An interrelation ship among the enablers are done with FISM(Fuzzy Interpretive Structural Modeling and FMICMAC(Fuzzy MICMAC) analysis. 4.1 Binary direct relationship matrix A binary direct reachability matrix (BDRM) is obtained by examining the direct relationship among the criterion in the ISM as given in Table 4. Hence, considering the synergetic effects of combined PESTEL-TISM and fuzzy-MICMAC, the present study has used these tools to analyze the sustainable dimensions of HCWM during the COVID-19 outbreak. Dube, A. S., (2016) Quantitative assessment of mutual relationship of issues experienced in greening supply chain using ISM-fuzzy MICMAC approach. A total of 34 SCKFEs were identified through the literature review and expert opinion. 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. ISM-fuzzy MICMAC approach for analysis of GSCM enablers by A.S. Dube; R.R. Then fuzzy-MICMAC analysis has been done to analyse these factors. R. Dubey and T.A. Section-8 provides suggestions for the improvement of fruits and vegetables supply chain in India and we conclude the paper in Section-9, with the limitations and issues for further research. Keywords: sustainable maintenance; maintenance factors; maintenance hybrid analysis; MICMAC analysis; fuzzy AHP; fuzzy TOPSIS 1. In first step, a binary direct relationship matrix (BDRM) was developed from the reachability matrix … The work methodology comprises four stages. Fuzzy-MICMAC analysis classified all 17 PESTEL dimensions into four groups depending upon their driving and dependence powers. The process in multiplication follows a process described by Kandasamy This paper is an application of TISM to interpret the mutual relationship with the ISM using the tool of interpretive matrix and leads to evolving the framework and find out driving and the dependence power of factors, using fuzzy MICMAC analysis. The BDRM so derived, is shown in Table 8. Duperrin and Godet established the MICMAC methodology to systematically analyse a complex system. ISM-fuzzy MICMAC approach for analysis of GSCM enablers. On the basis of the questionnaire, five experts on library and management were re-visited, who were asked to judge the degree of influence and dependence among the factors respectively. Global Journal of Flexible Systems Management. The result shows that use of reconfigurable machine tool, automation and flexible fixturing have strong driving power and weak dependence power … 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). The object of this paper is to identify the enablers to implement green supply chain and to understand their mutual relationship. This paper presents an empirical study on the impact of maintenance function on more sustainable manufacturing processes. Fuzzy MICMAC analysis. ISM-fuzzy MICMAC approach for analysis of GSCM enablers. The second phase utilized fuzzy MICMAC analysis to categorize the factors in terms of their criticalitbased ony their dependence power and driving power. MICMAC analysis reveals that there is no autonomous issue, four (i.e. [3] R.D. 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. As an example, an Indian manufacturing organisation is selected that is willing to adopt the successful knowledge flow for improving supply … Raut, B. Narkhede and B.B. Dubey R, Samar Ali S. Identification of Flexible Manufacturing System Dimensions and Their Interrelationship Using Total Interpretive Structural Modelling and Fuzzy MICMAC Analysis. Findings – The research presents a hierarchy-based model and mutual relationships among SSPEs. Gawande International Journal of Logistics Systems and Management (IJLSM), Vol. With this in mind, this article presents an integrated Social Network-Fuzzy Integrated Network-fuzzy Cross-impact matrix multiplication analysis (MICMAC) approach that considers the largely imprecise interrelationships between multiple project delay factors. میتوانید از طریق دکمه پایین سفارش دهید. The aim of this paper is the analysis of potential barriers which would hinder the manufacturing organizations from embracing Industry 4.0. Sustainable Development Goals are an agenda created by the United Nations [1] that tackle the … The indirect relationships between the barriers have an impact on selected method through the influence of the interactions in the form of chains and reaction loops also known as feedbacks. Integrated ISM-Fuzzy MICMAC approach based factor analysis on the implementation of safety program in construction industry , Pages: 139-150 Saber Ibrahim and Nejah Ben Mabrouk PDF (416 K) Abstract: The challenge of improving construction safety performance is observed in many countries. This study used semi-structured interviews, a fuzzy interpretive structural modeling (FISM) and a Fuzzy-MICMAC (FMICMAC) analysis to explore and establish the relationship between and among identified inhibitors. 4, 2016 Abstract: The object of this paper is to identify the enablers to implement green supply chain and to understand their mutual relationship. FISM is used to examine the interaction between inhibitors, while FMICMAC analysis is used to examine the nature of inhibitors on the basis of their dependence and driving power. While the ISM methodology analyses the interactions among the SCKFEs, fuzzy MICMAC analysis is employed to obtain insights into the dependencies among the SCKFEs. 3.1 Fuzzy Modi cations to MICMAC In general, structural analysis is easier when the influence and dependence are described in terms of linguistic labels. and fuzzy MICMAC analysis Anshuman Sharma ID 1*, Haidar Abbas2, Muhammad Qutubuddin Siddiqui1 1 College of Business Administration, Ajman University, Ajman, United Arab Emirates, 2 Salalah College of Applied Sciences, University of Technology and Applied Sciences, Salalah, Oman * profasharma@gmail.com Abstract The Cold Supply Chain (CSC) is an integral part of the … At first, ten factors of maintenance activities from a sustainable manufacturing point of view were identified. Better understanding of these barriers will help Moroccan organizations to prioritize better and manage their resources in an efficient and effective way. The results of ISM are used as an input to fuzzy matrix of cross-impact multiplications applied to classification (MICMAC) analysis, to identify the driving and dependence power of GSCMBs. DOI 10.1007/s40171-014-0058-9. Table 8 SCME no. The transitivity is ignored and the diagonal entries are converted to zero. Findings – The research presents a hierarchy-based model and mutual relationships among SSPEs. connectivity issue, shy to use technology, lack of institutional guidelines and stress of pandemic situation) are independent, other six issues are dependent and remaining eleven are linking. Introduction In the area of manufacturing management, researchers and practitioners are facing new challenges, namely, the Sustainable Development Goals. Integrated Logistics, Sustainability, Enablers, Total Interpretive Structural Modelling (TISM), Fuzzy-MICMAC analysis: کد محصول : E6794: وضعیت ترجمه مقاله ترجمه آماده این مقاله موجود نمیباشد. This study used semi-structured interviews, a fuzzy interpretive structural modeling (FISM) and a Fuzzy-MICMAC (FMICMAC) analysis to explore and establish the relationship between and among identified inhibitors. Understanding complex relationship among JIT, Lean behavior, TQM and their antecedents using interpretive structural modeling and Fuzzy MICMAC analysis. This paper is an application of TISM to interpret the mutual relationship with the ISM using the tool of interpretive matrix and leads to evolving the framework and find out driving and the dependence power of factors, using fuzzy MICMAC analysis. 2. 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). The final stabilized matrix is then calculated by iteratively multiplication of the matrix with itself. Kumar, Deepak, (2018) ISM is a technique that was widely used in the literature to transform a complex structure comprising interrelated variables into a simple hierarchical structure (Warfield 1974). Green supply chain management (GSCM) enablers are identified using available GSCM literature and on consultations with experts from industry and academician. provides only binary relationship among obstacles, while fuzzy MICMAC analysis provides precise analysis related to the driving and dependence power of the barriers. Finally, the identified risks were classified into various categories according to their dependence and driving power using fuzzy MICMAC analysis. Singh (2015). A systematic literature review was conducted to identify the drivers influencing the consumer’s decision of buying beef products and supply chain performance. 3.2 Integrated Analysis of Fuzzy MICMAC and IPA. 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 ). This process is done to stabilize the hierarchies of driving power and dependence of the matrix. By using the Fuzzy MICMAC analysis, the factors were classified into four groups based on their driving power and dependence power. An initial reachability set is constructed from structural self interaction matrix (SSIM) and final reachability set by considering a scale 0-1 instead of binary condition. 2014; 15(2): 131–143. MICMAC is an indirect classification technique to critically examine the scope of each factor. Fuzzy MICMAC (cross-impact matrix multiplication applied to classification) has been used to find out driving and the dependence power of identified waste. 24, No. The factors of CSR have been the fuzzy-MICMAC stabilised matrix using the driver classified into … factors using big data (social media data) ISM and fuzzy MICMAC supplemented with analysis. In section-6, fuzzy MICMAC analysis is performed to classify the causes based on driving power and dependence and in Section-7, the results are provided. 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. Gardas (2017). The ISM fuzzy MICMAC analysis is carried out as per following procedure. The results of ISM are considered inputs to Fuzzy MICMAC analysis to classify the driving and dependence power of CSFs. 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