USMC Inventory Control Using Optimization Modeling and Discrete Event Simulation

Abstract

Marine Corps Installation and Logistics Command is seeking assistance to improve operations within Marine Corps Maintenance Production plants. The problem addressed in this thesis deals with production lines: there must be a proper balance of parts on hand and inventory costs to ensure optimal production output. This problem becomes increasingly difficult to solve as production-line complexity increases and overall budget flexibility decreases. As the Marine Corps enters a time of fiscal austerity and reduced overseas combat operations, it is critical to optimize its processes so major end items are refurbished in the quickest and most cost-effective manner, thereby ensuring maximum combat effectiveness. This research focuses on developing a proof of concept analytical tool to better facilitate order management of repair parts. This tool integrates optimization and discrete-event simulation. This construct can potentially provide an effective means in improving order management decisions. However, the effectiveness of the tool is contingent on accurate vehicle condition history, parts order history, and/or future estimated parts shipping dates. Information derived from the analysis can be used to make recommendations for reorder policy, enable future model development, and improve the overall maintenance production process.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2016
Accession Number
AD1029730

Entities

People

  • Timothy A. Curling

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Application Software
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Analysis
  • Information Science
  • Inventory Control
  • Marine Corps
  • Mathematical Models
  • Monte Carlo Method
  • Optimization
  • Simulations
  • Spreadsheet Software
  • Statistical Analysis
  • Supply Chain
  • Supply Chain Management
  • Word Processors

Fields of Study

  • Engineering

Readers

  • Logistics and Supply Chain Management.
  • Maritime Combat Support and Expeditionary Logistics.
  • Systems Analysis and Design