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A spreadsheet decision support optimization model for railcar storage at Canadian Pacific Railway / R. L. Espey in Journal of the operational research society (JORS), Vol. 63 N° 2 (Fevrier 2012) 

Public ISBD [article]  in Journal of the operational research society (JORS) > Vol. 63 N° 2 (Fevrier 2012) . - pp. 139–150 Titre : A spreadsheet decision support optimization model for railcar storage at Canadian Pacific Railway Type de document : texte imprimé Auteurs : R. L. Espey, Auteur ; J. Balakrishnan, Auteur Année de publication : 2012 Article en page(s) : pp. 139–150 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Aggregate  planning  Storage  Spreadsheet  optimization  Mathematical  programming  Railways  Transport Index. décimale : 001.424 Résumé : 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. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v63/n2/abs/jors2010178a.html [article] A spreadsheet decision support optimization model for railcar storage at Canadian Pacific Railway [texte imprimé] / R. L. Espey, Auteur ; J. Balakrishnan, Auteur . - 2012 . - pp. 139–150. Recherche opérationnelle Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 63 N° 2 (Fevrier 2012) . - pp. 139–150 Mots-clés : Aggregate  planning  Storage  Spreadsheet  optimization  Mathematical  programming  Railways  Transport Index. décimale : 001.424 Résumé : 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. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v63/n2/abs/jors2010178a.html