A modeling framework and analysis of challenges faced by the Indian petroleum supply chain

This paper aims to determine the petroleum industry's supply chain challenges and develop Total Interpretive Structural Models (TISM) of the challenges faced by the companies and the consumers' perspective. From the companies' perspective, nine supply chain challenges were identified through rigorous literature review and experts' opinions. From the consumers' perspective, five challenges variables were identified by the literature and the north Indian retail consumers. A novel modeling technique, TISM methodology, describes the leading and lagging variables, which helped them convert the unstructured model to a well-articulated model. The MICMAC analysis is also performed to classify the contributory variables into different categories on the basis of their driving and dependence power. The study reveals that government policies, adverse weather conditions, and environmental regulation are the most influencing challenges, and resource availability is the least influencing by companies' perspectives. The quality and the price of products are the most influencing challenges, and social welfare is the least influencing by consumers' perspectives. This study uses the Indian petroleum industry to describe the proposed method's applicability. This research intended to guide the practitioners, policymakers, and academicians to emphasize their effort towards effective supply chain management in the petroleum industry. (C) 2021 Elsevier Ltd. All rights reserved.

Automated summary

This study aims to identify the supply chain challenges in the petroleum industry and analyze them from the perspectives of companies and consumers using Total Interpretive Structural Models (TISM). The findings show that government policies, adverse weather conditions, and environmental regulation are the most influential challenges for companies, while product quality and price are the most influential challenges for consumers.