Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/78027
Title: Optimal inventory control with jump diffusion and nonlinear dynamics in the demand
Authors: Jingzhen, LIU
Yiu, KFC 
Bensoussan, A
Keywords: Dynamic programming principle
Inventory control
Jump diffusion
Quasi-variational inequalities
Issue Date: 2018
Publisher: Society for Industrial and Applied Mathematics
Source: SIAM journal on control and optimization, 2018, v. 56, no. 1, p. 53-74 How to cite?
Journal: SIAM journal on control and optimization 
Abstract: In this paper, we consider an inventory control problem with a nonlinear evolution and a jump-diffusion demand model. This work extends the earlier inventory model proposed by Benkherouf and Johnson [Math. Methods Oper. Res., 76 (2012), pp. 377–393] by including a general jump process. However, as those authors note, their techniques are not applicable to models with demand driven by jump-diffusion processes with drift. Therefore, the combination of diffusion and general compound Poisson demands is not completely solved. From the dynamic programming principle, we transform the problem into a set of quasi-variational inequalities (Q.V.I.). The difficulty arises when solving the Q.V.I. because the second derivative and integration term appear in the same inequality. Our technique is to construct a set of coupled auxiliary functions. Then, an analytical study of the Q.V.I. implies the existence and uniqueness of an (s, S) policy.
URI: http://hdl.handle.net/10397/78027
ISSN: 0363-0129
EISSN: 1095-7138
DOI: 10.1137/16M1091885
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