كنفرانس بين المللی مهندسی صنايع و سيستم ها

صفحه اصلی / یازدهمین كنفرانس بين المللی مهندسی صنايع و سيستم ها

Optimization of Multi-Echelon Closed-Loop Supply Chain Networks Using a Deterministic Approach

نویسندگان :

Sadegh Habashi¹ Hossein Neghabi² Reza Rahmati³

1- Department of Industrial Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Iran 2- Department of Industrial Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Iran 3- Islamic Azad university of Mashhad

کلمات کلیدی :

Closed-loop supply chain،Reverse logistics،Capacitated network design،Deterministic optimization،Multi-period optimization،Network design

چکیده :

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.