Life cycle cost optimization of biofuel supply chains under uncertainties based on interval linear programming

Jingzheng Ren, Liang Dong, Lu Sun, Michael Evan Goodsite, Shiyu Tan, Lichun Dong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

27 Citations (Scopus)


The aim of this work was to develop a model for optimizing the life cycle cost of biofuel supply chain under uncertainties. Multiple agriculture zones, multiple transportation modes for the transport of grain and biofuel, multiple biofuel plants, and multiple market centers were considered in this model, and the price of the resources, the yield of grain and the market demands were regarded as interval numbers instead of constants. An interval linear programming was developed, and a method for solving interval linear programming was presented. An illustrative case was studied by the proposed model, and the results showed that the proposed model is feasible for designing biofuel supply chain under uncertainties.
Original languageEnglish
Pages (from-to)6-13
Number of pages8
JournalBioresource Technology
Publication statusPublished - 1 Jul 2015
Externally publishedYes


  • Bioethanol
  • Interval linear programming
  • Life cycle cost
  • Supply chain
  • Uncertainty

ASJC Scopus subject areas

  • Bioengineering
  • Environmental Engineering
  • Renewable Energy, Sustainability and the Environment
  • Waste Management and Disposal

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