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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.

A decision support model for mitigating supply chain risks based on a modified fmea, multi-objective optimization and multi-criteria decision-making approach

Kayouh Nabil, Dkhissi Btissam

Management Systems in Production Engineering

2024

nr 1 (32)

87--102

Recent years have seen a huge development in the subject of supply chain risk management. In this increasingly uncertain world, the use of practical and effective tools for decision making and risk mitigation has become more necessary than ever. In this research, mitigation strategies for a tier one multinational company operating in the automotive industry and providing an assembly operation to final customer Renault Tanger and Renault SOMACA were prioritized according to their effectiveness, as well as their implementation costs. Based on research in the literature and the opinions of experts in the field. 44 risks and 55 mitigation strategies were identified. FMEA (Failure Modes and Effects Analysis) method was used based on the latest AIAG 2019 edition to filter and identify the risks to be prioritized, we used then a multi-objective optimization approach to identify the mitigation strate-gies that constitute the Pareto front for each of the risks and finally used the EDAS method for the final ranking of the strategies. Our case revealed that strategies like ensuring elaborating a contingency planning and defining the responsibilities, imposing contractual obligations on subcontractors, applying a flexible supply contract were found to be relevant risk mitigation strategies for the company. Managers interested in mitigating risk can deploy this model to prioritize risk mitigation strategies.