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Evaluating Supply Chain Risks in The Moroccan Automotive Industry: A Multi-Criteria Decision-Making Approach

Kayouh Nabil, Dkhissi Btissam

Management Systems in Production Engineering

2025

nr 1 (33)

123--135

Supply chain resilience is a critical determinant of success in the automotive industry, particularly in emerging markets like Morocco. This research employs a comprehensive approach to identify and prioritize external logistical risks threatening automotive supply chains in Morocco. Through interviews with logistics specialists of multinational automotive companies, we utilized the fuzzy Analytic Hierarchy Process (AHP) and the fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to assess the weights of evaluation factors and rank the identified risks, respectively. Our findings reveal that catastrophic events in the factory, extreme weather conditions, and workers’ strikes/labor union issues are the top three risks posing the greatest threat to supply chains in Morocco. Additionally, challenges such as agitated political situations, high maintenance costs, and infrastructure limitations demand attention to enhance supply chain resilience. This research contributes to the understanding of supply chain risk management in emerging markets and offers practical insights for industry practitioners and policymakers aiming to fortify automotive supply chains in Morocco and similar contexts.