Competition and cooperation between supply chains in multi- objective petroleum green supply chain: A game theoretic approach N. Moradinasab a , M.R. Amin-Naseri a, * , Taraneh Jafari Behbahani b , Hassan Jafarzadeh c a Industrial Engineering, Tarbiat Modares University, Tehran, Iran b Research Institute of Petroleum Industry (RIPI), Exploration and Production Division, Tehran, Iran c Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA, USA article info Article history: Received 14 February 2016 Received in revised form 25 January 2017 Accepted 14 August 2017 Keywords: Game theory Sustainable competitive petroleum supply chain (SCPSC) Multi-objective Fuzzy abstract Petroleum Supply Chain is one of the most important and sophisticated managing missions in both developing and developed countries. Nowadays, environmental pollution is another critical factor in designing the petroleum supply chain. This importance encourages the governments to minimize the amount of environmental pollution and maximize their obtained prot simultaneously, by enacting required legislations on the transportation modes and the reneries. Considering maximizing the job creation and each stakeholder's prot, and minimizing the emission of CO 2 and other greenhouse gases at the same time is called Sustainable Petroleum Supply Chain which has been paid little attention despite its signicance. Therefore, the modelling of petroleum supply chain considering sustainability and pricing issues is investigated for the rst time in this work and a sustainable competitive petroleum supply chain (SCPSC) model is developed to minimize pollution while maximizing the prots and job creation. This problem is a two level model. The rst level in SCPSC is the competition between the supply chains of the government and the private sectors, which is modelled by the game theory approach including Nash and Stackelberg equilibria. The optimal price and demand for each supply chain deter- mined in the rst level are considered as the second level parameters. In the second level, the optimal values of the decisions in designing the petroleum supply chain will be obtained by solving Mixed Integer Linear Programming (MILP) under the mentioned three objective functions. Finally, the proposed model is applied to a real world case in the national Iranian oil company (NIOC). Based on the results of the Stackelberg equilibrium, the government prots increase by 11.12% while that of the private sector de- creases by 25.4 and 28.11%. Increasing in the government prot is due to increased demand provided by government. The results show that the whole prot of the petroleum supply chain in Nash equilibrium is 9.8% more than that in the Stackelberg equilibrium. © 2017 Published by Elsevier Ltd. 1. Introduction Although, sustainable supply chain is currently of interest to many researchers, the sustainability has not been paid much attention in Petroleum Supply Chain (PSC). According to the Carter and Rogers' sustainability denition the strategic, transparent integration and achievement of an organization's social, environ- mental, and economic goals is the systematic coordination of key inter-organizational business processes for improving the long term economic performance of the individual company and its supply chain(Carter and Rogers, 2008). Considering the following aims at the same time, sustainability is an inalienable part of the petroleum supply chain: Many environmental regulations have been enacted by the governments to reduce the environmental and pollution effects. Maximizing the prot of whole chain such as the other supply chains. Most of the governments enforce the stakeholders by enacting appropriate regulations to increase the created job in the chain. Beside of the sustainability, the competition is another impor- tant factor in the PSC. Because, different parts of a petroleum supply chain are controlled by different stakeholders and stakeholders' * Corresponding author. Tarbiat Modares University, Ale Ahmad Highway, Tehran, 14115-143, Iran. E-mail address: amin_nas@modares.ac.ir (M.R. Amin-Naseri). Contents lists available at ScienceDirect Journal of Cleaner Production journal homepage: www.elsevier.com/locate/jclepro https://doi.org/10.1016/j.jclepro.2017.08.114 0959-6526/© 2017 Published by Elsevier Ltd. Journal of Cleaner Production 170 (2018) 818e841