Abstract
This work aims to address the problem of green supply chain planning in the petroleum industry. Our primary objective is to minimize the total cost of crude, refinery, and petrochemical sectors and meet environmental regulations. It presents an optimization model for planning the supply chain. Furthermore, the study examines the impact of incorporating investment decisions in different carbon emission reduction options and evaluating the supply chain performance based on the economic and environmental dimensions. A novel mixed-integer linear programming model is developed to assess the impact of introducing a stringent environmental regulation limiting greenhouse gas emissions. Experimental results based on the Libyan petroleum industry are analyzed and demonstrate model capabilities to deal with the trade-off between the total cost and environmental issues. A sensitivity analysis is carried out on some parameters to design a mitigation plan to manage the environmental risks. This study shows that it is possible to reduce carbon emissions by up to 32% if the carbon capture and storage projects are implemented in the petroleum sector. However, if the reduction objective is more than 32% for the next 20 years, it is necessary to implement green (solar) energies in extraction, refineries, and petrochemical plants.
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