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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Optimization of Temporal Networks Under Uncertainty

Optimization of Temporal Networks Under Uncertainty

Wiesemann, Wolfram

Paperback

Series: Advances in Computational Management Science, Book 10

Business GeneralEconomicsGeneral Mathematics

ISBN10: 3642437230
ISBN13: 9783642437236
Publisher: Springer Nature
Published: Feb 22 2014
Pages: 160
Weight: 0.55
Height: 0.37 Width: 6.14 Depth: 9.21
Language: English
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.

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