Lot splitting under different job shop conditions

Chan, F.T.S. and Wong, T.C. and Chan, L.Y.; (2007) Lot splitting under different job shop conditions. In: CEC 2007 IEEE Congress on Evolutionary Computation. IEEE, SGP, pp. 4722-4728. ISBN 9781424413393 (https://doi.org/10.1109/CEC.2007.4425091)

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Abstract

Lot splitting is defined as the process of splitting lots into smaller sub-lots such that successive operations of the same lot can be overlapped on distinct machines. Hence, the lead time of the lot can be possibly shortened. In this paper, a genetic algorithm-based approach is proposed to examine the lot splitting effect under different job shop conditions as defined by three parameters: processing time range, setup time and system congestion index. The experimental results suggest that lot splitting technique has a significant impact on job shop system with longer processing time and less due date tightness.

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