A Multi-Objective Optimization Model for Energy Allocation and Petroleum Products Distribution in Green Supply Chains (Case Study of IRAN National Petroleum Corporation MIANDOB)

Abstract

Abstract The oil industry plays an important role in global energy demand. Oil and other fossil fuels have been a major cause of environmental and global warming for decades. Many industries need oil as a major energy source, and it is important to minimize the environmental impact of oil( minimizing greenhouse gas (GHG)) and maximize its benefits Petroleum Revenue Management Act (PRMA). The environmental impact of the oil industry is the emission of gases such as carbon dioxide, sulfur dioxide, and nitrogen oxide, which directly and indirectly affect the environment.So it is important, creating a green supply chain network(GSCN) model that pursues several goals.This study presents a multi-objective optimization model for energy allocation and petroleum product distribution in green supply chains.For this purpose a multi-objective mixed-integer programming (MIP) model is formulated to develop. The proposed model is designed a green supply chain(GSC) to reduce oil company costs and greenhouse gas(GHG) emissions under uncertain demand. We solve the proposed model with GAMS and present a case study to IRAN National Petroleum Corporation(INPC) MIANDOAB demonstrate the applicability and exhibit efficacy of the proposed model.