Improved Acquisition for System Sustainment: Multiobjective Tradeoff Analysis for Condition-Based Decision-Making

Abstract

The aim of this research work is to develop a framework for making coordinated acquisitions decisions, integrating: (i) schedules of maintenance based on the condition of system components, and (ii) trigger acquisition of multiple vendor maintenance, repair, and overhaul (MRO) supplies and services. To do so, we develop a multi-objective optimization maintenance/acquisition scheduling algorithm where tradeoffs are made between two competing objectives: maximizing condition-based component reliability while maximizing the sensitivity of condition-based reliability to changes in the component s condition (e.g., degradation). This scheduling algorithm integrates with an acquisition algorithm to addresses vendor lead-time. Case studies broadly inspired by Tinker Air Force Base, the largest Air Force MRO hub in the US, in Oklahoma City, OK, illustrate the framework.

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Document Details

Document Type
Technical Report
Publication Date
Oct 21, 2013
Accession Number
ADA612644

Entities

People

  • Kash Barker

Organizations

  • University of Oklahoma

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Algorithms
  • Bayesian Networks
  • Case Studies
  • Engineering
  • Genetic Algorithms
  • Lead Time
  • Logistics
  • Maintenance
  • Multiobjective Optimization
  • Operations Research
  • Optimization
  • Probabilistic Models
  • Probability
  • Scheduling (Production)
  • Systems Engineering

Readers

  • Logistics and Supply Chain Management.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.