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

Authors:
Florin Stoica;Laura Florentina Cacovean
Affiliations:
Computer Science Department, Faculty of Sciences, University "Lucian Blaga" Sibiu, Sibiu, Romania;Computer Science Department, Faculty of Sciences, University "Lucian Blaga" Sibiu, Sibiu, Romania
Venue:
SMO'09 Proceedings of the 9th WSEAS international conference on Simulation, modelling and optimization
Year:
2009

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Abstract

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 longterm production planning and marketing strategies.