Showing papers by "Sachin Kumar Mangla published in 2014"
TL;DR: TISM based the proposed model evaluates the causality and illustrate factors with interpretation of relations via directed links in the form of Interpretive Matrix, and suggests that factors at the bottom level are crucial for sustainability focused chain to build its capability on risks and risk issues.
Abstract: Concern related to green and sustainability is growing from past few years in the research area of supply chain management. Collectively, these concerns involves a higher number of interacting factors, which further can multiply complexity by the decrease in visibility of the risks in supply chain operations and so add to its vulnerability. To make supply chain (SC) capable to bear simultaneously regular and risk condition, one requires proactive planning and flexibility in the decisions making. To provide supply chain designers a proactive decision model, this paper proposes to use a flexible decision approach, i.e. Interpretive Structural Modeling (ISM) for recognizing the combined interactions between factors influencing sustainable risk bearing SC. However, the interpretation of the interactive relationships represented by directed links for the identified factors relatively lacks in the ISM approach, and thus may distort the process of decision making. Therefore, in this study, ISM is extended to the Total Interpretive Structural Modeling (TISM) approach to overcome these issues in interpreting the directed links in the structural model for considered factors. Further, by using relationship analysis, we graphically categorize factors on the basis of their impact on performance. Finally, TISM based the proposed model evaluates the causality and illustrate factors with interpretation of relations via directed links in the form of Interpretive Matrix, and suggests that factors at the bottom level are crucial for sustainability focused chain to build its capability on risks and risk issues. The implications at managerial level and conclusions are presented in the end.
133 citations
TL;DR: In this article, an interpretive structural modelling (ISM)-based approach to implement and initiate green activities in supply chains is presented, where variables such as supplier and stakeholder commitment, cost benefits, environmental issue, and customer redundancy have been identified and categorised under enablers; green and sustainable products, processing time and green productivity and efficiency, etc., under results.
Abstract: Due to increasing awareness among consumers and government legislations for preserving environment manufacturing firm’s needs to identifies and analyse the various variables involved in their supply chains. While, the identification of key variables for organisations those either implemented or thinking to initiate green activities in supply chains is a challenge. This paper provides an interpretive structural modelling (ISM)-based approach to implement and initiate green activities in supply chains. Variables such as supplier and stakeholder commitment, cost benefits, environmental issue, and customer redundancy, etc., have been identified and categorised under enablers; green and sustainable products, processing time and green productivity and efficiency, etc., under results. The research result interprets the variables possessing higher driving power requires high attention. Finally, proposed a model to present the ISM-based hierarchy in order of preference of variables in GSC. The variables in proposed ISM model are input through a case paper industry in northern India.
74 citations
TL;DR: The proposed flexible SAP–LAP and IRP based model would help organizations to address risk mitigation strategies for green supply chain with concerns over situation, actor, process, learning, action and performance aspects, together to interpret the of role and influence of actor and action in accordance with process and performance that will increase the GSC robustness and hence enhancement in the ecological–economic gains.
Abstract: This paper attempts to develop a holistic flexible decision framework to analyze the risk mitigation strategies in network design of green supply chain. The methodology of Situation Actor Process–Learning Action Performance (SAP–LAP) is employed to analyze the problem. However, the interpretation of the interactive relationships among the variables of the SAP–LAP based model relatively lacks in this process, and thus may distort the process of decision making. Therefore, in this study, SAP–LAP approach is linked with a novel ranking method i.e., Interpretive Ranking Process (IRP), which overcomes the issues of decision-making in SAP–LAP methodology and helps in evaluating the SAP–LAP model by determining the ranks of actors and actions w.r.t. process and performance respectively. The research novelty presents the findings via an intuitive and interpretive decision technique to address important issues in perceptive of risk and mitigation strategies regarding green supply chain. The proposed flexible SAP–LAP and IRP based model would help organizations to address risk mitigation strategies for green supply chain with concerns over situation, actor, process, learning, action and performance aspects, together to interpret the of role and influence of actor and action in accordance with process and performance that will increase the GSC robustness and hence enhancement in the ecological–economic gains.
62 citations
TL;DR: In this paper, the authors focus on the operational green supply chain risk evaluation and management by capturing of uncertainty and evaluating the risks by means of simulation to demonstrate the delay/disturbance consequences of the risk (i.e., the loss in business).
25 citations