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.

Promoting high-quality development of the manufacturing industry is the key to achieving sustainable economic development. The development of the manufacturing industry is affected by a variety of factors, and it is particularly important to reflect on its level of development from multiple perspectives. This paper built an evaluation indicator system for the manufacturing industry’s high-quality development using the structural equation model. An improved TOPSIS evaluation model was constructed based on the combined weighting of the level difference maximization method. The time series arithmetic mean operator was introduced to assign weight to time, and the quadratic weighted integration enabled a dynamic evaluation. The level of high-quality development of China’s manufacturing industry from 2018 to 2022 was assessed both statically and dynamically. According to the findings, the overall high-quality development of China’s manufacturing industry exhibited a trend of first declining and then increasing when the current status was only element taken into account. Regionally, there was a sequential decline from the east to the central part, followed by the western and northeastern regions. When focusing solely on the degree of growth, it was higher in the northeast and lower in the east. However, the regional characteristics declined when both the current status and the degree of growth were considered. Evaluating the high-quality development level of the manufacturing industry can provide references and lessons for promoting regional coordinated and sustainable development of China’s manufacturing industry.