Hostname: page-component-77c89778f8-fv566 Total loading time: 0 Render date: 2024-07-20T11:10:28.134Z Has data issue: false hasContentIssue false
  • English
  • Français

Optimal resource allocation in chemical research

Published online by Cambridge University Press:  01 July 2016

J. C. Gittins
J. C. Gittins*
Affiliation:
University Engineering Laboratory, Cambridge
Get access Rights & Permissions [Opens in a new window]

Extract

The problem of allocating scientific effort between a number of competing projects is considered. A stochastic mathematical model is set up, and for the case of just two competing projects a number of results are proved which enable the best policy to be determined. An indication is given of the ways in which these results might be extended so as to deal with more general situations.

Type
Research Article
Information
Advances in Applied Probability , Volume 1 , Issue 2 , Autumn 1969 , pp. 238 - 270
Copyright
Copyright © Applied Probability Trust 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bellman, R. E. (1957) Dynamic Programming. Princeton University Press, Princeton.Google Scholar
Cetron, M. J., Martino, J. and Roepcke, L. (1967) The selection of R and D program content-survey of quantitative methods. I.E.E.E. Trans. Engineering Management, EM-14, 4–13.Google Scholar
Davies, O. L. (1962) Some statistical considerations in the selection of research projects in the pharmaceutical industry. Appl. Statist. 11, 170–183.Google Scholar
Grayson, C. J. (1960) Decisions Under Uncertainty. Harvard Business School, Boston, Mass.Google Scholar
Phillips, E. G. (1948) A Course of Analysis. Cambridge University Press, Cambridge.Google Scholar
Pontryagin, L. S., Boltyanskii, V. G., Gamkrelidze, R. V. and MIschenko, E. F. (1962) Mathematical Theory of Optimal Processes. Wiley, New York.Google Scholar