Design and implementation of a fuzzy inference system for supporting customer requirements

Ying Shen Juang, Shui Shun Lin, Hsing Pei Kao

研究成果: 雜誌貢獻期刊論文同行評審

33 引文 斯高帕斯(Scopus)

摘要

Efficient and effective response to the requirements of customers is a major performance indicator. Failure to satisfy customer requirements implies operational weaknesses in a company. These weaknesses will damage both the rights of customers and the reputation of the company. The traditional method of handling customer requirement for a machine tool manufacturer was dominated by manual process and subjective decision. In this study, we improved the operation process of handling customer requirement. The framework of a customer requirement information system (CRIS) for machine tool manufacturers was then analyzed, integrating rule-based fuzzy inference and expert systems, and a prototype system developed. The CRIS supports both customers and service personnel in providing a systematic way of fulfilling and analyzing customer requirements. The system was installed and operated in a machine tool manufacturer and the performance was found promising.

原文???core.languages.en_GB???
頁(從 - 到)868-878
頁數11
期刊Expert Systems with Applications
32
發行號3
DOIs
出版狀態已出版 - 4月 2007

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