Prioritizing the responses to manage risks in green supply chain: An Indian plastic manufacturer perspective

Abstract

Green Supply Chain Management (GSCM) has become a very useful initiative for industries to improve their environmental capabilities in terms of, reducing resources consumption and ensuring sustainable production in business. However, the effectiveness of Green Supply Chain (GSC) is comparatively low, as there has been a substantial amount of risk involved in managing GSC efficiently. In this contribution, therefore, we aim to identify and prioritize/rank the responses of risks in a GSC context. It would be useful for industries to focus on highly ranked responses and formulate strategies to practice them in accordance with their priority for managing the consequences of risks in GSC. The present research seeks to propose a model by using the fuzzy Analytic Hierarchy Process (AHP) and fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) methods to prioritize the responses in GSC to manage its risks under the fuzzy environment. The fuzzy AHP is useful in deciding the importance weights of the related GSC risks. While, by using the fuzzy TOPSIS, the priority/ranking of the responses in a successful accomplishment of green initiatives is determined. To illustrate the effectiveness of the proposed model, the GSCM real-world case of an Indian poly-plastic manufacturing company is presented. The model proposed would offer a scientific analytic means to the managers/business professionals/practitioners for systematic implementation of the responses of risks relevant to adoption and effective implementation of green initiatives in business. A sensitivity analysis test has also been performed that monitors the robustness of the proposed network model.