@book{98b05c33f3fd47efabb238ea98a38631,
title = "Optimizing the Lignocellulosic Biomass-to-Ethanol Supply Chain. A Case Study for the Midwestern United States",
abstract = "A mixed integer linear programming (MILP) problem formulation is proposed to optimize the net present value of a biomass-to-ethanol supply chain. Facility locations and capacities are determined simultaneously with biomass harvest and distribution. Sensitivity analysis and robustness are performed for a 9-state region of the United States case study to elucidate the impact of price uncertainty on a burgeoning biorefinery industry that may be affected by policy. Near term technology is favored for biomass collection and conversion to ethanol.",
keywords = "Biofuel, Biomass, Ethanol, Mixed integer programming, Supply chain design",
author = "{Alex Marvin}, W. and Schmidt, {Lanny D.} and Saif Benjaafar and Tiffany, {Douglas G.} and Prodromos Daoutidis",
year = "2011",
doi = "10.1016/B978-0-444-54298-4.50124-0",
language = "English (US)",
volume = "29",
series = "Computer Aided Chemical Engineering",
publisher = "Unknown Publisher",
}
