ranking 7ms effective factors in iranian production systems using fuzzy ahp

Authors

amir amini

m.sc. graduate of industrial engineering, alghadir institute of higher education, tabriz, iran alireza alinezhad

associate professor, faculty of industrial and mechanical engineering, qazvin branch, islamic azad university, qazvin, iran

abstract

in order to survive in today's competitive world, organizations are looking to increase their efficiency and effectiveness. therefore, they should focus on inputs that are more important than the rest of the inputs in their success. this paper aimed at ranking 7ms (management, man power, marketing, material, machinery, methods and money) and their sub-criteria of production in iran. by improving manufacturing processes, manufacturing organizations create and establish their added value. the analytic hierarchy process (ahp) is a very popular method in decision making process, and its inner dependence extension is used for cases in which criteria or alternatives are not independent enough. in fahp, each option severity is displayed by fuzzy numbers in relation to criteria. therefore, a fuzzy judgment matrix is obtained. in this study, fuzzy ahp tool has been used to rank these inputs. the results are compared with the ideal ranking results and are examined that how different they are.

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Journal title:
journal of modern processes in manufacturing and production

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