Analysis of Various Enablers of Sustainable Supply Chain using MICMAC Analysis

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2019 by IJETT Journal
Volume-67 Issue-5
Year of Publication : 2019
Authors : Sheikh Asim, Payal Bhargava
DOI :  10.14445/22315381/IJETT-V67I5P203


MLA Style: Sheikh Asim, Payal Bhargava "Analysis of Various Enablers of Sustainable Supply Chain using MICMAC Analysis" International Journal of Engineering Trends and Technology 67.5 (2019): 13-20.

APA Style: Sheikh Asim, Payal Bhargava(2019). Analysis of Various Enablers of Sustainable Supply Chain using MICMAC Analysis International Journal of Engineering Trends and Technology, 67(5), 13-20.

Industrialization has increased dramatically in recent decades. This has led to an increase in the production and consumption of various products. This rapid industrialization has seriously damaged society and the environment, in which the lack of natural resources, the production of waste during production, the increase in emissions and the amount of transport, the goods that are not eliminated at the end Product Life Cycle and Stressful Employees The work environment for these emerging issues has focused on sustainability issues and the need for sustainable supply chains to sustain this rapid economic growth in terms of environmental and social problems. In this work, we present a modeling framework to examine the different activators of sustainable supply chains, to analyze their relationships, and to propose alternatives for the development of a sustainable supply chain. In a first step, a comprehensive review of the literature will be conducted to identify the moderators and provide information on the concept of the triple end result (environmental, social and economic) of sustainability. In the second step, interpretative structural models are used to develop the relationship between several factors for each dimension of sustainability. In the third and final step, the ISM results are used as information for the analytical network process along with a possible list of alternatives to determine the best alternative (s) to develop sustainable supply chains. The proposed approach is novel and addresses an important problem of modeling enablers and alternatives for sustainable management of the supply chain. The results have a strong practical applicability and can be adapted by organizations with fewer changes in their existing work structure.

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Interpretative Structural Modelling (ISM), MICMAC Analysis.