Source:http://linkedlifedata.com/resource/pubmed/id/20863690
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
2
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| pubmed:dateCreated |
2011-1-3
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| pubmed:abstractText |
This paper analyzed the uniqueness and challenges in designing the logistics system for dedicated biomass-to-bioenergy industry, which differs from the other industries, due to the unique features of dedicated biomass (e.g., switchgrass) including its low bulk density, restrictions on harvesting season and frequency, content variation with time and circumambient conditions, weather effects, scattered distribution over a wide geographical area, and so on. To design it, this paper proposed a mixed integer linear programming model. It covered from planting and harvesting switchgrass to delivering to a biorefinery and included the residue handling, concentrating on integrating strategic decisions on the supply chain design and tactical decisions on the annual operation schedules. The present numerical examples verified the model and demonstrated its use in practice. This paper showed that the operations of the logistics system were significantly different for harvesting and non-harvesting seasons, and that under the well-designed biomass logistics system, the mass production with a steady and sufficient supply of biomass can increase the unit profit of bioenergy. The analytical model and practical methodology proposed in this paper will help realize the commercial production in biomass-to-bioenergy industry.
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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:citationSubset |
IM
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| pubmed:chemical | |
| pubmed:status |
MEDLINE
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| pubmed:month |
Jan
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| pubmed:issn |
1873-2976
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| pubmed:author | |
| pubmed:copyrightInfo |
Copyright © 2010 Elsevier Ltd. All rights reserved.
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| pubmed:issnType |
Electronic
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| pubmed:volume |
102
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
1344-51
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| pubmed:meshHeading | |
| pubmed:year |
2011
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| pubmed:articleTitle |
Challenges and models in supporting logistics system design for dedicated-biomass-based bioenergy industry.
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| pubmed:affiliation |
Department of Industrial and Information Engineering, University of Tennessee, Knoxville, TN 37996, USA. xzhu5@utk.edu
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| pubmed:publicationType |
Journal Article
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