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价格不确定下基于废食用油的可持续生物柴油供应链的鲁棒优化

Robust optimization on sustainable biodiesel supply chain produced from waste cooking oil under price uncertainty.

作者信息

Zhang Yong, Jiang Yunjian

机构信息

School of Transportation, Southeast University, Jiangsu, Nanjing 210096, China.

出版信息

Waste Manag. 2017 Feb;60:329-339. doi: 10.1016/j.wasman.2016.11.004. Epub 2016 Nov 12.

Abstract

Waste cooking oil (WCO)-for-biodiesel conversion is regarded as the "waste-to-wealthy" industry. This paper addresses the design of a WCO-for-biodiesel supply chain at both strategic and tactical levels. The supply chain of this problem is studied, which is based on a typical mode of the waste collection (from restaurants' kitchen) and conversion in the cities. The supply chain comprises three stakeholders: WCO supplier, integrated bio-refinery and demand zone. Three key problems should be addressed for the optimal design of the supply chain: (1) the number, sizes and locations of bio-refinery; (2) the sites and amount of WCO collected; (3) the transportation plans of WCO and biodiesel. A robust mixed integer linear model with muti-objective (economic, environmental and social objectives) is proposed for these problems. Finally, a large-scale practical case study is adopted based on Suzhou, a city in the east of China, to verify the proposed models.

摘要

将废弃食用油转化为生物柴油被视为“变废为宝”产业。本文从战略和战术层面探讨了废弃食用油转化为生物柴油供应链的设计。研究了该问题的供应链,其基于城市中典型的废弃食用油收集(来自餐馆厨房)和转化模式。该供应链包括三个利益相关者:废弃食用油供应商、综合生物炼油厂和需求区域。为实现供应链的优化设计,应解决三个关键问题:(1)生物炼油厂的数量、规模和位置;(2)废弃食用油的收集地点和数量;(3)废弃食用油和生物柴油的运输计划。针对这些问题,提出了一个具有多目标(经济、环境和社会目标)的鲁棒混合整数线性模型。最后,基于中国东部城市苏州进行了大规模实际案例研究,以验证所提出的模型。

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