Decision Optimization of Manufacturing Supply Chain Based on Resilience

Feng Lyu (), Jiajie Zhang, Fen Liu and Huili Chu
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Feng Lyu: School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, China
Jiajie Zhang: School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, China
Fen Liu: School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, China
Huili Chu: School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, China

Sustainability, 2025, vol. 17, issue 14, 1-18

Abstract: Manufacturing serves as a vital indicator of a nation’s economic strength, technological advancement, and comprehensive competitiveness. In the context of the VUCA (Volatility, Uncertainty, Complexity, Ambiguity) business environment and globalization, uncertain market demand has intensified supply chain disruption risks, necessitating resilience strategies to enhance supply chain stability. This study proposes five resilience strategies—establishing an information sharing system, multi-sourcing, alternative suppliers, safety stock, and alternative transportation plans—while integrating sustainability requirements. A multi-objective mixed-integer optimization model was developed to balance cost efficiency, resilience, and environmental sustainability. Comparative analysis reveals that the resilience-embedded model outperforms traditional approaches in both cost control and risk mitigation capabilities. The impact of parameter variations on the model results was examined through sensitivity analysis. The findings demonstrate that the proposed optimization model effectively enhances supply chain resilience—mitigating cost fluctuations while maintaining robust demand fulfillment under uncertainties.

Keywords: manufacturing supply chain; resilience; multi-objective mixed-integer model; decision optimization; sensitivity analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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