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Handbook on Project Management and Scheduling Vol. 2 pp 1267–1287Cite as

Pharmaceutical R&D Pipeline Planning

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Part of the book series: International Handbooks on Information Systems ((INFOSYS))

Abstract

The development of new drugs is a long and expensive process with multiple sources of uncertainty and complex trade-offs. In this chapter, we discuss how multi-stage stochastic programming (SP) methods can be used to develop tools for decision-making in this sector. First, we present a basic model for the stochastic resource constraint project scheduling problem we consider in this chapter, we discuss extensions for features such as outlicensing and outsourcing, and present modeling methods for risk management. Second, we review theoretical results that allow us to formulate tractable SP models that account for endogenous observation of uncertainty. Finally, we discuss solution methods that allow us to address realistic instances and present two examples.

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Author information

Authors and Affiliations

  1. ASPEN Tech, Houston, TX, USA

    Matthew Colvin

  2. Department of Chemical and Biological Engineering, University of Wisconsin, Madison, WI, USA

    Christos T. Maravelias

Authors
  1. Matthew Colvin
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  2. Christos T. Maravelias
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Corresponding author

Correspondence to Christos T. Maravelias .

Editor information

Editors and Affiliations

  1. Institute of Management and Economics, Clausthal University of Technology, Clausthal-Zellerfeld, Germany

    Christoph Schwindt

  2. Institute of Management and Economics, Clausthal University of Technology, Clausthal-Zellerfeld, Germany

    Jürgen Zimmermann

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Colvin, M., Maravelias, C.T. (2015). Pharmaceutical R&D Pipeline Planning. In: Schwindt, C., Zimmermann, J. (eds) Handbook on Project Management and Scheduling Vol. 2. International Handbooks on Information Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-05915-0_27

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