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Main
Research & Publications
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Description: In practice,
suppliers
(e.g., manufacturers and distributors) often require their
customers (e.g., retailers) to order either none or at least a
certain amount of units – Minimum Order Quantity (MOQ).
While MOQ
provides a way for the suppliers to achieve economies of scale in
production/transportation, it presents a substantial challenge
for the customers to manage inventories efficiently.
Unlike fixed ordering costs and fixed batch sizes, MOQ received
much less attention in the literature.
My research in this area focuses on identifying and computing
efficient inventory replenishment policies for firms to handle
MOQ. |
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Zhao, Y., M.N.
Katehakis (2006). On the
Structure of Optimal Ordering Policy of Stochastic Inventory
Systems with Minimum Order Quantity. Probability in the
Engineering and Informational Sciences 20: 257-270.
Abstract: This paper analyzes a
single-product inventory system over a finite time horizon, and
models this type of problem as a stochastic dynamic program. A
new concept, dubbed M-increasing functions, is
introduced, which allows us to characterize the optimal
inventory policies everywhere in the state-space outside of a
given region for each time period, and obtains simple bounds for
these regions. The complex structure of the optimal policies is
exemplified for a number of cases. |
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Zhou, B., Y. Zhao, M.N. Katehakis (2007).
Effective Control Policies
for Stochastic Inventory Systems with a Minimum Order Quantity
and Linear Costs. International Journal of Production
Economics 106: 523-531.
Abstract: This paper proposes and analyzes
a new heuristic policy, called (s, t) policy, for
single-product inventory systems with MOQ constraints. The paper demonstrates via a numerical study that
the
best (s, t) policy has a performance close
to that of the optimal policy, and it always outperforms the best
feasible (s, S) policies which are commonly used in
practice. On average, the performance improvements are
significant. |
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Zhou, B., M.N.
Katehakis & Y. Zhao (2009).
Managing stochastic
inventory systems with free shipping option.
European Journal of Operational Research
196:
186-197. |
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