|
Main
Research & Publications
|
|
Description: Information technology is an
important enabler of efficient supply chain strategies. Indeed,
much of the current interest in supply chain management is
motivated by the possibilities introduced by the abundance of
data and the savings inherent in sophisticated analysis of these
data. For example, information technology has changed the way
companies collaborate with suppliers and customers. These
collaborations, which allows companies to share sensitive demand
information with their suppliers in real time, have achieved huge
success in practice in terms of inventory reduction, service
level improvement, and quick response to market changes (Stein
and Sweat (1998) "Killer Supply Chains").
My research in this area focuses on two questions: (1) how to
efficiently utilize the shared information, and (2) what is the
impact of information sharing on supply chain performance. |
|
Simchi-Levi, D., Y. Zhao (2003).
The Value of Information
Sharing in a Two-Stage Supply Chain with Production Capacity
Constraint. Naval Research Logistics 50, 888-916.
Abstract: This paper considers a class of
serial supply chains with a single retailer and a single supplier
constrained by finite production capacity. The supplier, however,
can receive demand information from the retailer in between
retailer’s consecutive orders. The paper characterizes the
optimal inventory policies that allow the supplier to best
utilize the information over a finite time horizon. Managerial
insights are developed with respect to the impact of information
sharing, its timing and frequency. |
| |
|
Simchi-Levi, D., Y. Zhao (2004).
The Value of Information
Sharing in a Two-stage Supply Chain with Production Capacity
Constraint: The Infinite Horizon Case. Probability in the
Engineering and Informational Sciences 18, 247-274.
Abstract: This paper extends the analysis
of Simchi-Levi and Zhao (2003) to models in an infinite time
horizon under either the total discounted cost criterion or the
average cost criterion. It develops a new approach to
characterize the Markov chain induced by the cyclic order-up-to
policies. It also provides a simple proof for the optimality of
the cyclic order-up-to policy under the average cost criterion. |
| |
|
Zhao, Y. (2002). The
Impact of Information Sharing on Supply Chain Performance.
Ph.D. Thesis. IEMS Dept., Northwestern University. Evanston, IL.
|
|
