A Flexible Decision Framework for Building Risk Mitigation Strategies in Green Supply Chain Using SAP–LAP and IRP Approaches

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.