10.57647/jm2c.2026.160105

Presenting the Contract Selection Model of SupplyChain Management with Uncertainty Approachand Multi-criteria Decision Making Methods inGas Company of Khuzestan Province

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  • Esmaeil Kamaee1,
  • Mohammad Jalali Varnamkhasti*2,
  • Mojtaba Aghajani3,
  1. Department of Industrial Management, Isf.C., Islamic Azad University, Isfahan, Iran
  2. Department of Mathematics, Isf.C., Islamic Azad University, Isfahan, Iran
  3. Department of Management, Mo.C, Islamic Azad University, Mobarakeh, Isfahan, Iran

Received: 21-08-2025

Revised: 24-09-2025

Accepted: 01-10-2025

Published in Issue 31-03-2026

Published Online: 02-10-2025

Copyright (c) 2025 Esmaeil Kamaee, Mohammad Jalali Varnamkhasti, Mojtaba Aghajani (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Kamaee, E., Jalali Varnamkhasti, M., & Aghajani, M. (2026). Presenting the Contract Selection Model of SupplyChain Management with Uncertainty Approachand Multi-criteria Decision Making Methods inGas Company of Khuzestan Province. International Journal of Mathematical Modelling & Computations, 16(1). https://doi.org/10.57647/jm2c.2026.160105
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Abstract

Selecting the appropriate supply chain contract under conditions of uncertainty is a critical and complex challenge, particularly within volatile sectors like the oil and gas industry. This research aims to develop and present a comprehensive, structured model for supply chain management contract selection tailored to the specific needs of the Khuzestan Province Gas Company. The study utilizes a mixed-methods approach, beginning with a qualitative meta-synthesis of existing literature to identify and screen the primary criteria and sub-criteria for contract selection. Subsequently, a hybrid Multi-Criteria Decision-Making (MCDM) model is implemented, using the Decision Making Trial and Evaluation Laboratory (DEMATEL) technique to analyze the causal relationships among criteria, followed by the Analytic Network Process (ANP) to determine the final weights and rankings based on data collected from industry experts. The findings from the DEMATEL analysis reveal a distinct cause-and-effect structure, identifying "Environmental and Social," "Economic and Financial," and "Quality and Innovation" as the foundational causal factors that influence the effect criteria of "Management and Logistics," "Supplier Performance," and "Communication and Collaboration". The final ranking results from the ANP method surprisingly indicate that "Management and Logistics" (weight: 0.529) and "Communication and Collaboration" (weight: 0.406) are the most critical criteria, significantly outweighing "Economic and Financial Factors". This suggests a strategic prioritization of operational stability and partnership quality over purely cost-based considerations. Ultimately, this study provides a practical and defensible framework that transforms a complex decision into a structured process for managers. It proposes a two-stage evaluation system as an actionable solution, where suppliers are first screened by causal criteria and then selected based on high-priority effect criteria.

Keywords

  • Supply Chain Management,
  • Contract Selection,
  • Uncertainty Conditions,
  • Supplier Selection,
  • Meta-Synthesis Method
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