期刊
ENERGIES
卷 11, 期 7, 页码 -出版社
MDPI
DOI: 10.3390/en11071682
关键词
biofuel supply chain network; multi-modal facilities; constraint generation algorithm; rolling horizon heuristic
资金
- Pacific Northwest National Laboratory, under US Department of Energy [DE-AC05-76RL01830]
This study presents a mathematical model that designs a reliable multi-modal transportation network for a biofuel supply chain system while site-dependent facility failure and congestion are taken into consideration. The proposed model locates the multi-modal facilities and biorefineries and determines the optimal production, storage, and routing plans in such a way that the overall system cost is minimized. We propose a hybrid Constraint generation-based Rolling horizon algorithm to solve this challenging NP-hard problem. The performance of this algorithm is tested in a example case study with numerical analysis showing that the hybrid algorithm can find near-optimal solutions to large-scale problem instances in a reasonable amount of time. Results indicate that the effect of congestion reduces the usage of multi-modal facilities in the biofuel supply chain network while bio-refineries and multi-modal facilities tend to move away from coastal areas when disruption probabilities are taken into consideration.
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