Designing a sustainable agile retail supply chain using multi-objective optimization methods (Case Study: SAIPA Company)

Document Type : Article

Authors

1 Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

2 - Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran. - Department of Industrial Engineering, Parand Branch, Islamic Azad University, Parand, Iran

3 - Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran - Departments of Industrial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran

Abstract

This paper aimed to design a sustainable agile retail supply chain using multi-objective optimization methods. To this end, a mathematical model was presented for the sustainable agile supply chain with five objectives, including "minimizing costs", "minimizing unanswered demand", "maximizing the quality of goods purchased from suppliers," "maximizing social responsibility or social benefits", and "minimizing environmental impacts". The NSGA-II, PESA and SPEA-II algorithms were used to solve the proposed model, which were run in MATLAB software. After collecting data from the SAIPA Company’s supply chain, the model was solved using the three algorithms. The results indicate that the SPEA-II algorithm produces more high quality responses, compared to the other two algorithms. Furthermore, the SPEA-II algorithm was found to be among the Pareto Front responses. A decrease of environmental impacts had no effect on the problem responses due to the lack of a specific structure in the current system.

Keywords

Main Subjects

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Scientia Iranica
Volume 28, Issue 5
Transactions on Industrial Engineering (E)
September and October 2021
Pages 2933-2947

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History

  • Receive Date: 11 April 2019
  • Revise Date: 04 September 2019
  • Accept Date: 23 September 2019

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