Fuzzy Mathematical Programming Approach for the Design of Integrated Production and Distribution Systems in Supply Chain Network

Authors

  • Reza Rasinojehdehi * Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran. https://orcid.org/0000-0003-4694-0930
  • Payam Chiniforooshan Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

https://doi.org/10.22105/raise.v2i2.50

Abstract

Supply Chain Management (SCM) is a mathematical approach to control the supply chain in an efficient way. Traditional SCM models require crisp data; however, in real-world problems the data available may often be imprecise like fuzzy numbers. In order to enter the fuzzy numbers into SCM models many attempts has been made by the researchers but in the existing approaches many information on uncertainties are lost. This paper represents a method which keeps the uncertainty of the data through the computation. In the presented method, keeping the uncertainty through the computation yields a multi objective nonlinear programming.

Keywords:

Supply chain management, Fuzzy numbers, Multi objective nonlinear programming

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Published

2025-05-21

Issue

Vol. 2 No. 2 (2025): Research Annals of Industrial and Systems Engineering

Section

Articles

How to Cite

Fuzzy Mathematical Programming Approach for the Design of Integrated Production and Distribution Systems in Supply Chain Network. (2025). Research Annals of Industrial and Systems Engineering, 2(2), 142-153. https://doi.org/10.22105/raise.v2i2.50

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