Modeling the Key Factors Influencing Supply Chain Performance in the Distributor Sector

Articles in Press

Document Type : Research/ Original/ Regular Article

Authors

1 Assistant Professor, Department of Industrial Engineering, Faculty of Engineering, Raja University, Qazvin, Iran

2 Department of Industrial Engineering, Faculty of Engineering, Raja University, Qazvin, Iran

Abstract

The supply chain within the distribution sector is confronted with a range of challenges, including demand volatility, supply disruptions, and a lack of information coordination. This study proposes a hybrid modeling framework aimed at identifying and analyzing the key factors influencing supply chain performance in the distribution domain. The model utilizes system dynamics to examine the behavior of these factors over time. To begin, thirteen influential factors—encompassing both traditional and innovative dimensions such as resilience, profitability, responsiveness, and information sharing—were identified through a systematic literature review and expert-driven questionnaires. The relative importance of these factors was determined using two multi-criteria decision-making techniques: the CRITIC method and Simple Additive Weighting (SAW). A conceptual model was developed using Vensim software and subsequently simulated in MATLAB, incorporating real-world data from the detergent manufacturing industry. Optimization was performed using the Non-dominated Sorting Genetic Algorithm II (NSGA-II), a multi-objective evolutionary algorithm. The results indicate that resilience, with a final weight of 0.24, exerts the most substantial influence on supply chain performance. Furthermore, multiple regression analysis confirmed the statistically significant role of resilience in enhancing system stability and mitigating fluctuations. The proposed model was validated across various scenarios and demonstrates strong potential for generalization to other industries exhibiting similar supply chain configurations.

Keywords

Main Subjects

Supply Chain Management

Articles in Press, Accepted Manuscript
Available Online from 02 September 2025

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History

  • Receive Date: 26 May 2025
  • Revise Date: 31 August 2025
  • Accept Date: 02 September 2025
  • Publish Date: 02 September 2025

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