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Erschienen in:
2016 | OriginalPaper | Buchkapitel
Cost Optimizing Methods for Deterministic Queuing Systems
verfasst von : Martin Gavalec, Zuzana Němcová
Erschienen in: Computational Collective Intelligence
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Abstract
The paper discusses two proposed methods for the cost optimization of the deterministic queuing system based on the control of the queue lengths. The first method uses the evaluation of actual states at the particular service places according to their development. The decision is then based on the comparison of the criteria of productivity and the expended costs. The suggested change in the system setting with the highest priority is then accomplished. The second method is based on the simulation of the future states and on this basis the appropriate time and type of the modification of the system setup is suggested.