Fuzzy logic based method to measure degree of lean activity in manufacturing industry
- Submitting institution
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University of Northumbria at Newcastle
- Unit of assessment
- 12 - Engineering
- Output identifier
- 25211324
- Type
- D - Journal article
- DOI
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10.1016/j.jmsy.2014.09.007
- Title of journal
- Journal of Manufacturing Systems
- Article number
- -
- First page
- 1
- Volume
- 34
- Issue
- -
- ISSN
- 0278-6125
- Open access status
- Out of scope for open access requirements
- Month of publication
- October
- Year of publication
- 2014
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper describes a fuzzy logic-based method developed to measure the degree of lean activity within the Indonesia manufacturing industry. The fuzzy logic-based system, incorporating “crisp” and “fuzzy” measures and combining multiple experts’ judgements, was applied to data from industry (51 samples). After publication, the outcomes were disseminated to the companies that participated in this research and has influenced some practices within the manufacturing industry (anitasusilawati@yahoo.com). The research has also resulted in the development of research in Fuzzy AHP (KnE Engineering, V2016). The research resulted in the initiation of lean manufacturing research in the University of Riau, Indonesia.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
