基于动物脂肪的生物柴油供应链网络的一种先进鲁棒可能性机会约束规划模型

IF 10.4 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Biswajit Sarkar , Shubham Kumar Singh , Anand Chauhan
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引用次数: 0

摘要

由于化石燃料的迅速消耗和能源需求的增加,对不可再生能源的需求也在增长。生物燃料可以在发动机中使用,无需修改,以减少空气污染和碳排放,是化石燃料的重要替代品。生物柴油可以从各种不可食用和可食用的生物质中生产。动物脂肪由于其易得和价格合理的特性,是一种合理的非食用资源替代品。此外,供应链网络在战略和战术规划层面的有效性受到罢工、自然灾害、运营停机和数据不确定性等中断风险的影响。本文提出了一种鲁棒可能性机会约束规划模型,用于不确定条件下动物脂肪生物柴油供应链网络的优化。该模型结合了战略和战术规划决策,同时考虑了潜在的中断和操作风险。生物柴油智能制造系统以可变的生产速率减少生物柴油中的污染物量,自主检测系统检测生物柴油中的污染物。生物柴油经过自然生产后,在生物精炼厂提纯。对生物柴油的需求取决于对生物柴油的认识效率及其销售价格。为了增强弹性,该研究引入了一个p-鲁棒算法,在破坏性情景下最大化盈利能力。分析了一个数值算例,数值算例的影响表明,当意识支出增加时,较低的销售价格和较低的意识效率;当意识支出减少时,较高的销售价格和较高的意识效率提高了系统的整体利润。设计的模型的发现对于决策者处理可持续生物柴油供应链网络和生物燃料生产行业的不确定性是有价值的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An advanced robust possibilistic chance-constrained programming model for the animal fat-based biodiesel supply chain network
The demand for non-renewable energy has grown due to rapidly depleting fossil fuels and rising energy demand. Biofuel can be utilized in engines without modification to reduce air pollution and carbon emissions and is a significant replacement for fossil fuels. Biodiesel can be produced from various inedible and edible biomass. Animal fat is a reasonable substitute among inedible resources due to its readily available and reasonably priced nature. Furthermore, the efficacy of the supply chain network at the strategic and tactical planning levels is compromised by risks of disruption due to labor strikes, natural disasters, operational downtime, and data uncertainty. This study proposes a robust possibilistic chance-constrained programming model for optimizing the animal fat-based biodiesel supply chain network under uncertainty. The model incorporates strategic and tactical planning decisions while accounting for potential disruptions and operational risks. The biodiesel smart manufacturing system reduces the amount of contaminants in the biodiesel with variable production rate, and an autonomation inspection system detects contaminants in the biodiesel. The biodiesel is purified in biorefineries after biodiesel natural manufacturing. The demand for biodiesel depends on the efficiency of awareness towards biodiesel and its selling price. To enhance resilience, the study introduces a p-robust algorithm that maximizes profitability under disruptive scenarios. A numerical example is analyzed, and the repercussions of the numerical example reveal that lower selling price and less awareness efficiency with more awareness expenditure and high selling price and awareness efficiency with less awareness expenditure increase the overall profit of the system. The findings of the designed model is valuable for policymakers to handle the uncertainty of a sustainable biodiesel supply chain network and biofuel production industry.
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来源期刊
Journal of Industrial Information Integration
Journal of Industrial Information Integration Decision Sciences-Information Systems and Management
CiteScore
22.30
自引率
13.40%
发文量
100
期刊介绍: The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers. The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.
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