title: Robust optimization on sustainable biodiesel supply chain produced from waste cooking oil under price uncertainty.
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.
authors.affiliation: School of Transportation, Southeast University, Jiangsu, Nanjing 210096, China. Electronic address: zhangyong@seu.edu.cn.
authors.forename: Yong
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: School of Transportation, Southeast University, Jiangsu, Nanjing 210096, China. Electronic address: jyj402@163.com.
authors.forename: Yunjian
authors.initials: Y
authors.lastname: Jiang
mesh_terms: D056804:Biofuels / Q000032:analysis*; D002681:China; D002947:Cities; D003132:Commerce; D003296:Cooking; D010938:Plant Oils / Q000032:analysis*; D035501:Uncertainty; D018505:Waste Management; D014866:Waste Products / Q000032:analysis*
chemical_list: D056804:Biofuels; D010938:Plant Oils; D014866:Waste Products
keywords: Mixed integer linear programming; Robust optimization; Supply chain; Sustainable; Waste cooking oil