Quotation Rabta, Boualem, Reiner, Gerald. 2012. Batch Sizes Optimization by means of Queueing Network Decomposition and Genetic Algorithm. International Journal of Production Research. 50 (10), 2720-2731.




Batch sizes have a considerable impact on the performance of a manufacturing process. Determining optimal values for batch sizes helps to reduce inventories/costs and lead times. The deterministic nature of the available batch size optimisation models reduces the practical value of the obtained solutions. Other models focus only on critical parts of the system (e.g., the bottleneck). In this paper, we present an approach that overcomes important limitations of such simplified solutions. We describe a combination of queueing network analysis and a genetic algorithm that allows us to take into account the real characteristics of the system when benefiting from an efficient optimisation mechanism. We are able to demonstrate that the application of our approach on a real-sized problem with 49 products allows us to obtain a solution (values for batch sizes) with less than 4% relative deviation of the cycle time from the exact minimal value.


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Publication's profile

Status of publication Published
Affiliation External
Type of publication Journal article
Journal International Journal of Production Research
Citation Index SCI
WU Journalrating 2009 A
WU-Journal-Rating new FIN-A, INF-A, STRAT-B, WH-B
Language English
Title Batch Sizes Optimization by means of Queueing Network Decomposition and Genetic Algorithm
Volume 50
Number 10
Year 2012
Page from 2720
Page to 2731
Reviewed? Y
DOI http://dx.doi.org/10.1080/00207543.2011.588618
Open Access N


Reiner, Gerald (Details)
Rabta, Boualem (Alpen-Adria Universität Klagenfurt, Austria)
Research areas (ÖSTAT Classification 'Statistik Austria')
1133 Computer-aided simulation (Details)
5307 Business and management economics (Details)
5316 Industrial management (Details)
5326 Production research (Details)
5354 Business logistics (Details)
5365 Quality management (Details)
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