Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/4697
Title: Inventory Accuracy of Maintenance Assistance Modules (MAMS) on Ships Utilizing the Organizational Maintenance Management System - Next Generation (OMMS-NG)
Authors: Elliot Torresrivera
Joshua Hart
Jonathan Herrick
Keywords: NAVSUP Fleet Logistics Center San Diego
SURFPAC
Maintenance Assistance Modules
MAMs
inventory
Type Commander’s
TYCOM’s
Issue Date: 9-Jun-2022
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Logistic Management;NPS-LM-22-185
Acquisition Management;SYM-AM-22-108
Abstract: Proper inventory management is crucial to the success of a naval warship’s completion of mission tasking and maintenance operational readiness. All U.S. naval warships require a predetermined inventory of Maintenance Assistance Modules (MAMs) to test and identify broken parts within a weapons or engineering system when failures occur. Once a part is identified as broken, shipboard personnel order that part through the Navy Supply system and return the MAMs to their appropriate inventory location. These are high-value assets that require 100% inventory validity. Fleet Logistics Center San Diego has raised concerns due to declining inventory accuracy results of MAM inventories. This study contains an analysis of the differences in inventory management procedures between a variety of naval assets, ascertains the most efficient practice of inventory management, and presents possible explanations for the loss of these high value assets. The authors have determined that there is a disparity between a ship’s inventory validities and Type Commander’s (TYCOM’s) inventory validities due to an inadequate inventory management system and insufficient guidance in procedures and policies for managing MAMs.
Description: Logistics Management / Graduate Student Research
URI: https://dair.nps.edu/handle/123456789/4697
Appears in Collections:NPS Graduate Student Theses & Reports

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NPS-LM-22-185.pdfStudent Thesis1.08 MBAdobe PDFView/Open
SYM-AM-22-108.pdfStudent Poster578.89 kBAdobe PDFView/Open


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