A two-phase genetic algorithm to solve variants of the batch sequencing problem

Carsten Jordan

No 363, Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel from Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre

Abstract: We introduce the batch sequencing problem with item and batch availability for the single machine and two machine flow-shop case. We propose a genetic algorithm which solves all variants through a decomposition of the problem into a Phase I-Batching and a Phase II-Scheduling decision. The batch sequencing problem is closely related to the discrete lotsizing and scheduling problem (DLSP). Computational experience shows that our algorithm favourably compares with procedures for the DLSP.

Date: 1995
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:cauman:363

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