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...

Full description

Bibliographic Details
Main Authors: Baskaran, S. M., Lakshmanan, A. R.
Format: Article
Language:English
Published: Stellenbosch University 2019-05-01
Series:South African Journal of Industrial Engineering
Subjects:
Online Access:http://sajie.journals.ac.za/pub/article/view/1988
_version_ 1818503563652890624
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.
first_indexed 2024-12-10T21:25:38Z
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