Mathematics of Operations Research
Mathematics of Operations Research
Critical number policies for inventory models with periodic data
Management Science
Inventory control in a fluctuating demand environment
Operations Research
Customer-order information, leadtimes, and inventories
Management Science
Information distortion in a supply chain: the bullwhip effect
Management Science - Special issue on frontier research in manufacturing and logistics
Modeling and analysis of stochastic systems
Modeling and analysis of stochastic systems
Stochastic dynamic programming and the control of queueing systems
Stochastic dynamic programming and the control of queueing systems
Value of Information in Capacitated Supply Chains
Management Science
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
A Capacitated Production-Inventory Model with Periodic Demand
Operations Research
Integrating Replenishment Decisions with Advance Demand Information
Management Science
The Value of Information Sharing in a Two-Level Supply Chain
Management Science
Supply Chain Inventory Management and the Value of Shared Information
Management Science
Probability in the Engineering and Informational Sciences
Probability in the Engineering and Informational Sciences
Optimal Policies for a Capacitated Two-Echelon Inventory System
Operations Research
Optimal production policies with multistage stochastic demand lead times
Probability in the Engineering and Informational Sciences
Improving Supply Chain Performance: Real-Time Demand Information and Flexible Deliveries
Manufacturing & Service Operations Management
Manufacturing & Service Operations Management
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We study the value of information sharing in a two-stage supply chain with a single manufacturer and a single retailer in an infinite time horizon, where the manufacturer has finite production capacity and the retailer faces independent demand. The manufacturer receives demand information even during periods of time in which the retailer does not order. Allowing for time-varying cost functions, our objective is to characterize the impact of information sharing on the manufacturer's cost and service level. We develop a new approach to characterize the induced Markov chains under cyclic order-up-to policy and provide a simple proof for the optimality of cyclic order-up-to policy for the manufacturer under the average cost criterion. Using extensive computational analysis, we quantify the impact of information sharing on the manufacturer's performance in an infinite time horizon under both i.i.d. demand and independent but nonstationary demand.