چکیده مقاله
This study develops a deterministic multi period mixed integer programming model for the strategic design and operational planning of multi echelon Closed Loop Supply Chain CLSC networks The formulation integrates forward and reverse logistics flows within a unified optimization framework, encompassing manufacturing facilities, potential distribution centers, customer demand zones, prospective collection centers, and designated disposal facilities The model captures critical network design decisions, including capacity level selection for potential facilities, production and remanufacturing quantities, inter echelon shipment volumes, inventory dynamics, and end of life product disposition, while enforcing constraints on capacities, flow conservation, and recovery/scrap ratios The objective function minimizes the aggregate cost of production, transportation, processing, remanufacturing, disposal, and facility establishment A synthetic dataset is employed to illustrate the framework, and the results demonstrate that the proposed model yields efficient network configurations and balanced flow allocations Overall, the formulation offers a rigorous and adaptable foundation for cost effective closed loop supply chain design
کلیدواژهها
نویسندگان
Sadegh Habashi
Department of Industrial Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Hossein Neghabi
Department of Industrial Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Reza Rahmati
Department of Industrial Engineering, Ma C , Islamic Azad University, Mashhad, Iran
شیوه ارجاع
Habashi، Sadegh و Neghabi، Hossein و Rahmati، Reza،1404،Optimization of Multi-Echelon Closed-Loop Supply Chain Networks Using a Deterministic Approach،یازدهمین کنفرانس بین المللی مهندسی صنایع و سیستم ها،مشهد
ارائهشده در
مجموعه مقالات یازدهمین کنفرانس بین المللی مهندسی صنایع و سیستم ها2 مهر 1404 · مشهد