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A Spreadsheet Decision Support Optimization Model for Railcar Storage at Canadian Pacific Railway

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Author
Balakrishnan, Jaydeep
Espey, Renae Lorelei
Accessioned
2016-05-12T16:07:41Z
Available
2016-05-12T16:07:41Z
Issued
2012-02
Subject
aggregate planning
storage
spreadsheet optimization
mathematical programming
railways
transport
Type
journal article
Metadata
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Abstract
Canadian railway companies operate in a capital intensive segment of the transportation industry. In most railway companies, the covered hopper railcar fleet is one of the larger fleets due to its use in moving grain and potash, commodities that move large volumes of product. This railcar fleet is also difficult to manage due to demand seasonality and joint commodity use. This paper demonstrates how an aggregate planning model can be used to support decision-making related to optimization of covered hopper railcar storage. Exploratory research prior to model development involved interviews with company personnel. The model was developed through quantitative research and implemented using spreadsheet optimization. The results indicate that using this model can reduce the total cost of storage through effective planning. The model also provided insight to improve railcar storage such as the elimination of excess storage locations and the need to do further investigation. The company is in the process of implementing suggestions from this paper.
Refereed
Yes
Link to Publisher's version of the article http://www.jstor.org/stable/41353917 Pre print deposited 05/12/2016 Accepted for publication in the Journal of the Operational Research Society, October 2010.
 
Citation
RL Espey and J Balakrishnan The Journal of the Operational Research Society Vol. 63, No. 2 (FEBRUARY 2012), pp. 139-150
Department
Operations and Supply Chain Management
Faculty
Haskayne School of Business
Institution
University of Calgary
Url
http://www.palgrave-journals.com/pal/index.html
Publisher
Palgrave Macmillan
Doi
http://dx.doi.org/10.11575/PRISM/34162
Uri
http://hdl.handle.net/1880/51197
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