A FRAMEWORK FOR LEAN READINESS EVALUATION USING A HIERARCHICAL FUZZY SYSTEM
Lean manufacturing is becoming the frontrunner in solving manufacturing-related problems. To sustain the lean journey, assessing lean readiness is the appropriate way to implement it in any industry. In this research, lean readiness is evaluated in a case study industry using a framework model. It c...
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Format: | Article |
Language: | English |
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Stellenbosch University
2019-05-01
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Series: | South African Journal of Industrial Engineering |
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Online Access: | http://sajie.journals.ac.za/pub/article/view/1988 |
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author | Baskaran, S. M. Lakshmanan, A. R. |
author_facet | Baskaran, S. M. Lakshmanan, A. R. |
author_sort | Baskaran, S. M. |
collection | DOAJ |
description | Lean manufacturing is becoming the frontrunner in solving manufacturing-related problems. To sustain the lean journey, assessing lean readiness is the appropriate way to implement it in any industry. In this research, lean readiness is evaluated in a case study industry using a framework model. It consists of two dimensions: the critical success factors, and the barriers. Using force field analysis, the conflicting nature of these dimensions was portrayed. With the help of fuzzy logic, a hierarchical fuzzy system was developed to evaluate lean readiness. The result of this method opens up a new direction for managers to identify lean readiness. |
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format | Article |
id | doaj.art-5a9d4b757733493c8d2bbe7145a5ace0 |
institution | Directory Open Access Journal |
issn | 1012-277X 2224-7890 |
language | English |
last_indexed | 2024-12-10T21:25:38Z |
publishDate | 2019-05-01 |
publisher | Stellenbosch University |
record_format | Article |
series | South African Journal of Industrial Engineering |
spelling | doaj.art-5a9d4b757733493c8d2bbe7145a5ace02022-12-22T01:33:00ZengStellenbosch UniversitySouth African Journal of Industrial Engineering1012-277X2224-78902019-05-0130122023410.7166/30-1-1988A FRAMEWORK FOR LEAN READINESS EVALUATION USING A HIERARCHICAL FUZZY SYSTEMBaskaran, S. M. 0Lakshmanan, A. R. 1AMET University, IndiaPSG College of Technology, IndiaLean manufacturing is becoming the frontrunner in solving manufacturing-related problems. To sustain the lean journey, assessing lean readiness is the appropriate way to implement it in any industry. In this research, lean readiness is evaluated in a case study industry using a framework model. It consists of two dimensions: the critical success factors, and the barriers. Using force field analysis, the conflicting nature of these dimensions was portrayed. With the help of fuzzy logic, a hierarchical fuzzy system was developed to evaluate lean readiness. The result of this method opens up a new direction for managers to identify lean readiness.http://sajie.journals.ac.za/pub/article/view/1988lean readinesscritical success factorsbarriersfuzzy logichierarchical fuzzy system |
spellingShingle | Baskaran, S. M. Lakshmanan, A. R. A FRAMEWORK FOR LEAN READINESS EVALUATION USING A HIERARCHICAL FUZZY SYSTEM South African Journal of Industrial Engineering lean readiness critical success factors barriers fuzzy logic hierarchical fuzzy system |
title | A FRAMEWORK FOR LEAN READINESS EVALUATION USING A HIERARCHICAL FUZZY SYSTEM |
title_full | A FRAMEWORK FOR LEAN READINESS EVALUATION USING A HIERARCHICAL FUZZY SYSTEM |
title_fullStr | A FRAMEWORK FOR LEAN READINESS EVALUATION USING A HIERARCHICAL FUZZY SYSTEM |
title_full_unstemmed | A FRAMEWORK FOR LEAN READINESS EVALUATION USING A HIERARCHICAL FUZZY SYSTEM |
title_short | A FRAMEWORK FOR LEAN READINESS EVALUATION USING A HIERARCHICAL FUZZY SYSTEM |
title_sort | framework for lean readiness evaluation using a hierarchical fuzzy system |
topic | lean readiness critical success factors barriers fuzzy logic hierarchical fuzzy system |
url | http://sajie.journals.ac.za/pub/article/view/1988 |
work_keys_str_mv | AT baskaransm aframeworkforleanreadinessevaluationusingahierarchicalfuzzysystem AT lakshmananar aframeworkforleanreadinessevaluationusingahierarchicalfuzzysystem AT baskaransm frameworkforleanreadinessevaluationusingahierarchicalfuzzysystem AT lakshmananar frameworkforleanreadinessevaluationusingahierarchicalfuzzysystem |