A Closed-Form Approximation for Serial Inventory Systems and Its Application to System Design
Manufacturing & Service Operations Management
Approximate Solutions of a Dynamic Forecast-Inventory Model
Manufacturing & Service Operations Management
Determining safety stocks in the presence of workload-dependent lead times
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Dynamic modeling and control of supply chain systems: A review
Computers and Operations Research
Strategic Safety Stocks in Supply Chains with Evolving Forecasts
Manufacturing & Service Operations Management
Competition and Cooperation in a Two-Stage Supply Chain with Demand Forecasts
Operations Research
Optimal Preorder Strategy with Endogenous Information Control
Management Science
Information Transmission and the Bullwhip Effect: An Empirical Investigation
Management Science
A Multiordering Newsvendor Model with Dynamic Forecast Evolution
Manufacturing & Service Operations Management
A seasonal discrete grey forecasting model for fashion retailing
Knowledge-Based Systems
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This paper develops a new model for studying requirements planning in multistage production-inventory systems. We first characterize how most industrial planning systems work, and we then develop a mathematical model to capture some of the key dynamics in the planning process. Our approach is to use a model for a single production stage as a building block for modeling a network of stages. We show how to analyze the single-stage model to determine the production smoothness and stability for a production stage and the inventory requirements. We also show how to optimize the tradeoff between production capacity and inventory for a single stage. We then can model the multistage supply chain using the single stage as a building block. We illustrate the multistage model with an industrial application, and we conclude with some thoughts on a research agenda.