Application of MICMAC, Fuzzy AHP, and Fuzzy TOPSIS for Evaluation of the Maintenance Factors Affecting Sustainable Manufacturing

This paper presents an empirical study on the impact of maintenance function more sustainable manufacturing processes. The work methodology comprises four stages. At first, ten factors activities from a point view were identified. Then, in second stage, matrix crossed multiplications applied to classification (MICMAC) was carried out categorize these based their influence and dependence values. In third criteria for evaluation defined, then fuzzy analytic hierarchy process (F-AHP) determine relative weights. last results MICMAC F-AHP analyses used as inputs technique order preference by similarity ideal solution (F-TOPIS) generate aggregate scores selection most important that have A numerical example is provided demonstrate applicability approach. It observed “Implementation preventive prognostic service strategies”, “The usage M&O data collection processing systems”, “Modernization machines devices” are major support realization challenges.