Skip to main content
Intended for healthcare professionals
Restricted access
Research article
First published online January 1, 2010

Analyzing Impact of Intermodal Facilities on Design and Management of Biofuel Supply Chain

Abstract

The impact of an intermodal facility on location and transportation decisions for biofuel production plants is analyzed. Location decisions affect the management of the inbound and outbound logistics of a plant. This supply chain design and management problem is modeled as a mixed integer program. Input data for this model are location of intermodal facilities and available transportation modes, cost and cargo capacity for each transportation mode, geographical distribution of biomass feedstock and production yields, and biomass processing and inventory costs. Outputs from this model are the number, location, and capacity of biofuel production plants. For each plant, the transportation mode used, timing of shipments, shipment size, inventory size, and production schedule that minimize the delivery cost of biofuel are determined. The model proposed in this research can be used as a decision-making tool for investors in the biofuels industry since it estimates the real cost of the business. The state of Mississippi is considered as the testing grounds for the model.

Get full access to this article

View all access and purchase options for this article.

References

1. Renewable Fuel Standard Program. U.S. Environmental Protection Agency. http://www.epa.gov/otaq/fuels/renewablefuels/index.htm. Accessed July 1, 2009.
2. Ethanol Transportation Backgrounder: Expansion of U.S. Corn-based Ethanol from the Agricultural Transportation Perspective. Agricultural Marketing Service, U.S. Department of Agriculture, 2007. http://www.ams.usda.gov/AMSv1.0/getfile?dDocName=STELPRDC5063605&acct=atpub. Accessed July 1, 2009.
3. Austin A. North Star Container Ships DDGS to Europe, Asia. Ethanol Producer Magazine, Oct. 2008. http://www.ethanolproducer.com/article.jsp?article_id=4802. Accessed July 1, 2009.
4. Driven by Demand: Investor Presentation. Pacific Ethanol, Inc., Sacramento, Calif., Nov. 2008. http://www.pacificethanol.net/site/_documents/presentations/PEIX_Investor_Presentation_11.2008.pdf. Accessed July 1, 2009.
5. Mahmudi H., and Flynn P. C. Rail vs Truck Transport of Biomass. Applied Biochemistry and Biotechnology, Vol. 129, No. 1, 2006, pp. 88–106.
6. Fisher M. L. What Is the Right Supply Chain for Your Product? Harvard Business Review, Mar-Apr, 1997, pp. 105–116.
7. Harris G. A. Alignment of Supply Chain Strategy with Product Characteristics. PhD dissertation. University of Alabama, Huntsville, 2007.
8. Francis R. L., and Mirchandani P. B. Discrete Location Theory. John Wiley and Sons, New York, 1990.
9. Ro H., and Tcha D. A Branch-and-Bound Algorithm for the Two-Level Uncapacitated Facility Location Problem. European Journal of Operational Research, Vol. 18, 1984, pp. 349–358.
10. Geoffrion A., and Bride R. Lagrangean Relaxation Applied to Capacitated Facility Location Problems. IIE Transactions, Vol. 10, No. 1, 1978, pp. 40–47.
11. Ahuja R., Orlin J. B., Pallottino S., Scaparra M. P., and Scutella M. G. A Multi-Exchange Heuristic for the Single-Source Capacitated Facility Location Problem. Management Science, Vol. 50, No. 6, 2004, pp. 749–760.
12. Federgruen A. Centralized Planning Models for Multi-Echelon Inventory Systems Under Uncertainty. In Logistics of Production and Inventory (Graves S., Rinnooy Kan A., and Zipkin P., eds.), North-Holland, Amsterdam, Netherlands, 1993, pp. 133–173.
13. Pirkul H., and Jayaraman V. A Multi-Commodity, Multi-Plant, Capacitated Facility Location Problem: Formulation and Efficient Heuristic Solution. Computers and Operations Research, Vol. 25, No. 10, 1998, pp. 869–878.
14. Beamon B. M. Supply Chain Design and Analysis: Models and Methods. International Journal of Production Economics, Vol. 55, No. 3, 1998, pp. 281–294.
15. Melo M. T., Nickel S., and Saldanha-da-Gama F. Facility Location and Supply Chain Management: A Review. European Journal of Operational Research, Vol. 196, 2009, pp. 401–412.
16. Keskin B. B., and Uster H. Meta-Heuristic Approaches with Memory and Evolution for a Multi-Product Production/Distribution System Design Problem. European Journal of Operational Research, Vol. 182, 2007, pp. 663–682.
17. Syarif A., Yun Y. S., and Gen M. Study on Multi-Stage Logistic Chain Network: A Spanning Tree-Based Genetic Algorithm Approach. Computers and Industrial Engineering, Vol. 43, 2002, pp. 299–314.
18. Ahumada O., and Villalobos J. R. Application of Planning Models in the Agri-Food Supply Chain: A Review. European Journal of Operational Research, Vol. 195, 2009, pp. 1–20.
19. Schmidt J., Leduc S., Dotzauer E., Kindermann G., and Schmid E. Optimizing the Supply Chain of Biofuels Including the Use of Waste Process Heat: An Austrian Case Study. Institute of Sustainable Economic Development, University of Applied Life Sciences, Vienna, Austria, 2008. http://oega.boku.ac.at/fileadmin/user_upload/Tagung/2008/Short_Paper_2008/Schmidt_et_al_OEGA2008_Tagungsband.pdf. Accessed July 1, 2009.
20. Sokhansanj S., Kumar A., and Turhollow A. F. Development and Implementation of Integrated Biomass Supply Analysis and Logistics Model (IBSAL). Biomass and Bioenergy, Vol. 30, 2006, pp. 838–847.
21. Nierengarten K. Economic Impact of Ethanol Production. 2007. http://medialab.blogs.com/our_ethanol_debate/2007/03/economic_impact.html, Accessed Nov. 1, 2009.
22. Wallace R., and Ibsen K. Feasibility Study for Co-Locating and Integrating Ethanol Production Plants from Corn Starch and Lignocellulosic Feedstocks. NREL/TP-510-37092. U.S. Department of Agriculture; U.S. Department of Energy, 2005.
23. Aden A., Ruth M., Ibsen K., Jechura J., Neeves K., Sheehan J., and Wallace B. Lignocellulosic Biomass to Ethanol Process Design and Economics Utilizing Co-Current Dilute Acid Prehydrolysis and Enzymatic Hydrolosis for Corn Stover. NREL/TP-510-32438. U.S. Department of Agriculture; U.S. Department of Energy, 2002.
24. Truck Transportation. Agricultural Marketing Service, U.S. Department of Agriculture, 2008. http://www.ams.usda.gov/AMSv1.0/getfile?dDocName=STELPRDC5069739&acct=graintransrpt. Accessed July 1, 2009.
25. Ekşioğlu S. D., Acharya A., Leightley L. E., and Arora S. Analyzing the Design and Management of Biomass-to-Biorefinery Supply Chain. Computers and Industrial Engineering, Vol. 57, 2009, pp. 1342–1352.

Cite article

Cite article

Cite article

OR

Download to reference manager

If you have citation software installed, you can download article citation data to the citation manager of your choice

Share options

Share

Share this article

Share with email
EMAIL ARTICLE LINK
Share on social media

Share access to this article

Sharing links are not relevant where the article is open access and not available if you do not have a subscription.

For more information view the Sage Journals article sharing page.

Information, rights and permissions

Information

Published In

Article first published online: January 1, 2010
Issue published: January 2010

Rights and permissions

© 2010 National Academy of Sciences.
Request permissions for this article.

Authors

Affiliations

Sandra D. EkşioğLu
Department of Industrial and Systems Engineering, P.O. Box 9542, McCain Engineering Building, Mississippi State University, Mississippi State, MS 39762.
Song Li
Department of Industrial and Systems Engineering, P.O. Box 9542, McCain Engineering Building, Mississippi State University, Mississippi State, MS 39762.
Shu Zhang
Department of Industrial and Systems Engineering, P.O. Box 9542, McCain Engineering Building, Mississippi State University, Mississippi State, MS 39762.
Shahabaddine Sokhansanj
Bioenergy Resource and Engineering Systems Environmental Sciences Division, Oak Ridge National Laboratory, One Bethel Valley Road, Oak Ridge, TN 37830-8050.
Daniel Petrolia
Department of Agricultural Economics, Mailstop 9755, 203 Howell Engineering Building, Mississippi State University, Mississippi State, MS 39762.

Notes

Metrics and citations

Metrics

Journals metrics

This article was published in Transportation Research Record: Journal of the Transportation Research Board.

VIEW ALL JOURNAL METRICS

Article usage*

Total views and downloads: 124

*Article usage tracking started in December 2016


Altmetric

See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores



Articles citing this one

Receive email alerts when this article is cited

Web of Science: 0

Crossref: 62

  1. Revenue maximization and pricing: an ethanol supply chain and logistic...
    Go to citation Crossref Google Scholar
  2. A review on decision support systems for tactical logistics planning i...
    Go to citation Crossref Google Scholar
  3. Biomass supply chain equipment for renewable fuels production: A revie...
    Go to citation Crossref Google Scholar
  4. Biomass bales infield aggregation logistics energy for tractors and au...
    Go to citation Crossref Google Scholar
  5. Biomass supply chain environmental and socio-economic analysis: 40-Yea...
    Go to citation Crossref Google Scholar
  6. A Review on Optimization Methods for Biomass Supply Chain: Models and ...
    Go to citation Crossref Google Scholar
  7. Application of Methods for Scheduling Tasks in the Production of Biofu...
    Go to citation Crossref Google Scholar
  8. Biorefinery: A Concept for Co-producing Biofuel with Value-Added Produ...
    Go to citation Crossref Google Scholar
  9. Data-driven robust optimization for wastewater sludge-to-biodiesel sup...
    Go to citation Crossref Google Scholar
  10. Study of optimal locations for new sugarcane mills in Brazil: Applicat...
    Go to citation Crossref Google Scholar
  11. Managing congestion in a multi-modal transportation network under biom...
    Go to citation Crossref Google Scholar
  12. Green, Blue and Grey Bioenergy Water Footprints, a Comparison of Feeds...
    Go to citation Crossref Google Scholar
  13. Biomass logistics: A review of important features, optimization modeli...
    Go to citation Crossref Google Scholar
  14. A multi-stage stochastic program for the sustainable design of biofuel...
    Go to citation Crossref Google Scholar
  15. Biomass feedstock supply chain design – a taxonomic review and a decom...
    Go to citation Crossref Google Scholar
  16. Designing a bio-fuel network considering links reliability and risk-po...
    Go to citation Crossref Google Scholar
  17. Development of a decision support tool for optimizing the short-term l...
    Go to citation Crossref Google Scholar
  18. A GENERIC TACTICAL PLANNING MODEL TO SUPPLY A BIOREFINERY WITH BIOMASS
    Go to citation Crossref Google Scholar
  19. Cost optimization of biofuel production – The impact of scale, integra...
    Go to citation Crossref Google Scholar
  20. Designing a Reliable and Dynamic Multimodal Transportation Network for...
    Go to citation Crossref Google Scholar
  21. Managing congestion in supply chains via dynamic freight routing: An a...
    Go to citation Crossref Google Scholar
  22. A multi-objective, hub-and-spoke model to design and manage biofuel su...
    Go to citation Crossref Google Scholar
  23. Strategic Supply Chain Planning in Biomass-Based Industries: A Literat...
    Go to citation Crossref Google Scholar
  24. Biomass supply chain network design: An optimization-oriented review a...
    Go to citation Crossref Google Scholar
  25. Logistics cost analysis of rice straw pellets for feasible production ...
    Go to citation Crossref Google Scholar
  26. A hybrid decomposition algorithm for designing a multi-modal transport...
    Go to citation Crossref Google Scholar
  27. Biomass-Based Production of Benzene, Toluene, and Xylenes via Methanol...
    Go to citation Crossref Google Scholar
  28. Supply Chain Design and Management for Syngas Production
    Go to citation Crossref Google Scholar
  29. Models for optimization and performance evaluation of biomass supply c...
    Go to citation Crossref Google Scholar
  30. Biofuel Supply Chain Network Design and Operations
    Go to citation Crossref Google Scholar
  31. Biomass and biofuel supply chain modeling and optimization
    Go to citation Crossref Google Scholar
  32. System of Systems Model for Analysis of Biofuel Development
    Go to citation Crossref Google Scholar
  33. Value chain analysis of bio-coal business in Finland: Perspectives fro...
    Go to citation Crossref Google Scholar
  34. Truck versus pipeline transportation cost analysis of wastewater sludg...
    Go to citation Crossref Google Scholar
  35. Optimal Allocation of Lignocellulosic Biomass Feedstocks for Biofuel P...
    Go to citation Crossref Google Scholar
  36. Strategic planning optimization for natural gas to liquid transportati...
    Go to citation Crossref Google Scholar
  37. An exact solution approach based on column generation and a partial-ob...
    Go to citation Crossref Google Scholar
  38. Analysis of an imperfectly competitive cellulosic biofuel supply chain
    Go to citation Crossref Google Scholar
  39. An Economic Analysis of the Future U.S. Biofuel Industry, Facility Loc...
    Go to citation Crossref Google Scholar
  40. Simulation modeling framework for uncovering system behaviors in the b...
    Go to citation Crossref Google Scholar
  41. Analyzing the impact of intermodal-related risk to the design and mana...
    Go to citation Crossref Google Scholar
  42. A facility-location model for biofuel plants: Applications in the Colo...
    Go to citation Crossref Google Scholar
  43. Analyzing the impacts of carbon regulatory mechanisms on supplier and ...
    Go to citation Crossref Google Scholar
  44. Biomass-to-bioenergy and biofuel supply chain optimization: Overview, ...
    Go to citation Crossref Google Scholar
  45. Energy Supply Chain Optimization of Hybrid Feedstock Processes: A Revi...
    Go to citation Crossref Google Scholar
  46. Optimization of Resilient Biofuel Infrastructure Systems under Natural...
    Go to citation Crossref Google Scholar
  47. Modeling of biomass-to-energy supply chain operations: Applications, c...
    Go to citation Crossref Google Scholar
  48. Methods to optimise the design and management of biomass-for-bioenergy...
    Go to citation Crossref Google Scholar
  49. Integrating multimodal transport into cellulosic biofuel supply chain ...
    Go to citation Crossref Google Scholar
  50. A supply chain network design model for biomass co-firing in coal-fire...
    Go to citation Crossref Google Scholar
  51. Supply chain design and operational planning models for biomass to dro...
    Go to citation Crossref Google Scholar
  52. Hardwood Biomass to Gasoline, Diesel, and Jet Fuel: 1. Process Synthes...
    Go to citation Crossref Google Scholar
  53. Hardwood Biomass to Gasoline, Diesel, and Jet Fuel: 2. Supply Chain Op...
    Go to citation Crossref Google Scholar
  54. A Sequential Fast Pyrolysis Facility Location-Allocation Model
    Go to citation Crossref Google Scholar
  55. Biomass to liquid transportation fuels (BTL) systems: process synthesi...
    Go to citation Crossref Google Scholar
  56. Design under uncertainty of hydrocarbon biorefinery supply chains: Mul...
    Go to citation Crossref Google Scholar
  57. Methods for optimally locating a forest biomass-to-biofuel facility
    Go to citation Crossref Google Scholar
  58. Hybrid and single feedstock energy processes for liquid transportation...
    Go to citation Crossref Google Scholar
  59. Bioethanol supply chain system planning under supply and demand uncert...
    Go to citation Crossref Google Scholar
  60. An Economic Analysis of the Future U.S. Biofuel Industry, Facility Loc...
    Go to citation Crossref Google Scholar
  61. A mathematical model to design a lignocellulosic biofuel supply chain ...
    Go to citation Crossref Google Scholar
  62. Biofuel and petroleum-based fuel supply chain research: A literature r...
    Go to citation Crossref Google Scholar

Figures and tables

Figures & Media

Tables

View Options

Get access

Access options

If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:


Alternatively, view purchase options below:

Purchase 24 hour online access to view and download content.

Access journal content via a DeepDyve subscription or find out more about this option.

View options

PDF/ePub

View PDF/ePub