Vulnerability Assessment Method for Mixed-flow Manufacturing System with Time-varying Performance Parameters

doi:10.3901/JME.2019.18.215

Abstract

Abstract: For the disadvantages of the conventional vulnerability assessment methods for the mixed flow manufacturing system, by considering the real-time changes performance parameters of this type of system, a quantitative evaluation method for the vulnerability of mixed-flow manufacturing system (MMS) by using the L_Z-transform is proposed. Firstly, using the discrete-time Markov principle, the instantaneous probability of each state of the manufacturing unit is obtained. According to the structural characteristics of the MMS, the L_Z-transform of manufacturing unit and the series-parallel construction operator of the general generation function, the L_Z-transform function of the MMS is obtained. Secondly, by following the system's vulnerability definition and L_Z-transform function of MMS, the vulnerability assessment method is established by regarding the availability, expectation of average output, and instantaneous performance defect as the evaluation index. Finally, taking a simple MMS as an example, a vulnerability assessment method which is based on the corresponding L_Z-transform function is proposed to evaluate the vulnerability. Compared to the traditional state entropy-based method, the results verify the applicability for the actual situation and the application of vulnerability assessment is also expanded.

Key words: mixed-flow manufacturing system, L_Z-transform, vulnerability, assessment

CLC Number:

TG156

GAO Guibing, YUE Wenhui, WANG Feng. Vulnerability Assessment Method for Mixed-flow Manufacturing System with Time-varying Performance Parameters[J]. Journal of Mechanical Engineering, 2019, 55(18): 215-224.

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