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Simulador de decisiones de marketing orientado a la segmentación de mercado usando el método de Monte Carlo
dc.contributor.author | Puelles Cáceres, Christian | |
dc.contributor.author | Salhuana Rojas, Daniel | |
dc.date.accessioned | 2017-06-19T16:08:21Z | |
dc.date.available | 2017-06-19T16:08:21Z | |
dc.date.issued | 2016-09 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11818/639 | |
dc.description | Presentación que se llevó a cabo durante el VIII Congreso Internacional de Computación y Telecomunicaciones COMTEL 2016 del 21 al 23 septiembre de 2016 en Lima, Perú. COMTEL, es un certamen organizado por la Facultad de Ingeniería de Sistemas, Cómputo y Telecomunicaciones de la Universidad Inca Garcilaso de la Vega, que congrega a profesionales, investigadores y estudiantes de diversos países con el fin de difundir e intercambiar conocimientos, mostrar experiencias académicas-científicas y soluciones para empresas en las áreas de Computación, Telecomunicaciones y disciplinas afines. | es_PE |
dc.description.abstract | The application of Monte Carlo method is of great importance to approximate solutions to problems that are difficult to resolve by analytical or numerical methods, especially those that deal with uncertainty. Under the scheme of a representative model of the problem and by various simulations of random variables, it is possible to predict the behavior of such a problem over time, helping decision-making and analysis of these. Current educational simulators, operational marketing decisions, have poor for recording and analysis of the decisions. Therefore, an innovative solution for simulations of positioning a product on the market is proposed. The proposal is the creation of the simulator SIMMKT operational marketing decisions. The goal is to improve student learning market strategies for positioning a product, in order to know what and how to invest in the market. The simulator was validated by the Monte Carlo method and tested in an operational marketing class, the results found in the simulations showed improved learning. In conclusion, the proposed simulator improving student learning through a competitive environment, controlled and directed to achieve the positioning of a product on the market. | es_PE |
dc.language.iso | spa | es_PE |
dc.publisher | Universidad Inca Garcilaso de la Vega | es_PE |
dc.rights | info:eu-repo/semantics/openAccess | es_PE |
dc.source | Universidad Inca Garcilaso de la Vega | es_PE |
dc.source | Repositorio Institucional - UIGV | es_PE |
dc.subject | Ingeniería de Sistemas | es_PE |
dc.subject | Robótica | es_PE |
dc.subject | Monte Carlo | es_PE |
dc.subject | Simulación | es_PE |
dc.subject | Incertidumbre | es_PE |
dc.subject | Modelo matemático | es_PE |
dc.subject | Marketing operativo | es_PE |
dc.title | Simulador de decisiones de marketing orientado a la segmentación de mercado usando el método de Monte Carlo | es_PE |
dc.type | info:eu-repo/semantics/conferenceObject | es_PE |