Development of a decision support system for a transport company. An application for the Revenue Management and non-linear programming
DOI:
https://doi.org/10.26439/interfases2016.n009.1240Keywords:
decision support system, non-linear programming, revenue managementAbstract
This study develops a planning approach to enable interprovincial land-transport companies to maintain an efficient travel schedule, considering the availability of their medium and long-term resources and the application of revenue management to obtain higher incomes through the use of information technologies. The development of a decision-support system in this sector will allow travel schedule focuses for optimizing the total marginal contribution in the long term, i.e. the difference between incomes and variable costs, as well as an appropriate allocation of resources to the trips, and that the fares established are adequate for the company to reach its goals.
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References
Cross, R. (1997). Revenue Management: Hard-Core Tactics for Market Domination. Crown Business. Nueva York: Broadway Books.
Eom, S. y Kim, E. (2006). A Survey of Decision Support System Applications (1995-2001). The Journal of the Operational Research Society, 57(11), 1264-1278. DOI:10.1057/palgrave.jors.2602140
Forgacs, G. (2010). Revenue Management: Maximizing Revenue in Hospitality Operations. Michigan: American Hotel & Lodging Educational Institute.
Gallego, G., Ryan, J., y Simchi-Levi, D. (2001). Minimax Analysis for Finite-Horizon Inventory Models. IIE Transactions, 33(10), 861–874. DOI:10.1023/A:1010974605771
Jaramillo, M. (2012). Network Revenue Management en aerolíneas resuelto a través de programación dinámica robusta (tesis doctoral). Universidad de Chile, Santiago de Chile, Chile. Recuperado de http://repositorio.uchile.cl/bitstream/handle/2250/112043/cfjaramillo_mq.pdf?sequence=1&isAllowed=y
Karadjov, Y., y Farahmand, M. (2007). Revenue Management Circa 2020. Journal of Revenue and Pricing Management, 6(4), 291-292. DOI: 10.1057/palgrave.rpm.5160100
Keen, P. y Scott, M. (1978). Decision Support Systems: an Organizational Perspective. Massachusets: Addison-Wesley Pub.
Mainzer, B. (2004). Future of Revenue Management. Fast Forward for Hospitality Revenue Management. Journal of Revenue and Pricing Management, 3(3), 285-289.
Merino, M. (2015). Técnicas clásicas de optimización. Parte I: programación lineal y no lineal. Recuperado de http://www.ehu.eus/mae/html/prof/Maria_archivos/plnlapuntes.pdf
Prats, L., y Guia, J. (2012). Gestión de precios en un sistema de Revenue Management hotelero en línea. Pasos, 10(5), 511-520.
Ruiz, Hernández, L., Giraldo, W. (2009). Aplicación de los sistemas de soporte a la decisión (DSS) en el comercio electrónico. Revista Ingeniería e Investigación, 29 (2), 94-99. Recuperado de: http://www.scielo.org.co/pdf/iei/v29n2/v29n2a15.pdf.
Romainville, M. (2015, 11 de diciembre). Las 9 empresas de transporte terrestre más grandes del Perú. El Comercio. Recuperado de http://elcomercio.pe/economia/peru/9-empresastransporte-terrestre-mas-grandes-peru-noticia-1863039/
Ryzin, G. y McGill, J. (2000). Revenue Management without Forecasting or Optimization: an Adaptive Algorithm for Determining Airline Seat Protection Levels. Management Science, 46(6), 760-775.
Steed, E., y Gu, Z. (2005). An Examination of Hotel Room Pricing Methods: Practised and Proposed. Journal of Revenue and Pricing Management, 3(4), 369-379. DOI:10.1057/palgrave.rpm.5170121
Turban, E. (1995). Decision Support and Expert Systems: Management Support Systems (4a ed.). Nueva Jersey: Prentice Hall.
Turban, E., Aronson, J., y Liang, T. (2005). Decision Support Systems and Intelligent Systems. Nueva Jersey: Prentice Hall.
Vinod, B. (2004). Unlocking the Value of Revenue Management in the Hotel Industry. Journal of Revenue and Pricing Management, 3(2),178-190. DOI:10.1057/palgrave.rpm.5170105
Weatherford, L., y Belobaba, P. (2002). Revenue Impacts of Fare Input and Demand Forecast Accuracy in Airline Yield Management. The Journal of the Operational Research Society, 53(8), 811-821. DOI:10.1057/palgrave.jors.2601357
Yeoman, I. (2001). Yield Management: Strategies for the Service Industries. En Ingold, A., y Mc Mahon, U. (eds). Londres: Cengage Learning.
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