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FAULT IDENTIFICATION OF ASSEMBLY PROCESSES USING FUZZY SET THEORY
ISSN: 0148-7191, e-ISSN: 2688-3627
To be published on April 14, 2020 by SAE International in United States
performance and productivity. Tracking faults in a typical manufacturing system is inherently an inverse problem which makes it more challenging and difficult to solve. Presented in this article is the development of a new methodology for fault identification and root-cause analysis of complex assembly systems. A combination of a knowledge-based system and fuzzy set theory is used to develop this new technique, which is an intelligent system that mimics the behavior of an expert in the field, and can trace back the source(s) of the fault to the relevant station. Examples from real assembly operations are provided to show the effectiveness of this approach.