Supply Chain Management

Supply Chain Management

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

Document Type : Research/ Original/ Regular Article

Authors
Seyed Reza Moosavi Tabatabaei 1
Shahab Bavili 2
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 designed to identify and analyze the key factors that influence 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
Supply Chain
System Dynamics Modeling
Multi-criteria Analysis
Resilience
NSGA-II
Subjects

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Supply Chain Management
Volume 27, Issue 87 - Serial Number 87
Serial number 87. Summer 2025
Summer 2025
Pages 83-101

  • Receive Date 26 May 2025
  • Revise Date 02 July 2025
  • Accept Date 02 September 2025
  • Publish Date 21 September 2025