Information transformation in a supply chain: a simulation study
Computers and Operations Research
Organization and problem ontology for supply chain information support system
Data & Knowledge Engineering
Coordinated Replenishment Strategies in Inventory/Distribution Systems
Management Science
Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect"
Management Science
Order Volatility and Supply Chain Costs
Operations Research
A Fuzzy agent-based model for reduction of bullwhip effect in supply chain systems
Expert Systems with Applications: An International Journal
Simulation of scheduled ordering policies in distribution supply chains
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
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
Improving Supply Chain Performance: Real-Time Demand Information and Flexible Deliveries
Manufacturing & Service Operations Management
Demand Information Sharing in Heterogeneous IT Services Environments
Journal of Management Information Systems
Bullwhip Effect Measurement and Its Implications
Operations Research
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This paper studies supply chain demand variability in a model with one supplier and N retailers that face stochastic demand. Retailers implement scheduled ordering policies: Orders occur at fixed intervals and are equal to some multiple of a fixed batch size. A method is presented that exactly evaluates costs. Previous research demonstrates that the supplier's demand variance declines as the retailers' order intervals are balanced, i.e., the same number of retailers order each period. This research shows that the supplier's demand variance will (generally) decline as the retailers' order interval is lengthened or as their batch size is increased. Lower supplier demand variance can certainly lead to lower inventory at the supplier. This paper finds that reducing supplier demand variance with scheduled ordering policies can also lower total supply chain costs.