Journal of Industrial and Systems Engineering

Journal of Industrial and Systems Engineering

A Fuzzy Multi-Objective Optimization Framework for Building Resilient and Smart Supply Chains under Uncertainty

Document Type : Research Paper

Authors
1 Master of Industrial Engineering, Sharif University of Technology, Tehran, Iran
2 Master of Finance, Aston University, Birmingham, UK
Abstract
This research presents a novel framework for fuzzy multi-objective optimization in designing resilient and intelligent supply chains under uncertainty. In this framework, uncertain data are modeled using fuzzy logic and the relationships between economic, operational, and technological objectives are analyzed simultaneously. Simulated data based on the characteristics of the fast-moving consumer goods (FMCG) industry showed that the proposed model is able to create a reasonable balance between cost, resilience, and intelligence. The results showed that compared to deterministic models, the proposed fuzzy framework increased network resilience by about 18% and decision intelligence by 21%, while the total cost growth was less than 3%. Sensitivity analysis also confirmed the stability of the model against parameter changes, and the results of disturbance scenarios showed that the designed network has fast recovery capability and high operational stability.
Keywords
Subjects

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Volume 17, Issue 2 - Serial Number 2
Spring 2025
Pages 344-361

  • Receive Date 09 February 2024
  • Revise Date 02 March 2024
  • Accept Date 11 May 2024