The logistic decision making in management accounting with genetic algorithms and fuzzy sets

• Autores: Enrique López González, M. A. Rodríguez-Fernández, Cristina Mendaña Cuervo
• Localización: Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology, ISSN-e 1134-5632, Vol. 7, Nº. 2-3, 2000, págs. 229-241
• Idioma: inglés
• Títulos paralelos:
  • Toma de decisiones logísticas en gestión de contabilidad con algoritmos genéticos y conjuntos difusos
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• Resumen

  • The logistics problems in business environments deal with assignation from a number of sources to a number of destinations. Each source offers amounts of goods, while each destination demands quantities of these goods. The object is to find the cheapest transporting schedule that satisfies the demand without violating supply restraints. In this paper we propose to use Fuzzy Sets to represent the previsional information related to costs, demands and other variables. Moreover, we suggest including the problem of shortest route for the distribution vehicles. Finally, to solve this complex problem we propose to use a Genetic Algorithm with a Fuzzy Fitness Function.