Functional healthy state evaluation approach for manufacturing systems considering imperfect inspection based on extended stochastic flow network

The core function of a manufacturing system is to consistently and efficiently output a specified number of qualified products that can meet production demands. However, the imperfect inspection can sometimes bring disturbances to the work-in-process (WIP) quality and the processing machine degradation in the function realization process, and this aspect has not been paid due attention in existing research on manufacturing system health evaluation researches. Therefore, a functional healthy state evaluation approach for manufacturing systems considering imperfect inspection based on extended stochastic flow network (ESFN) is proposed in this paper. First, a function realization-oriented operational mechanism is expounded from the systematic perspective. On this basis, the connotation of the functional healthy state of the manufacturing system considering imperfect inspection is further defined. Second, an ESFN model is established to describe the relationship among processing machines, WIPs, and inspection machines in a running manufacturing system. Third, a functional healthy state evaluation approach for a manufacturing systems considering imperfect inspection is proposed. Finally, the effectiveness of the approach is verified by an illustrative example.

Automated summary

This paper proposes a functional healthy state evaluation approach for manufacturing systems considering imperfect inspection based on extended stochastic flow network (ESFN). The approach takes into account the impact of imperfect inspection and is validated through an illustrative example.