Lean performance evaluation of manufacturing systems: A dynamic and innovative approach | Zendy

Farzad Behrouzi | Zendy; Kuan Yew Wong | Zendy

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Lean performance evaluation of manufacturing systems: A dynamic and innovative approach

Author(s) -

Farzad Behrouzi,

Kuan Yew Wong

Publication year - 2011

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2010.12.065

Subject(s) - lean manufacturing , computer science , lean software development , measure (data warehouse) , lean project management , performance measurement , manufacturing engineering , focus (optics) , process management , industrial engineering , software , software development , data mining , business , engineering , software development process , physics , optics , marketing , programming language

Lean manufacturing has become an important avenue for both academics and practitioners in recent times. Many organizations around the world have attempted to implement it but the lack of a clear understanding of lean performance and its measurement will contribute to the failure of lean practices. There are many papers, articles, and reports that address lean techniques and tools, but few studies are found to focus systematically on lean performance evaluation. In order to fill the current gap, this paper presents an innovative approach to measure the lean performance of manufacturing systems by using fuzzy membership functions. The model is flexible, dynamic and easy to use. It enables a systematic measurement of lean performance by producing a final integrated unit-less score

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