Improving Multi-Component Maintenance Acquisition with a Greedy Heuristic Local Algorithm

Abstract

As many large-scale Department of Defense (DoD) systems age, and due to budgetary and performance efficiency concerns, there is a need to improve the decision making process for system sustainment, including maintenance, repair, and overhaul (MRO) operations and the acquisition of MRO parts. To help address the link between sustainment policies and acquisition, this work develops a greedy heuristic-based local search algorithm to provide a system maintenance schedule for multi-component systems, coordinating recommended component maintenance times to reduce system downtime costs, thereby enabling effective acquisition.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2013
Accession Number
ADA586417

Entities

People

  • Jose E Ramirez-Marquez
  • Kash Barker
  • Sifat Kalam

Organizations

  • University of Oklahoma

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Algorithms
  • Business Administration
  • Department Of Defense
  • Downtime
  • Efficiency
  • Industrial Engineering
  • Logistics
  • Maintenance
  • Management Personnel
  • Operations Research
  • Organizational Structure
  • Preventive Maintenance
  • Reliability Engineering
  • Supply Chain
  • Systems Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Defense Acquisition Program Management
  • Logistics and Supply Chain Management.