Revisión de técnicas de análisis de decisión multicriterio (múltiple criteria decisión analysis –MCDA) como soporte a problemas complejos: pronósticos de demanda

This article presents a review of the literature based on multiple criteria analysis techniques as a support for business decision-making of SMEs entrepreneurs, since it is of great interest to the research project developed by the group New Technologies, Labor and Management in terms of innovation and social capital. The emphasis was on the issue of demand predictions because if the variability and uncertainty that they cause in the organization can be reduced, the complexity of decision-making related to the different organizational areas will be reduced as well. Given its importance, some literature was reviewed from its origins to the advanced techniques used today in the pattern of data behavior. These developments are more related to the implementation of these aspects in the business sector to improve competitiveness from effective strategic decisions made in uncertainty scenarios like the current ones, than to the edge of knowledge.

• Autores: Acosta Ríos, Mario Fernando; Díaz Pacheco, Raúl Antonio; Anaya Salazar, Ángela Patricia
• Fecha de publicación: 2009
• Institución: Universidad de San Buenaventura
• Repositorio: Repositorio USB
• Idioma: spa
• OAI Identifier: oai:bibliotecadigital.usb.edu.co:10819/5127
• Acceso en línea: http://hdl.handle.net/10819/5127
• Palabra clave: Análisis de Decisión Multicriteria (MCDA); Estado del arte pronósticos; Pronósticos de demanda; Algoritmos genéticos; Redes neuronales artificiales; Demand predictions; Artificial neural networks; Genetic algorithms; State of the art predictions; Multiple Criteria Decision Analysis (MCDA); Toma de decisiones; Pyme; Competitividad
• License: Atribución-NoComercial-SinDerivadas 2.5 Colombia