PRODUCTION SCHEDULING WITH GENETIC ALGORITHM

Miklós Gubán () and Ákos Gubán
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Miklós Gubán: Dennis Gabor College
Ákos Gubán: Budapest Business School

Advanced Logistic systems, 2012, vol. 6, issue 1, 33-44

Abstract: In this paper, we deal with the scheduling problem of systems that have similar structure of the production-scheduling problem of assembly plants of discrete products. Firstly, the definition of order controlled, assembly plant of discrete productions is given, together with the problem of scheduling of inhomogeneous production lines. In the first part of this paper we give the model of the problem; thereafter we suite the model to genetic Algorithm. In this part we align the parameters of the well-known method to the parameters of our individual model. In the second part, we analyze and examine the run results of our computer program. In this section we present specific run results and show the system usability. In the last part we summarize when and in what circumstances the system can be used.

Keywords: mathematical model; Genetic Algorithm; production scheduling; analysis; ANOVA; normality test (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (1)

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