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Moradi, H., babaei meybodi, H. (2024). Designing a Structural Model for Key Factors of Supply Chain Flexibility in the Automotive Spare Parts Industry. Electronic and Cyber Defense, 26(83), 65-78.
Hoda Moradi; hamid babaei meybodi. "Designing a Structural Model for Key Factors of Supply Chain Flexibility in the Automotive Spare Parts Industry". Electronic and Cyber Defense, 26, 83, 2024, 65-78.
Moradi, H., babaei meybodi, H. (2024). 'Designing a Structural Model for Key Factors of Supply Chain Flexibility in the Automotive Spare Parts Industry', Electronic and Cyber Defense, 26(83), pp. 65-78.
Moradi, H., babaei meybodi, H. Designing a Structural Model for Key Factors of Supply Chain Flexibility in the Automotive Spare Parts Industry. Electronic and Cyber Defense, 2024; 26(83): 65-78.

Designing a Structural Model for Key Factors of Supply Chain Flexibility in the Automotive Spare Parts Industry

مدیریت زنجیره تأمین
Volume 26, Issue 83, September 2024, Pages 65-78    PDF (1.55 M)
Document Type: Scientific Paper
Authors
Hoda Moradi1; hamid babaei meybodi* 2
1Department of Management, Yazd Branch, Islamic Azad University, Yazd, Iran,
2Department of Management, Meybod University, Meybod, Iran
Receive Date: 05 April 2024,  Revise Date: 29 August 2024,  Accept Date: 01 September 2024 
Abstract
In response to the ever-evolving business environment, industries have adopted flexible systems throughout their supply chains as a critical strategy for survival and growth. This study aims to identify the key factors of supply chain flexibility, review the interpretive structural modeling (ISM) method, and propose a new leveling rule. The proposed rule considers not only the influence and dependence of elements but also the weight of factors, enhancing the accuracy of results and allowing for more precise interpretations. Through a literature review and content analysis, twelve supply chain flexibility factors were identified. The Delphi method, conducted over three rounds, was used to localize these factors in the automotive spare parts   manufacturing industry. Data were collected via a questionnaire, with the statistical population consisting of specialists, managers, and experts in the studied system. The ISM method was employed to design the structural model, where key factors were initially leveled using the existing rule, followed by the proposed rule. Ultimately, the key factors were categorized into four groups using the dependence-influence diagram. The results revealed that demand management and product flexibility were the most influential factors in the automotive spare parts supply chain. It is recommended that industry managers focus on these factors. Additionally, while both leveling rules produced identical results, the proposed rule frees decision-makers from many of the time-consuming, error-prone tasks involved in structuring complex systems.
 
Keywords
Flexibility; Supply Chain; Leveling; Interpretive Structural Modeling
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