Reliability analysis for an apparel manufacturing system applying fuzzy multistate network

Reliability analysis for an apparel manufacturing system applying fuzzy multistate network

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Article ID: iaor201527537
Volume: 88
Issue: 4
Start Page Number: 458
End Page Number: 469
Publication Date: Oct 2015
Journal: Computers & Industrial Engineering
Authors: ,
Keywords: quality & reliability
Abstract:

This paper addresses the reliability analysis for a real‐world apparel manufacturing system by using fuzzy mathematics. The studied apparel manufacturing system is a precise handicraft profession which involves a great amount of labor‐intensive processes. To consider human performance, the apparel manufacturing system is constructed as a fuzzy multistate network, termed apparel manufacturing network (AMN). The workload state of a workstation in the AMN is defined by three fuzzy membership functions: ‘under‐normal‐workload’, ‘normal‐workload’, and ‘over‐normal‐workload’. Hence, the workload of a workstation is fuzzy multistate and the workstation‐reliability is measured by three fuzzy membership functions. Subsequently, the system reliability is evaluated in terms of all workstation‐reliabilities, and is derived by fuzzy intersection. The reliability analysis can help the production manager to understand the demand satisfaction of the AMN.

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