DocumentCode
986510
Title
The application of dynamic programming to optimal inventory control
Author
Berovic, Daniel P. ; Vinter, Richard B.
Author_Institution
Dept. of Electr., Imperial Coll. of Sci., London, UK
Volume
49
Issue
5
fYear
2004
fDate
5/1/2004 12:00:00 AM
Firstpage
676
Lastpage
685
Abstract
This paper concerns a class of deterministic impulse control problems, arising in inventory control. A notable feature of the problem formulation is the presence of an end-point constraint. In consequence, the value function may be discontinuous. Viability theory provides a characterization of the value function as the unique lower semicontinuous solution to a Bensoussan-Lions type quasi-variational inequality (QVI), suitably interpreted for nondifferentiable, extended valued functions. Yet there are few examples in the literature of the use of this analytical machinery. This paper provides such an example. The example, which concerns a problem for which the value function is neither everywhere finite valued nor continuously differentiable on the interior of its effective domain, illustrates what is involved in calculating subdifferentials and checking satisfaction of QVI (in a generalized sense). This paper also provides a summary of the underlying theory, and gathers in the Appendix proofs of key results.
Keywords
dynamic programming; optimal control; stock control; variational techniques; deterministic control; dynamic programming; optimal inventory control; quasi-variational inequality; unique lower semicontinuous solution; value functions; viability theory; Control systems; Cost function; Councils; Differential equations; Dynamic programming; Inventory control; Machinery; Medical control systems; Operations research; Optimal control; Dynamic programming; hybrid control; impulse control; operations research; optimal control;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.2004.826719
Filename
1298993
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