Prioritizing effective 7Ms to improve production systems performance using fuzzy AHP and fuzzy TOPSIS (case study)
This paper is aimed to present a fuzzy decision-making approach for prioritizing effective 7Ms to improve production systems performance. In this research systematic approach has been used for organization and production system inputs which named as 7Ms (Management, Manpower, Marketing, Method, Mach...
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my.utm.293742019-03-25T08:07:08Z http://eprints.utm.my/id/eprint/29374/ Prioritizing effective 7Ms to improve production systems performance using fuzzy AHP and fuzzy TOPSIS (case study) Rostamzadeh, Reza Sofian, Saudah HD28 Management. Industrial Management This paper is aimed to present a fuzzy decision-making approach for prioritizing effective 7Ms to improve production systems performance. In this research systematic approach has been used for organization and production system inputs which named as 7Ms (Management, Manpower, Marketing, Method, Machine, Material, and Money). Linguistic values are used to assess the ratings and weights for 7Ms. These linguistic ratings can be expressed in trapezoidal or triangular fuzzy numbers. Then, a hierarchy multiple criteria decision-making (MCDM) model based on fuzzy-sets theory including FAHP and FTOPSIS are applied. The results obtained from AHP, FAHP; FTOPSIS were compared with each other. This research has been conducted on a manufacturing plant however the results can also be used for other types of organizations that are located in a competitive environment. Elsevier Ltd. 2011-05 Article PeerReviewed Rostamzadeh, Reza and Sofian, Saudah (2011) Prioritizing effective 7Ms to improve production systems performance using fuzzy AHP and fuzzy TOPSIS (case study). Expert Systems with Applications, 38 (5). pp. 5166-5177. ISSN 0957-4174 http://dx.doi.org/10.1016/j.eswa.2010.10.045 DOI:10.1016/j.eswa.2010.10.045 |
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HD28 Management. Industrial Management Rostamzadeh, Reza Sofian, Saudah Prioritizing effective 7Ms to improve production systems performance using fuzzy AHP and fuzzy TOPSIS (case study) |
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This paper is aimed to present a fuzzy decision-making approach for prioritizing effective 7Ms to improve production systems performance. In this research systematic approach has been used for organization and production system inputs which named as 7Ms (Management, Manpower, Marketing, Method, Machine, Material, and Money). Linguistic values are used to assess the ratings and weights for 7Ms. These linguistic ratings can be expressed in trapezoidal or triangular fuzzy numbers. Then, a hierarchy multiple criteria decision-making (MCDM) model based on fuzzy-sets theory including FAHP and FTOPSIS are applied. The results obtained from AHP, FAHP; FTOPSIS were compared with each other. This research has been conducted on a manufacturing plant however the results can also be used for other types of organizations that are located in a competitive environment. |
format |
Article |
author |
Rostamzadeh, Reza Sofian, Saudah |
author_facet |
Rostamzadeh, Reza Sofian, Saudah |
author_sort |
Rostamzadeh, Reza |
title |
Prioritizing effective 7Ms to improve production systems performance using fuzzy AHP and fuzzy TOPSIS (case study) |
title_short |
Prioritizing effective 7Ms to improve production systems performance using fuzzy AHP and fuzzy TOPSIS (case study) |
title_full |
Prioritizing effective 7Ms to improve production systems performance using fuzzy AHP and fuzzy TOPSIS (case study) |
title_fullStr |
Prioritizing effective 7Ms to improve production systems performance using fuzzy AHP and fuzzy TOPSIS (case study) |
title_full_unstemmed |
Prioritizing effective 7Ms to improve production systems performance using fuzzy AHP and fuzzy TOPSIS (case study) |
title_sort |
prioritizing effective 7ms to improve production systems performance using fuzzy ahp and fuzzy topsis (case study) |
publisher |
Elsevier Ltd. |
publishDate |
2011 |
url |
http://eprints.utm.my/id/eprint/29374/ http://dx.doi.org/10.1016/j.eswa.2010.10.045 |
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