Rebar Supply Chain؛ Delivery Scheduling؛ Vehicle Routing Problem (VRP)؛ Multi-Objective Optimization؛ Mixed-Integer Linear Programming (MILP)؛ Fuzzy Programming
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تعداد مشاهده مقاله: 9


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