A Model to Measure Supply Chain Complexity and its Role in Competitiveness Using a System Dynamics Technique in the Automotive Industry

Subject Areas : Industrial Management

Saeid Zanganeh ^{1 *} , Belgheiss Baversad ² , Majid Nili Ahmad Abadi ³

1 -
2 - .Industrial management, faculty of management, Islamic Azad University of Masjed Soleiman, Masjed Soleiman, Iran
3 - Industrial management, faculty of management, University of Qom, Qom, Iran

Received: 2025-01-28 Accepted : 2025-03-21 Published : 2025-06-09

Keywords: complexity, capability, supply chain performance, competitive advantage, system dynamics,

Abstract :

The present study was aimed to present a model to measure supply chain complexity and its role in competitiveness using a system dynamics technique in the automotive industry. This research is applied and descriptive. The methodology of this study is correlation survey using historical information and ex post facto. The research is based on qualitative and quantitative techniques. The statistical population included the qualitative section of experts in the university and automotive industry in Khuzestan province, 15 people were selected using a purposeful method, and in the quantitative section, official statistics and time series of the variables in Iran Khodro Company were applied. The analysis method in this study is the Delphi technique in the qualitative section and the system dynamics approach in the quantitative section. By using these factors, efficient supply chain management has turned into a key factor for success and maintaining competitive advantage in this industry. In the quantitative section after analyzing the causal and flow diagrams, two scenarios were determined. 1-(The first scenario is the growing increase in macroeconomic variables such as exchange rates, inflation rates, and gold and housing prices. 2-The second scenario is market inefficiency due to monopoly, public distrust due to low quality products, and the replacement of imported cars. The impact of the two scenarios on the research variables was examined using a simulated model, and the results demonstrated that both scenarios are relatively similar to each other and have the same effects on long-term trending on the variables of research, but the first scenario, which is economic factors, is related to high fluctuations.

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