Abstract
A finite set of outlets with randomly fluctuating demands bands together to reduce costs by buying, storing and distributing their inventory jointly. This is termed inventory centralization and is a type of risk pooling. The expected centralization cost can be lowered even further, without disrupting the demand behavior at individual outlets, by inducing the outlets to correlate their individual demands. Given that the outlets' demands are normally distributed, the lowering of the centralized cost corresponds to a semidefinite optimization problem. This paper establishes a closed-form optimal solution of the semidefinite program and a fair allocation of the centralized cost at optimality.
Original language | English (US) |
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Pages (from-to) | 707-728 |
Number of pages | 22 |
Journal | TOP |
Volume | 20 |
Issue number | 3 |
DOIs | |
State | Published - Oct 2012 |
Keywords
- Convex optimization
- Cooperative game theory
- Inventory centralization
- Risk pooling
ASJC Scopus subject areas
- Modeling and Simulation
- Discrete Mathematics and Combinatorics
- Management Science and Operations Research
- Information Systems and Management