Using genetic algorithms and simulation as decision support in marketing strategies and long-term production planning

Stoica F., Cacovean L. F.

9th WSEAS International Conference on Simulation, Modelling and Optimization, Budapest, Hungary, 3 - 05 September 2009, pp.435-436 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Budapest
  • Country: Hungary
  • Page Numbers: pp.435-436
  • Istanbul Technical University Affiliated: No


This paper represents an approach of using simulation models and genetic algorithms for generating an aggregative production plan to maximize the total profit of the firm. The described methodology provides a tool which assists the company management in decision which of the suitable solutions will become the production plan. The entire system is composed by a business information system - a database, a simulation model and a genetic algorithm. The purpose of the integrated system is to help operative management personnel to take decisions with respect to long-term production planning and marketing strategies.