Production Planning using a Simulation Model and Genetic Algorithms

M. Kljajic, U. Breskvar, and I. Bernik (Slovenia)


ob-shop scheduling, simulation, genetic algorithms


The paper presents a production scheduling system using genetic algorithms (GA) and a discrete event simulation (DES) model. The scheduling system is composed of a business information system (IS) - a database, a discrete event simulation model and a scheduling algorithm. The purpose of the integrated system is to help operative management personnel with production scheduling and planning. By comparing various scheduling methods we established that the system utilizing genetic algorithms and simulation yielded from 5% to 15% better scheduling within a shorter time compared to scheduling manually.

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