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Item Details
Title: OPTIMIZATION OF TEMPORAL NETWORKS UNDER UNCERTAINTY
By: Wolfram Wiesemann
Format: Paperback

List price: £99.99


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ISBN 10: 3642437230
ISBN 13: 9783642437236
Publisher: SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG
Pub. date: 22 February, 2014
Edition: 2012 ed.
Series: Advances in Computational Management Science 10
Pages: 160
Synopsis: Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations. For example, temporal networks are used to model projects, computer applications, digital circuits and production processes. Optimization problems arise in temporal networks when a decision maker wishes to determine a temporal arrangement of the tasks and/or a resource assignment that optimizes some network characteristic (e.g. the time required to complete all tasks). The parameters of these optimization problems (e.g. the task durations) are typically unknown at the time the decision problem arises. This monograph investigates solution techniques for optimization problems in temporal networks that explicitly account for this parameter uncertainty. We study several formulations, each of which requires different information about the uncertain problem parameters.
Illustrations: 20 Tables, black and white; XII, 160 p.
Publication: Germany
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Returns: Returnable
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