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

pmid: 25827247
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.
- University of Padua Italy
- Chongqing University China (People's Republic of)
- National Institute for Environmental Studies Japan
- National Institute for Environmental Studies Japan
- University of Southern Denmark Denmark
Conservation of Natural Resources, Internationality, Models, Statistical, Programming, Linear, Models, Economic, Biofuels, Costs and Cost Analysis, Income, Industry, Computer Simulation
Conservation of Natural Resources, Internationality, Models, Statistical, Programming, Linear, Models, Economic, Biofuels, Costs and Cost Analysis, Income, Industry, Computer Simulation
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).40 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
