Supply Chain Networks Optimization under Uncertain Environment with Dhouib-Matrix-TP1 heuristic

  • Souhail Dhouib University of Sfax, TUNISIA https://orcid.org/0000-0003-2487-0062
  • Manel Kammoun University of Sfax, TUNISIA
  • Saima Dhouib University of Sfax, TUNISIA
  • Taicir Loukil University of Sfax, TUNISIA
DOI: https://doi.org/10.19139/soic-2310-5070-2282
Keywords: Supply chain performance, Fuzzy modelling, Transportation Decision, Artificial Intelligence, Optimization, Heuristic, Operations Research, Dhouib-Matrix

Abstract

The transportation problem (TP) is a critical component of the supply chain network that involves determining the most efficient way to move goods from one location to another. TP is a generic name given to a whole class of problems in which diverse types of transportation modes are used to supply a product from sources to destinations. The TP is a common challenge in supply chain networks, where it aims to minimize the total cost of transportation to satisfy both supply and demand constraints. In this paper, the constructive heuristic Dhouib-Matrix-TP1 (DM-TP1) is adapted in order to solve the balanced and unbalanced TP with heptagonal fuzzy numbers. DM-TP1 needs a reduced number of iterations in order to generate a good initial basic feasible solution and uses a novel metric based on (Average-Min). Several numerical examples (balanced and unbalanced) are used to prove the performance of DM-TP1.
Published
2025-01-31
How to Cite
Dhouib, S., Kammoun, M., Dhouib, S., & Loukil , T. (2025). Supply Chain Networks Optimization under Uncertain Environment with Dhouib-Matrix-TP1 heuristic. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-2282
Issue
Online First
Section
Research Articles
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