The automotive industry is highly competitive, requiring robust supply chains to secure a strategic advantage. This study evaluates supply chain performance in the automotive sector using the Lean, Agile, Resilient, and Green (LARG) paradigms. We developed a comprehensive system dynamics model to analyze these paradigms, incorporating key elements and their interactions within the supply chain. The model simulated eight scenarios to assess the impact of different strategies on supply chain performance. Our findings highlight that enhancing supply chain efficiency leads to the most significant increase in income, underscoring the importance of optimizing processes and reducing costs. Improving process flexibility emerged as the second most impactful strategy, enabling quicker adaptation to market changes and customer demands. Optimizing the flow of value and added value created also proved crucial, streamlining processes and reducing waste to enhance profitability. This research provides actionable insights for automotive industry stakeholders. By focusing on efficiency, flexibility, and value flow, companies can achieve substantial improvements in supply chain performance. The study emphasizes the practical application of the LARG paradigms, offering a holistic framework for supply chain management in the automotive sector. In summary, our system dynamics model demonstrates the critical role of LARG elements in driving supply chain success. This approach enables automotive companies to strategically enhance their supply chains, ensuring competitiveness in a dynamic market environment. The results offer valuable guidance for implementing effective supply chain strategies, paving the way for sustained profitability and growth.
Saberifard, N., Homayounfar, M., Fadaei, M., & Taleghani, M. (2024). A model of system dynamics to evaluate the LARG supply chain elements in the automotive industry. Journal of Systems Thinking in Practice, (), -. doi: 10.22067/jstinp.2024.87456.1098
MLA
Nima Saberifard; Mahdi Homayounfar; Mahdi Fadaei; Mohammad Taleghani. "A model of system dynamics to evaluate the LARG supply chain elements in the automotive industry", Journal of Systems Thinking in Practice, , , 2024, -. doi: 10.22067/jstinp.2024.87456.1098
HARVARD
Saberifard, N., Homayounfar, M., Fadaei, M., Taleghani, M. (2024). 'A model of system dynamics to evaluate the LARG supply chain elements in the automotive industry', Journal of Systems Thinking in Practice, (), pp. -. doi: 10.22067/jstinp.2024.87456.1098
VANCOUVER
Saberifard, N., Homayounfar, M., Fadaei, M., Taleghani, M. A model of system dynamics to evaluate the LARG supply chain elements in the automotive industry. Journal of Systems Thinking in Practice, 2024; (): -. doi: 10.22067/jstinp.2024.87456.1098
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