Fuzzy MICMAC analysis. R. Dubey and T.A. The fuzzy MICMAC analysis (Gorane and Kant, 2013; Dewangan et al., 2015) process includes the conversion of reachability matrix into binary direct relationship matrix (BDRM), development of fuzzy direct relationship matrix (FDRM) and Fuzzy MICMAC stabilized matrix. Fuzzy-MICMAC process. ISM-fuzzy MICMAC approach for analysis of GSCM enablers by A.S. Dube; R.R. Fourthly, the fuzzy-MICMAC analysis combined with TISM will help in capturing the relationships among elements more precisely than conventional MICMAC (Zhao et al., 2020). At first, ten factors of maintenance activities from a sustainable manufacturing point of view were identified. MICMAC analysis reveals that there is no autonomous issue, four (i.e. Fuzzy MICMAC (cross-impact matrix multiplication applied to classification) has been used to find out driving and the dependence power of identified waste. میتوانید از طریق دکمه پایین سفارش دهید. Global Journal of Flexible Systems Management. The driver- Integrated Model Members Copy, Not for Commercial Sale power and dependence graph has been plotted for factors www.IndianJournals.com An integrated model (Figure 4) has been formulated from (as shown in Figure 3). Fuzzy-MICMAC analysis classified all 17 PESTEL dimensions into four groups depending upon their driving and dependence powers. On the other hand, we also want to calcu-late an absolute measure of how important a variable is within the system, yet in an interpretable way. To determine the driving and the dependence power of various wastes the final results of interpretive structural modeling are used as input to the fuzzy MICMAC analysis. Table 8 SCME no. The transitivity is ignored and the diagonal entries are converted to zero. Gardas (2017). A total of 34 SCKFEs were identified through the literature review and expert opinion. Singh (2015). This paper presents an empirical study on the impact of maintenance function on more sustainable manufacturing processes. Dubey R, Samar Ali S. Identification of Flexible Manufacturing System Dimensions and Their Interrelationship Using Total Interpretive Structural Modelling and Fuzzy MICMAC Analysis. The results of the ISM are used as an input to the fuzzy MICMAC analysis to identify the driving and the dependence power of SSPEs. The results of the ISM are used as an input to the fuzzy MICMAC analysis to identify the driving and the dependence power of SSPEs. Green supply chain management (GSCM) enablers are identified using available GSCM literature and on consultations with experts from industry and academician. Fuzzy MICMAC Analysis Fuzzy MICMAC derived from the FDRM can be of great help as the significance of a criterion is measured by indirect interrelationships ( Qureshi et al., 2008 ). Better understanding of these barriers will help Moroccan organizations to prioritize better and manage their resources in an efficient and effective way. factors using big data (social media data) ISM and fuzzy MICMAC supplemented with analysis. The process in multiplication follows a process described by Kandasamy The results showed that “Safety Training” and “Management Commitment” have the most important impact on safety programs, but also it is very important to study the interactions among factors at different stages. In first step, a binary direct relationship matrix (BDRM) was developed from the reachability matrix … 3.2 Integrated Analysis of Fuzzy MICMAC and IPA. DOI 10.1007/s40171-014-0058-9. MICMAC is an indirect classification technique to critically examine the scope of each factor. , four ( i.e manufacturing System dimensions and their Interrelationship using total Interpretive Modelling! 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