A resilience measure for supply chain systems considering the interruption with the cyber-physical systems

Liwei Chen, Hongyan Dui and Chi Zhang

Reliability Engineering and System Safety, 2020, vol. 199, issue C

Abstract: In supply chain systems, the entities supplier, manufacturer and distribution center make up the communication platform, which can obtain the data of production, stock, demand, etc. The cyber-physical system (CPS) typically involves multiple computational platforms interacting over communication networks. In the CPS, when the supply chain is disturbed and interruption occurs, supply chain resilience measurement is important to reduce order losses in the supply chain. In this paper, firstly, according to the operational characteristics of different resilience measures, strategy of the supply chain in the interrupted environment is described. Secondly, based on the cost composition of the supply chain operating in the interrupted environment, measurement model of supply chain resilience is established. Thirdly, by introducing the time that the customers can wait as an indicator to represent the external demand environment of supply chain, the customer expectation can be distinguished quantitatively, and the customer expectation factor can be integrated into the measurement model of supply chain resilience. Finally, based on the measurement model of supply chain resilience, quantitative results of the supply chain resilience measurement are obtained, and the relationship between the results and resilience measures is analyzed based on resilience analysis, which illustrates the relationship between the unit capital investment and its ability to reduce order losses.

Keywords: Resilience; Supply chain; Cost; Customer expectations; Interruption (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:199:y:2020:i:c:s095183201930907x

DOI: 10.1016/j.ress.2020.106869

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