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This content will become publicly available on February 4, 2019

Title: A multistage stochastic programming model for a multi-period strategic expansion of biofuel supply chain under evolving uncertainties

Here, we develop a multistage, stochastic mixed-integer model to support biofuel supply chain expansion under evolving uncertainties. By utilizing the block-separable recourse property, we reformulate the multistage program in an equivalent two-stage program and solve it using an enhanced nested decomposition method with maximal non-dominated cuts. We conduct extensive numerical experiments and demonstrate the application of the model and algorithm in a case study based on the South Carolina settings. The value of multistage stochastic programming method is also explored by comparing the model solution with the counterparts of an expected value based deterministic model and a two-stage stochastic model.
Authors:
 [1] ;  [2]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). National Transportation Research Center; Clemson Univ., SC (United States). Glenn Dept. of Civil Engineering
  2. Clemson Univ., SC (United States). Glenn Dept. of Civil Engineering
Publication Date:
Grant/Contract Number:
AC05-00OR22725
Type:
Accepted Manuscript
Journal Name:
Transportation Research Part E: Logistics and Transportation Review
Additional Journal Information:
Journal Volume: 111; Journal Issue: C; Journal ID: ISSN 1366-5545
Publisher:
Elsevier
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS; Enhanced nested decomposition; Uncertainty; Multistage stochastic programming; Biofuel supply chain
OSTI Identifier:
1423076