Information distortion in a supply chain: the bullwhip effect
Management Science - Special issue on frontier research in manufacturing and logistics
Value of Information in Capacitated Supply Chains
Management Science
Capacity Allocation Using Past Sales: When to Turn-And-Earn
Management Science
Managing Supply Chain Demand Variability with Scheduled Ordering Policies
Management Science
A Single-Item Inventory Model for a Nonstationary Demand Process
Manufacturing & Service Operations Management
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
Computers and Operations Research
Information transformation in a supply chain: a simulation study
Computers and Operations Research
Altering the Information System for a plywood supply chain in order to tame the Bullwhip effect
International Journal of Intelligent Systems Technologies and Applications
On ordering adjustment policy under rolling forecast in supply chain planning
Computers and Industrial Engineering
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Demand variability amplification across the supply chain, known as the bullwhip effect, results in serious inefficiencies across the chain. Managers are expected to minimize this phenomenon in their chain in order to reduce costs and increase customer satisfaction by making critical decisions on replenishment policy. We study how specific replenishment parameters affect order variability amplification, product fill rates and inventory levels across the chain. Furthermore, we study how demand information sharing can help towards reducing order oscillations and inventory levels in upper nodes of a supply chain. A two-stage supply chain consisting of a warehouse and stores that face customer demand is modeled. Real demand data are used as the underlying customer demand during the experiments.