通过智能供应链管理实现碳中和:石油行业的CE当务之急

Abaid Ullah Yousaf, M. Hussain, T. Schoenherr
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引用次数: 3

摘要

由于炼油厂仅固定燃烧源就贡献了68%的二氧化碳排放,智能技术和资源循环优化的循环经济(CE)模型可以成为碳中和的解决方案,特别是在石油行业。因此,本研究旨在探索通过绿色技术改进节能作为资源循环优化和数字化整合的CE策略,以最大限度地提高再处理铅能力率和碳中和效益。设计/方法/途径在政府总量管制与交易制度下,采用具有Stackelberg均衡的博弈论方法来刺激绿色技术的改进。炼油厂作为Stackelberg的领导者,投资绿色技术,零售商作为Stackelberg的追随者,收取报废润滑油的退款价格,并向在智能技术中发挥重要作用的制造商提供两部分关税合同。研究发现:第一,绿色技术改进直接受到后处理能力、退款价格和数字技术的影响。其次,一个由两部分组成的关税合同在零售商有限的再处理能力下协调供应链。最后,政府可以根据意愿改变许可价格,有效地操纵绿色技术的发展。研究的局限性/影响主要的局限性是本研究的重点是石油部门,数据来自单一国家的炼油厂。总体而言,本研究为政策制定者提供了如何利用节能智能技术进行润滑油后处理的经验指导,使资源优化成为石油行业CE战略的一部分,并推进可持续发展目标。独创性/价值建议的模型通过智能技术和政府限额与交易法规的扩展作用,回应了与石油部门二氧化碳排放和CE倡议相关的当代文献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Achieving carbon neutrality with smart supply chain management: a CE imperative for the petroleum industry
PurposeWith refineries contributing 68% of CO2 emissions from stationary combustion sources alone, smart technologies and the circular economy (CE) model for resource loop optimization can be a solution for carbon neutrality, especially within petroleum. Thus, this study aims to explore energy conservation by green technology improvement as a CE strategy for resource loop optimization and digital incorporation to maximize reprocessing lead ability rate and carbon-neutral benefits.Design/methodology/approachA game theory approach with Stackelberg equilibrium is considered under government cap-and-trade regulation to stimulate green technology improvement. The refinery acts as a Stackelberg leader and invests in green technology and the retailer as the Stackelberg follower, collects end-of-life lubricants against refund price and offers a two-part-tariff contract to the manufacturer having a significant role in smart technologies.FindingsFirst, green technology improvement is directly influenced by the reprocessing capability and refund price and digital technologies are significant to consider. Second, a two-part-tariff contract coordinates the supply chain for limited reprocessing capability by the retailer. Lastly, the government can effectively manipulate the development of green technology by changing the permit price depending on the intentions.Research limitations/implicationsThe primary limitation is this study has focused on the petroleum sector and data was referenced from the oil refineries of a single country.Practical implicationsOverall, this study provides empirical guidance for policymakers on how to leverage energy-efficient smart technologies for lubricant reprocessing, enabling resource optimization as part of a CE strategy in the petroleum industry and advancing sustainable development goals.Originality/valueThe suggested model responds to the contemporary literature related to CO2 emissions and CE initiatives across the petroleum sector with the extended role of smart technologies and government cap-and-trade regulations.
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