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There are several different risks and risk factors involved in managing the green supply chain (GSC) practices successfully. These risks and risk factors have a tendency to disrupt the typical GSC operations, and hence, reduce the success rate. To mitigate the consequences, therefore, a flexible decision modeling which could evaluate the risks in the context of GSC is needed from the industrial viewpoint. The present research work intends to propose a flexible decision model based on combined fuzzy analytic hierarchy process (AHP) and interpretive ranking process (IRP) methodology to evaluate the risks associated with implementation of GSC practices under the fuzzy surroundings. Fuzzy AHP approach estimates the priority or ranking of the identified risks by determining of their relative importance. To analyze the risks ranking obtained through the fuzzy AHP, the methodology of IRP is applied. The methodology of IRP, however, also enables the decision makers to understand the interpretive logic for dominance of one risk over the other for each pair wise comparison. The proposed flexible risk evaluation model is applied to an empirical case of Indian poly plastic manufacturing company. The model proposed in this study offers logical means to understand the significance of different risks in the strategic decision processes. It would help the managers and practitioners to interpret the influence of key strategic actions on the performance and to improve the effectiveness of the processes by building some robust and flexible strategies for managing risks in GSC.
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- Flexible Decision Modeling for Evaluating the Risks in Green Supply Chain Using Fuzzy AHP and IRP Methodologies
Sachin K. Mangla
Mukesh Kumar Barua
- Springer India
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