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Stochastic Modelling in Innovative Manufacturing pp 123–139Cite as

Algorithms for Allocating Resources to Multi-Stage Pharmaceutical Research Projects

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Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 445))

Abstract

Two alternative stochastic models are described for a stage in a multi-stage pharmaceutical research project. These may be used to estimate the most profitable number of scientists to allocate. General properties of these optimal allocations are derived and algorithms to calculate the optimal allocations are described, together with examples of their use. Optimal allocations are higher than those which are likely to complete the project in the minimum number of scientist-years.

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References

  • Bergman, S.W. and Gittins, J.C. (1985), Statistical Methods for Pharmaceu tical Research Planning, Marcel Dekker, New York.

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  • Boschi, R.A.A. (1982), ‘Modelling exploratory research’, European Journal of Operations Research, 10, 250–259.

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  • Gittins, J.C. (1996), ‘Why crash pharmaceutical research?’, R & D Manage ment, 26, (to appear).

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  • Lau, W. (1995), Planning the Evolution of a Pharmaceutical Research Project, Dissertation for the MSc in Applied Statistics, Oxford University.

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  • Spilker, B. (1989), Multinational Drug Companies - Issues in Drug Discovery and Development, Raven Press, New York.

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Author information

Authors and Affiliations

  1. Department of Statistics, 1 South Parks Road, Oxford, OX1 3TG, UK

    John Gittins

Authors
  1. John Gittins
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Salford, Salford M5 4WT, Lancs., UK

    Anthony H. Christer Ph.D.

  2. Department of Industrial and Systems Engineering, Hiroshima University, Higashi-Hiroshima, 739, Japan

    Shunji Osaki Ph.D.

  3. Department of Business Studies, The University of Edinburgh, William Robertson Building 50 George Square, Edinburgh, EH8 9JY, UK

    Lyn C. Thomas Ph.D.

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© 1997 Springer-Verlag Berlin Heidelberg

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Gittins, J. (1997). Algorithms for Allocating Resources to Multi-Stage Pharmaceutical Research Projects. In: Christer, A.H., Osaki, S., Thomas, L.C. (eds) Stochastic Modelling in Innovative Manufacturing. Lecture Notes in Economics and Mathematical Systems, vol 445. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59105-1_9

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  • DOI: https://doi.org/10.1007/978-3-642-59105-1_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61768-6

  • Online ISBN: 978-3-642-59105-1

  • eBook Packages: Springer Book Archive

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