This paper proposes and evaluates an inventory policy of position-based type to enhance the supply chain performance under supplier capacity constraints. The proposed policy has been assessed, for different demand scenarios, by the fill rate, bullwhip effect, and total cost of the supply chain. For all scenarios, the supply chain performance of the proposed policy has been compared with the performance of other known inventory policies, such as Order-Up-To, (s, S), and (s, Q) using modeling and simulation methodology. The results show performance improvements using the proposed policy compared to the other policies. It provides a guide line for industrial managers, facing supplier capacity constraints, to select the best inventory policy under different operating conditions in a supply chain.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.