An efficient method to determine the optimal configuration of a flexible manufacturing system
Annals of Operations Research - Flexible Manufacturing Systems: Operations Research Models and Applications II
Information distortion in a supply chain: the bullwhip effect
Management Science - Special issue on frontier research in manufacturing and logistics
Note: How Does Product Proliferation Affect Responsiveness?
Management Science
Quantity Flexibility Contracts and Supply Chain Performance
Manufacturing & Service Operations Management
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
Coordinating Supply Chains by Controlling Upstream Variability Propagation
Manufacturing & Service Operations Management
Evolution of ARMA Demand in Supply Chains
Manufacturing & Service Operations Management
Deteriorating item inventory model with shortage due to supplier in an integrated supply chain
International Journal of Systems Science
Management Science
A mixed inventory model with variable lead time and random back-order rate
International Journal of Systems Science
A three-echelon supply chain coordination with quantity discounts for multiple items
International Journal of Systems Science
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Manufacturing systems in many industries face the challenge of manufacturing products that are assembled from multi-variant components. Demand for these component variants is correlated, and often subjected to an overall capacity constraint (e.g. fixed production volumes in the final assembly plant). Therefore, the modelling of supply chain systems under multi-variant product conditions is conceptually difficult as the demands for the individual variants are not independent. Previous approaches to modelling supply chain systems have commonly dealt with this complication by either focusing on single-product multi-tier systems, or single-tier systems with multiple products. In this article, we propose a modelling approach capable of studying the responsiveness of multi-tier systems with correlated demands, which is used as the input for a simulation model. Based on the simulation outcomes, generic relationships between product variety, responsiveness and inventory levels in a supply chain system are derived; and a novel safety stock formula for such settings is developed.