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A hamiltonian approach to optimal stochastic resource allocation

Published online by Cambridge University Press:  01 July 2016

P. Nash
Affiliation:
University of Oxford
J. C. Gittins
Affiliation:
University of Cambridge

Abstract

The problem of scheduling items for service with random service times is formulated as an optimal control problem. Pontryagin's maximum principle is used to determine the optimal schedule in certain cases.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1977 

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References

[1] Conway, R. W., Maxwell, W. L. and Miller, L. W. (1967) The Theory of Scheduling. Addison-Wesley, Reading, Mass. Google Scholar
[2] Cox, D. R. (1959) A renewal problem with bulk ordering of components. J. R. Statist. Soc. B 21, 180189.Google Scholar
[3] Dreyfus, S. E. (1965) Dynamic Programming and the Calculus of Variations. Academic Press, London.Google Scholar
[4] El-Sayyad, G. M. (1967) Some Fixed Sample and Sequential Decision Procedures. , University College, Aberystwyth.Google Scholar
[5] Gait, P. A. (1972) Optimal Allocation and Control under Uncertainty. , University of Cambridge.Google Scholar
[6] Gittins, J. C. (1969) Optimal resource allocation in chemical research. Adv. Appl. Prob. 1, 238270.CrossRefGoogle Scholar
[7] Gittins, J. C. (1972) Some problems of stochastic resource allocation. J. Appl. Prob. 9, 360369.CrossRefGoogle Scholar
[8] Gittins, J. C. and Jones, D. M. (1974) A dynamic allocation index for the sequential design of experiments. In Progress in Statistics, ed. Gani, J. et al., North-Holland, Amsterdam, 241266.Google Scholar
[9] Haworth, G. M. (1972) Process scheduling by output consideration. Presented at the Second European Seminar on Real-Time Programming, University of Erlangen. March 1972.Google Scholar
[10] Kamien, M. I. and Schwartz, N. L. (1971) Expenditure patterns for risky R and D projects. J. Appl. Prob. 8, 6073.CrossRefGoogle Scholar
[11] Laska, E., Meisner, M. and Siegel, C. (1972) Optimal resource allocation. J. Appl. Prob. 9, 337359.CrossRefGoogle Scholar
[12] Lee, E. B. and Markus, L. (1968) Foundations of Optimal Control Theory. Wiley, New York.Google Scholar
[13] Lindley, D. V. (1960) On Cox's renewal problem. Unpublished.Google Scholar
[14] Lucas, R.E. (1971) Optimal management of an R&D project. Management Sci. 17, A679A697.CrossRefGoogle Scholar
[15] Rothkopf, M. (1966) Scheduling with random service times. Management Sci. 12, 707713.CrossRefGoogle Scholar
[16] Schrage, L. E. (1968) A proof of the optimality of the Shortest Remaining Process Time discipline. Opns. Res. 16, 687689.CrossRefGoogle Scholar
[17] Sevcik, K. C. (1972) The use of service-time distributions in scheduling. Technical Report CSRG-14, University of Toronto.Google Scholar