Abstract
We study in this correspondence paper a solution scheme which solves a periodic review multiperiod inventory problem under a mean-variance (MV) framework. We first investigate a primal inventory problem with an MV objective function. Owing to the nonseparable nature of variance, we construct an auxiliary problem which is separable. By solving the auxiliary problem, we identify the conditions under which the solutions of the primal and auxiliary problems converge. Hence, we propose the algorithm and show that a base-stock policy is optimal.
Original language | English |
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Article number | 5659915 |
Pages (from-to) | 678-682 |
Number of pages | 5 |
Journal | IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans |
Volume | 41 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1 Jul 2011 |
Keywords
- Base-stock policy
- inventory control
- mean-variance (MV) analysis
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Human-Computer Interaction
- Computer Science Applications
- Electrical and Electronic Engineering