Project selection through fuzzy analytic hierarchy process and a case study on Six Sigma implementation in an automotive industry
作者： Bilge Bilgen , Mutlu Şen
DOI: 10.1080/09537287.2010.537286
关键词:
摘要: Six Sigma is viewed as a systematic, scientific, statistical and smarter approach for management of innovation focuses on establishing world class business performance. The main identifiers supreme features amongst other improvement techniques are: its rich ground which covers many customer oriented problem solving scientific methodology based statistics. One the most important factors achieving success selection right projects. This article presents case study in both project selected adopted to reduce energy cost by optimisation material transferring heat loss an automotive supplier industry. To cope with ambiguity vagueness problem, Fuzzy Analytic Hierarchy Process has been used. also describes how various tools are employed different phases within ...
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