Fuzzy Yield Index for Optimal Tool Replacement Policy

Mou Yuan Liao; Chien Wei Wu; Fang Yu Zhang

doi:10.4028/www.scientific.net/AMR.1028.139

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1028Fuzzy Yield Index for Optimal Tool Replacement...

Fuzzy Yield Index for Optimal Tool Replacement Policy

Abstract:

Determining the best tool replacement time is important for minimizing overall manufacturing costs. Utilizing the yield index, the true process yield for dynamic processes with tool wear can be estimated, and the tool wear problem can be controlled. However, no measurement is free from error or uncertainty, a realistic approach is to assume that observed data contain a degree of imprecision. Thus, this study applies the fuzzy theory to the tool wear control problem. A decision rule is proposed to determine the appropriate time to replace a tool.

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Periodical:

Advanced Materials Research (Volume 1028)

Pages:

139-144

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1028.139

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Online since:

September 2014

Authors:

Mou Yuan Liao*, Chien Wei Wu, Fang Yu Zhang

Keywords:

Fuzzy Logic, Imprecise Data, Process Yield, Tool Wear

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