System Engineering and Productivity

System Engineering and Productivity

Presenting a Dual-objective Location-inventory Model for Designing an Integrated Forward/reverse Logistics Network

Document Type : Research Paper

Authors
Sepideh Malekpour Kolbadinejad 1
Jafar Bagherinejad 2
1 Ph.D. Student, Department of Industrial Engineering, Faculty of Industrial Engineering, Alzahra University, Tehran, Iran
2 Corresponding author: Professor, Department of Industrial Engineering, Faculty of Industrial Engineering, Alzahra University, Tehran, Iran
10.22034/sep.2023.706141
Abstract
In this paper, a novel mixed integer nonlinear programming model for the forward/reverse inventory-location problem with limited capacity is presented, which optimizes strategic decisions along with tactical decisions. The proposed model is dual-objective and minimizes total costs as the first objective function and shortage as the second objective function. By solving a numerical example, the superiority of the integrated model over the non-integrated model is proven, and sensitivity analysis is also performed to validate the proposed model. Considering the NP-hard nature of the problem and the existence of two conflicting objective functions, two meta-heuristic algorithms, namely the genetic algorithm with non-dominated sorting of type II and the robust Pareto evolutionary algorithm of type II, are used to solve problems in large dimensions. Analysis of various evaluation criteria introduced shows that the robust Pareto evolutionary algorithm of type II performs better than the genetic algorithm with non-dominated sorting of type II for solving problems in large dimensions.

Copyright ©, Sepideh Malekpour Kolbadinejad, Jafar Bagherinejad

 

License

This article is released under the Creative Commons Attribution (CC BY 4.0) license. Anyone is free to copy, share, translate, and adapt this article for any purpose, whether commercial or non-commercial, as long as proper citation is given to the authors and original publication.

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System Engineering and Productivity
Volume 3, Issue 1 - Serial Number 6
Serial No. 6, Spring Quarterly
Spring 2023
Pages 1-40

  • Receive Date 13 April 2022
  • Revise Date 31 December 2022
  • Accept Date 17 April 2023
  • First Publish Date 22 May 2023
  • Publish Date 22 May 2023