Multi-objective programming for designing sustainable biogas supply chain: a case study in North Dakota, USA

IF 1.7 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Business Analytics Pub Date : 2022-07-03 DOI:10.1080/2573234X.2022.2103040
Yuan Xu, Y. Park, O. Jadidi, John S. Loucks, Joseph G. Szmerekovsky
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Abstract

ABSTRACT This study considers the environmental and social impacts of an animal waste sourced biogas supply chain, along with economic factors for making tactical and strategic decisions. A multi-objective optimisation model is introduced to determine: 1) the best locations and capacities of biogas plants to treat cattle manure from dairy farms, and 2) the best transportation assignments from each farm to a subset of the opened biogas plants. This study formulates three objectives that include minimising total supply chain cost, carbon emissions, and social rejection. An augmented ε-constraint method is employed as a solution approach to solve the multi-objective problem. The results indicate the implementation of the proposed optimisation model has the potential to provide significant economic, environmental, and social benefits. In addition, the study finds that the allowed maximum transport distance contributes to the number and size of biogas plants used.
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可持续沼气供应链设计的多目标规划——以美国北达科他州为例
本研究考虑了动物粪便来源的沼气供应链的环境和社会影响,以及制定战术和战略决策的经济因素。引入了一个多目标优化模型来确定:1)沼气池处理牛粪的最佳位置和能力;2)从每个农场到一个开放的沼气池子集的最佳运输分配。本研究制定了三个目标,包括最小化供应链总成本、碳排放和社会排斥。采用增广ε约束方法求解多目标问题。结果表明,实施所提出的优化模型有可能提供显著的经济、环境和社会效益。此外,研究发现,允许的最大运输距离对沼气厂的数量和规模有影响。
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来源期刊
Journal of Business Analytics
Journal of Business Analytics Business, Management and Accounting-Management Information Systems
CiteScore
2.50
自引率
0.00%
发文量
13
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