Impact of government policies on Sustainable Petroleum Supply Chain (SPSC): A case study – Part I (Models)

Davoud Ghahremanlou, W. Kubiak
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Abstract

Environmental concerns and energy security have led governments to establish legislations to convertConventional Petroleum Supply Chain (CPSC) to Sustainable Petroleum Supply Chain (SPSC). The United States(US), one of the biggest oil consumers in the world, has created regulations to manage ethanol production and con-sumption for the last half century. Though these regulations have created new opportunities, they have also added newburdens to the obligated parties. It is thus key for the government, the obligated parties, and related businesses to studythe impact of the policies on the SPSC. We develop a two-stage stochastic programming model, General Model (GM),which incorporates Renewable Fuel Standard 2 (RFS2), Tax Credits, Tariffs, and Blend Wall (BW) to study the policyimpact on the SPSC using cellulosic ethanol. The model, as any other general model available in the literature, makesit highly impractical to study the policy impact due to the model’s computational complexity. We use the GM to derivea Lean Model (LM) to study the impact by running computational experiments more efficiently and consequently byarriving at robust managerial insights much faster. We present a case study of the policy impact on the SPSC in theState of Nebraska using the LM in the accompanying part II (Ghahremanlou and Kubiak 2020).
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政府政策对可持续石油供应链(SPSC)的影响:案例研究-第一部分(模型)
环境问题和能源安全促使各国政府立法将传统石油供应链(CPSC)转变为可持续石油供应链(SPSC)。美国是世界上最大的石油消费国之一,在过去的半个世纪里,美国制定了管理乙醇生产和消费的法规。虽然这些规定创造了新的机会,但也给有义务的各方增加了新的负担。因此,研究政策对SPSC的影响是政府、义务方和相关企业的关键。我们开发了一个两阶段随机规划模型,通用模型(GM),该模型包含可再生燃料标准2 (RFS2)、税收抵免、关税和混合壁(BW),以研究政策对使用纤维素乙醇的SPSC的影响。由于模型的计算复杂性,该模型与文献中可用的任何其他通用模型一样,使得研究政策影响变得非常不切实际。我们使用通用模型来推导精益模型(LM),通过更有效地运行计算实验来研究影响,从而更快地获得强大的管理见解。在第二部分中,我们使用LM对内布拉斯加州SPSC的政策影响进行了案例研究(Ghahremanlou和Kubiak 2020)。
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