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Analysis of Supply Chain Sustainability Drivers in the Oil and Gas Industry under Covid-19 Pandemic

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Abstract

The supply chain of many industries, including Oil and Gas, was significantly affected by the disruption caused by the Covid pandemic. This, in turn, had a knock-on effect on other industries around the globe. Sustaining the impact of the disruption posed a major challenge for the industry. This study contributes to the existing literature by identifying and analyzing the most significant drivers that affected the sustainability of the Oil and Gas supply chain during the Covid pandemic. Fifteen drivers were identified based on an extensive literature review and a survey conducted with experts working in the Oil and Gas industry. Multi-criteria decision-making methodologies were used to analyze these drivers. The analysis from the fuzzy analytical hierarchy process found that the most important drivers for the sustainability of the Oil and gas supply chain during the pandemic were “Risk management capacity”, “Government regulation” and “Health and safety of employees”. On the other hand, the driver “Community Pressure” was found to be of the least importance. Furthermore, the study integrated the results of the fuzzy analytical hierarchy process with the fuzzy technique for order of preference by similarity to ideal solution to calculate the supply chain sustainability index. A case example was demonstrated to rank the industries based on such calculations. This study can support the governmental institutions in benchmarking the Oil and Gas industry based on its sustainability index. Additionally, the outcomes of the study will help industrial decision makers prioritize the drivers the company should focus and devise strategies based on the priority to improve the sustainability of their supply chain during severe disruption. This will be crucial as the World health organization has cautioned that the world may encounter another pandemic in the near future.

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Acknowledgements

The author gratefully acknowledges the effort and support of Omer Ahmed Al Musalhi, Moath Mohammed Al Mamari, Rashid Said Al Ghafri when conducting this study and preparing the report. Moreover, thanks to the anonymous referees for their valuable comments that significantly improved the quality of the paper.

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    Sujan Piya

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Sujan Piya is currently working as an associate professor in the Department of Industrial Engineering and Engineering Management, College of Engineering, University of Sharjah (UOS), UAE. Prior to joining UOS, he has an extensive experience working at Sultan Qaboos University (Oman) and Hiroshima University (Japan). He holds a Ph.D. degree in industrial engineering from the Department of Artificial Complex Systems Engineering, Hiroshima University. His major research interests are in the area of production planning and control, supply chain management and process optimization. He has authored several research papers published in reputable journals and conference proceedings. He serves as a regular reviewer of many international journals. He has also served as guest editors for reputable journals.

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Piya, S. Analysis of Supply Chain Sustainability Drivers in the Oil and Gas Industry under Covid-19 Pandemic. J. Syst. Sci. Syst. Eng. 33, 131–161 (2024). https://doi.org/10.1007/s11518-024-5597-9

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