REDUCING LOGISTICS DELAYS USING THE SUPPLY CHAIN CRITICALITY INDEX: A DIAGNOSTIC APPROACH
Boensel, Matthew G.
Van Bossuyt, Douglas
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The Department of Navy (DON) struggles with improving logistics delays of parts for systems carried aboard ships. The trend for current logistics improvement efforts has primarily focused on sophisticated stochastic modeling techniques, while low-level performance metrics have yet to be fully leveraged. This research seeks to develop a method for improving logistics delays that can be readily implemented in existing databases and requires no additional software. This research uses a performance metric called the supply chain criticality index to develop a diagnostic approach to identify parts with the highest logistics impact to the system. This method is used in a case study that examines the performance of the Close-In Weapon System (CIWS). The results of this case study agree with reports produced by the Program Executive Office (PEO) of Integrated Warfare Systems (IWS) and further identify new parts for logistics improvement. The proposed method has the promise to significantly reduce logistics delay times for systems carried aboard surface ships and other operational units.
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