کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10322691 | 660870 | 2011 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Prioritizing effective 7Ms to improve production systems performance using fuzzy AHP and fuzzy TOPSIS (case study)
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 38, Issue 5, May 2011, Pages 5166-5177
Journal: Expert Systems with Applications - Volume 38, Issue 5, May 2011, Pages 5166-5177
نویسندگان
Reza Rostamzadeh, Saudah Sofian,