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Reliable Biomass Supply Chain Design under Feedstock Seasonality and Probabilistic Facility Disruptions

doi: 10.3390/en10111895
While biomass has been recognized as an important renewable energy source which has a range of positive impacts on the economy, environment, and society, the existence of feedstock seasonality and risk of service disruptions at collection facilities potentially compromises the efficiency and reliability of the energy supply system. In this paper, we consider reliable supply chain design for biomass collection against feedstock seasonality and time-varying disruption risks. We optimize facility location, inventory, biomass quantity, and shipment decisions in a multi-period planning horizon setting. A real-world case in Hubei, China is studied to offer managerial insights. Our computational results show that: (1) the disruption risk significantly affects both the optimal facility locations and the supply chain cost; (2) no matter how the failure probability changes, setting backup facilities can significantly decrease the total cost; and (3) the feedstock seasonality does not affect locations of the collection facilities, but it affects the allocations of collection facilities and brings higher inventory cost for the biomass supply chain.
- National Center for Supercomputing Applications Bulgaria
- University of Illinois Urbana-Champaign United States
- University of Illinois Urbana-Champaign United States
- University of Illinois at Urbana Champaign United States
- Huazhong University of Science and Technology China (People's Republic of)
Technology, biomass, facility location, seasonality, T, disruption risk, inventory, supply chain, biomass; supply chain; inventory; facility location; seasonality; disruption risk
Technology, biomass, facility location, seasonality, T, disruption risk, inventory, supply chain, biomass; supply chain; inventory; facility location; seasonality; disruption risk
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).31 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%
