  Petroleum industry is the world's biggest energy source, and its associated
industries such as production, distribution, refining and retail are considered
as the largest ones in the world. Having the increasing price and governments
job creation and international environmental policies, the petroleum companies
try to maximize the number of created job, and their profit and minimize the
air pollution simultaneously. To meet these objectives, an effective detailed
and precise planning is needed. On the other hand, the dynamic environment and
the presence of various stakeholders add to the complexity of planning and
design of petroleum supply chain. Therefore, the multi-period, multi-objective,
multi-level and multi-product dynamic sustainable competitive petroleum supply
chain (DSCPSC) model taking into consideration the various stakeholders have
been proposed in this paper. The proposed model is an MILP model and GAMS
24.1.2 software has been used to run it for a part of real petroleum supply
chain data. Sensitivity analysis was then performed to determine the
sensitivity of the results to the variation of the coefficients in objective
function. Sensitivity analysis reveals that the highest variations of the
objective function were observed with respect to the variable costs, facility
installation costs and pipeline transportation costs.
