The Evaluation of End-of-Repair/End-of-Maintenance Dates for Electronic Assemblies

Abstract

Electronic systems consist of multiple cards each containing multiple parts. Many parts become obsolete long before the system support is terminated. How long can legacy systems drawing from existing nonreplenishable inventories of parts and cards be sustained? This project used a stochastic discrete event simulator to track all instances of all parts in the system until repair requests cannot be fulfilled. This provides quantitative (simulation-based) analysis of: 1. The length of time that legacy inventories can be used to support an existing system; 2. Loss of support of a system over time. The analysis can also be reversed and used to forecast lifetime buy quantities (and associated confidence levels)

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Document Details

Document Type
Technical Report
Publication Date
Aug 30, 2011
Accession Number
ADA557633

Entities

People

  • Anthony Konoza
  • Doug Gerdes
  • Mike Shamet
  • Peter Sandborn
  • Raymond Nelson Iii

Organizations

  • University of Maryland

Tags

DTIC Thesaurus Topics

  • Assembly
  • Cycles
  • Demonstrations
  • Engineering
  • Failure Mode And Effect Analysis
  • Inventory
  • Life Cycles
  • Maintenance
  • Manufacturing
  • Maryland
  • Mechanical Engineering
  • Probability
  • Probability Distributions
  • Simulators
  • Standards
  • Test And Evaluation
  • Universities

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Software Engineering

Technology Areas

  • Microelectronics