Industrial Innovations

Industrial Innovations

Presenting a Multi-Objective Mathematical Model to Design a Green Reverse Logistics System Considering Energy Recovery

Document Type : Original Article

Authors
Mohammad Shabangiz
Iman Heydari
Seyed Amirhossei Hashemi Foroushani
Alireza Goli
Department of Industrial Engineering and Future Studies, Faculty of Engineering, University of Isfahan, Isfahan, Iran.
https://doi.org/10.61186/jii.1.4.387
Abstract
The paper presents a new mathematical model for the design of a general reverse logistics network. This model minimizes system operating costs and environmental impacts through multi-objective mixed integer programming. Due to the importance of reverse logistics in waste management, the goals of this mathematical model include minimizing the costs of the logistics system and reducing the emission of environmental pollutants. In the reverse logistics system, the processes of collection, restoration, recycling, energy recovery and disposal of used products operate as an independent network. This system examines the physical flow from consumers to primary suppliers and includes the process of designing, implementing, controlling and maintaining the flow of raw materials, parts, finished products, inventories and funds. In order to solve this mathematical model, the normalized weighted sum method has been applied. The results of solving the mathematical model show that by changing the weight of the objectives, the first objective function has a decreasing trend and the second objective function has an increasing trend, which confirms the conflict between the objectives of the mathematical model. The use of this model in organizations leads to better use of resources and providing better services to customers. It also creates a better public image for companies by emphasizing environmental responsibilities.
Keywords
Reverse Logistics
Supply Chain Network Design
Multi-objective Planning
Environmental Responsibility
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Industrial Innovations
Volume 1, Issue 4 - Serial Number 4
Autumn 2023
Pages 387-408

  • Receive Date 23 January 2024
  • Revise Date 14 February 2024
  • Accept Date 20 February 2024