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Modelling resilience dynamics for smart manufacturing systems: quantification and empirical analysis
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AI
DOI：10.1080/0951192X.2024.2438934.png)
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Abstract
En 中文
Smart manufacturing contributes to a better management of uncertainties and risks in today's business environment, leading to a more resilient system. Despite its significance, the quantification of resilience in manufacturing environments is not well developed and is considered a pressing research gap. This study introduces a novel approach for assessing resilience through the development of a mathematical model for smart manufacturing systems. The sensitivity and applicability of the proposed model are investigated through simulation-based experimentation. The results demonstrate the level of resilience with the adaptability of smart manufacturing technologies. Interestingly, the trigger point derived from the simulation results is an indicator of the threshold limit for effective implementation of smart manufacturing technologies for the desired system resilience. The research provides a tool for decision-makers in industry that are considering investing in smart manufacturing solutions to increase their operational resilience. Decision-makers can design the deployment of smart manufacturing systems based on an informative trade-off to maintain the required resilience capabilities and achieve a competitive edge in the market.
Keywords:
Smart manufacturing
resilience
sensitivity
simulation
trigger point
supply chain
digital supply networks
Industry 4.0
Journal
I
IF:
4
Papers:
2.3K
Citations:
3.4K
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