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Models and software for improving the profitability of pharmaceutical research

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  • Yu, Jiun-Yu
  • Gittins, John

Abstract

The pharmaceutical industry is highly competitive, and the discovery and development of new drugs is extremely expensive and time consuming. This paper is a contribution to the task of improving the effectiveness of pre-clinical research. Our model investigates for any given project the number of lead series which should if necessary be optimised in the search for a development compound which is sufficiently promising to proceed to clinical trials. The numbers of scientists which should be allocated to each research stage are also investigated. Two widely-applied profitability criteria are considered. Computer software designed to implement the optimisation calculations is described and shown to produce reasonable results, leading to a potentially dramatic improvement in profitability.

Suggested Citation

  • Yu, Jiun-Yu & Gittins, John, 2008. "Models and software for improving the profitability of pharmaceutical research," European Journal of Operational Research, Elsevier, vol. 189(2), pages 459-475, September.
    • Handle: RePEc:eee:ejores:v:189:y:2008:i:2:p:459-475
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    References listed on IDEAS

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    4. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
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    Cited by:

    1. Lütkemeyer, Daniel & Heese, H. Sebastian & Wuttke, David A. & Gernert, Andreas K., 2022. "Pricing and market entry decisions in personalized medicine," International Journal of Production Economics, Elsevier, vol. 253(C).
    2. Creemers, Stefan & De Reyck, Bert & Leus, Roel, 2015. "Project planning with alternative technologies in uncertain environments," European Journal of Operational Research, Elsevier, vol. 242(2), pages 465-476.

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