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A Stochastic Programming Model with Decision Dependent Uncertainty Realizations for Technology Portfolio Management

  • Conference paper
Operations Research Proceedings 2007

Part of the book series: Operations Research Proceedings ((ORP,volume 2007))

Abstract

Technology development involves research and development (R&D) projects aimed to design, test and improve a technology, or the process of building a technology. Technology development is often an essential part of the operational strategy of an organization, during which deployment or implementation decisions are made. In most cases, organizations have several potential technologies with different characteristics that they can choose to invest in and develop using available resources. Selection of projects and allocation of the resources to the selected projects are important decisions with huge economic implications for an organization.

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References

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Author information

Authors and Affiliations

  1. School of Industrial and Systems Engineering, Georgia Institute of Technology, Georgia

    Senay Solak, Ellis Johnson & Earl Barnes

  2. School of Aerospace Engineering, Georgia Institute of Technology, Georgia

    John-Paul Clarke

Authors
  1. Senay Solak
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  2. John-Paul Clarke
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  3. Ellis Johnson
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  4. Earl Barnes
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Editor information

Editors and Affiliations

  1. Faculty of Law and Economics, Chair of Operations Research and Logistics, Saarland University, P.O. Box 15 11 50, 66041, Saarbrücken, Germany

    Jörg Kalcsics  & Stefan Nickel  & 

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© 2008 Springer-Verlag Berlin Heidelberg

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Solak, S., Clarke, JP., Johnson, E., Barnes, E. (2008). A Stochastic Programming Model with Decision Dependent Uncertainty Realizations for Technology Portfolio Management. In: Kalcsics, J., Nickel, S. (eds) Operations Research Proceedings 2007. Operations Research Proceedings, vol 2007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77903-2_12

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