Designing Quantity Discounts to Moderate Buyer's
Ordering Behavior in a Stochastic Environment
by
Nihat Altintas
Carnegie Mellon University
We study a quantity discount problem under stochastic demand. For a single
period problem, we derive the optimal policy for a buyer, which is a
three-index policy. In an experimental analysis, we investigate the structure
of the optimal policy for the infinite horizon problem, and show that higher
index policies with complex order structures may turn out to be optimal. We
characterize the conditions under which such order structures are observed. We
study the performance of the best three-index policy. We analytically show how a
supplier can create discounts where two- or three-index policies are optimal for
the buyer. We suggest discount schemes that a supplier may use to moderate the
buyer's ordering policy to achieve specific objectives of operational
efficiency.