Resilience enhancement of complex manufacturing systems based on critical theory

The resilience of complex manufacturing systems (CMS) is fundamental to ensuring the system's continuous and stable production. When resilience depletion leads to production interruptions, significant time and economic resources are often required for the system to resume stable operations. Therefore, capturing the depletion evolution dynamics of CMS is crucial for comprehensively enhancing their resilience. To analyze the resilience evolution in CMS, we propose a unidirectional weighted coupling map lattice (UW-CML) model, building upon critical theory. The UW-CML model considers the propagation characteristics and mechanisms of risks within CMS production processes, rendering it particularly suitable for assessing the resilience evolution of such systems. Based on mapping between system resilience and flow entropy, a system flow entropy reduction (FER) algorithm is introduced to enhance system resilience by identifying an optimal strategy for redistributing workpiece flow. The experiment employs real production data from Bosch’s production line. The results indicate that UW-CML effectively captures the resilience depletion in CMS in risky environments. Furthermore, FER increases the critical threshold of system resilience depletion by 67%. Additionally, under the same disturbance intensity, FER reduces the risk propagation range by 55%, thereby significantly enhancing system resilience.