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

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.

Keywords: Mixed integer linear programming; Robust optimization; Supply chain; Sustainable; Waste cooking oil.

MeSH terms

  • Biofuels / analysis*
  • China
  • Cities
  • Commerce
  • Cooking*
  • Plant Oils / analysis*
  • Uncertainty
  • Waste Management*
  • Waste Products / analysis*

Substances

  • Biofuels
  • Plant Oils
  • Waste Products