Stochastic scheduling with event-based dynamic programming

In this paper we apply a new framework for the study of monotonicity in queueing systems to stochastic scheduling models. This allows us a unified treatment of many different models, among which are multiple and single server models (with and without feedback), discrete and continuous time models, models with controlled and uncontrolled arrivals, etc. Copyright Springer-Verlag Berlin Heidelberg 2000

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Year of publication:	2000
Authors:	Koole, Ger
Published in:	Mathematical Methods of Operations Research. - Springer. - Vol. 51.2000, 2, p. 249-261
Publisher:	Springer
Subject:	Stochastic scheduling \| dynamic programming \| index policies \| monotone failure rates

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010949970