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Convex Optimization of Centralized Inventory Operations
Department of Management Sciences
The University of Iowa
Friday, September 15, 2006
4:00-4:50pm,
61 SH
Abstract
Consider a finite set of outlets with joint normally distributed
demands and identical holding and penalty costs. It is well known that
for a newsvendor inventory setting the expected cost of inventory
centralization can be expressed as a constant multiple of the standard
deviation of the joint distribution. The lowering of the centralized
cost without changing the mean and standard deviation of demand at each
outlet corresponds to a semidefinite optimization problem. This talk
presents a closedform optimal solution of the semidefinite program
and a fair allocation of the cost at optimality. The issue of cost
allocation separate from the optimization is also studied where it is
shown that an exponential-size linear program can be approximated by a
polynomial-size second-order program.
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