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面对生物燃料供应链网络的不确定性:系统性文献审查
Farhad Habibi1, Ripon K Chakrabortty2, Alireza Abbasi2
1School of Systems and Computing, UNSW Canberra, Canberra, ACT-2610, Australia. f.habibi@adfa.edu.au.
Environmental science and pollution research international
|September 2, 2023
概括
管理生物燃料供应链 (BSC) 的不确定性需要先进的方法. 本次审查突出了研究缺口,特别是在机器学习和基于代理的模拟中,用于更具弹性的BSC.
科学领域:
- 供应链管理 供应链管理
- 运营研究 运营研究
- 可持续性科学 可持续性科学
背景情况:
- 生物燃料供应链 (BSC) 越来越复杂,面临着重大不确定性.
- 关于BSC不确定性的现有研究需要全面审查,以确定局限性和未来方向.
研究的目的:
- 提供关于管理生物燃料供应链不确定性的研究的全面审查.
- 确定当前方法论的局限性,并突出关键的研究差距.
- 建议未来的研究方向,以提高BSC的弹性.
主要方法:
- 使用系统审查和元分析 (PRISMA) 方法首选报告项目进行系统文献审查.
- 分析了205篇选定的论文,重点关注一般信息,方法和局限性.
- 确定研究缺口和未来方向.
主要成果:
- 机器学习技术在BSC中不足用于风险识别,需求预测和参数估计.
- 对基于代理的模拟进行有限的探索,以分析弹性政策和评估新兴技术的影响.
- 在当前的BSC模型中,忽略了诸如反向流,横向转运和效应等现实的假设.
结论:
- 在管理BSC不确定性方面存在重大研究差距,特别是在先进的计算方法方面.
- 进一步研究机器学习,基于代理的模拟和现实的供应链动态对于提高BSC弹性至关重要.
- 本综述为决策者和研究人员提供了见解,以解决BSC不确定性管理的局限性和促进创新.
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