Prioritizing effective 7Ms to improve production systems performance using fuzzy AHP and fuzzy
TOPSIS (case study)
Abstract
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.