A Green-Resilient Assessment of Industrial Developments in Persian Gulf (Case Study: Natural Gas Production)

Authors

  • Gholamreza jamali Assistant Prof, Faculty of Business and Economics, Persian Gulf University, Bushehr, Iran
  • Hadi Baloui Jamkhane Assistant Prof, Faculty of Business and Economics, Persian Gulf University, Bushehr, Iran
  • mohamad hasan hemati tahoune Ph.D. Student in industrial Management, Faculty of Business and Economics Sciences, Persian Gulf University, Bushehr, Iran
Abstract:

Growing global demand for energy, result in depletion of easily access source of fossil fuels. To fulfillment of this huge demand, oil and gas industry expanded to develop offshore oil and gas reservoirs in recent years, which made environmental management challenging. IRAN owns one of the biggest offshore gas reservoir in PERSIAN GULF with high geopolitical and financial importance. Along the exploration and production of oil and gas, different environmental impacts may occur including indirect & direct physical disturbances, which highlight the importance of green supply chain management. Beside the environmental issues, due to heavy investment on south pars gas field, risk assessment is an inherent part of supply chain management. To mitigate the risk and overcome successfully with disturbances the term of “resiliency “has recently attracted much attention among supply chain managers. In the field of supply chain management, resiliency may be explicated as the ability of supply chains to return to normal conditions after a disruption. The focus of this study is to enhance the level of greenness and resiliency of natural gas supply chain in IRAN. For this purpose, a local natural gas supply chain, which encompasses 3 gas well platforms, 5 refineries and 6 compressor stations is considered. A fuzzy MCDM method is then used to indicate the level of resiliency and greenness of each entity in natural gas supply chain. finally the facilities with higher GRI (Green-Resilient Index) is proposed to remain in chain. The results show that the proposed technique can be used as a tool for organizations to evaluate a supply chain network structure regarding the greenness & resilience aspects.

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Journal title

volume 9  issue 32

pages  40- 0

publication date 2018-06

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