Titlebook: Robust Discrete Optimization and Its Applications; Panos Kouvelis,Gang Yu Book 1997 Springer Science+Business Media Dordrecht 1997 Mathema

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Nonconvex Optimization and Its Applicationshttp://image.papertrans.cn/r/image/831304.jpg

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978-1-4419-4764-2Springer Science+Business Media Dordrecht 1997

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Robust Discrete Optimization and Its Applications978-1-4757-2620-6Series ISSN 1571-568X

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Approaches for Handling Uncertainty in Decision Making,ction costs, as well as in the availability of needed raw material supplies, complicates the task of a production manager in planning the mix of products to be produced. Uncertainty in future cash flows makes investment decisions in long term projects difficult. Resource allocation decisions in prod

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A Robust Discrete Optimization Framework,t decisions. In Chapter 1 we formally defined the Robustness Approach to Decision Making. According to our discussion, three different robustness criteria can be used for the selection of the robust decision.

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