Production Scheduling With Genetic Algorithm
AbstractIn 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.
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Bibliographic InfoArticle provided by University of Miskolc, Department of Material Handling and Logistics in its journal Advanced Logistic Systems.
Volume (Year): 6 (2012)
Issue (Month): 1 (December)
mathematical model; Genetic Algorithm; production scheduling; analysis; ANOVA; normality test;
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- Vivek, Shiri D. & Richey Jr., R. Glenn & Dalela, Vivek, 2009. "A longitudinal examination of partnership governance in offshoring: A moving target," Journal of World Business, Elsevier, vol. 44(1), pages 16-30, January.
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