期刊
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
卷 94, 期 -, 页码 1-25出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tre.2016.07.004
关键词
Coal supply chain network; Multi-modal facilities; Sample average approximation; Progressive hedging algorithm; Rolling horizon heuristics
This study presents a two-stage stochastic programming model for the design and management of a biomass co-firing supply chain network under feedstock supply uncertainty. To represent a more realistic case, we generate scenarios from prediction errors of the historical and forecasted biomass supply availabilities. We solve the model using a hybrid decomposition algorithm that combines Sample average approximation with an enhanced Progressive hedging algorithm. The proposed algorithm is validated via a real-world case study using data from Mississippi and Alabama. Computational results indicate that the proposed algorithm is capable of producing high quality solutions in a reasonable amount of time. (C) 2016 Elsevier Ltd. All rights reserved.
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