Resilience Assessment for a Parts Supply Network Based on Multi-State Flow Network Reliability

In this paper, a parts supply network is modeled as a multi-state flow network, in which a node denotes a supplier, a transfer station or an assembly factory, while a route between two nodes denotes a carrier with multiple transportation capacities. Based on multi-state network reliability analysis, a resilience assessment method is presented to evaluate the capability of a parts supply network to absorb disturbances under multiple resource constraints. First, a performance metric is proposed to measure a parts supply network. Then, a resilience model, based on the semi-Markov process, is built in consideration of multiple resource constraints (i.e., cost, manpower, and time). Moreover, an effective algorithm is developed to evaluate the performance of a parts supply network. Finally, a case study is provided to explore the resilience of a parts supply network under different recovery strategies, which enables decision-makers to make the optimal recovery strategy under limited resources.