Dynamic Maintenance Scheduling for a Stochastic Telecommunication Network: Determination of Performance Factors.

Abstract

This research proposes an analytical approach to access the relationship between maintenance facility location and communication network performance measurement using a selected dynamic maintenance scheduling protocol. There were three objectives established for this effort. The first objective was the determination of an upper-bound upon the level of performance for a telecommunication network using dynamically scheduled maintenance to evaluate maintenance depot location. This was achieved by using a two-stage algorithm, first locate a maintenance depot by using stochastic algorithms, and then to measure the resulting impact upon performance with a multi-commodity network flow model. The second objective was to develop the metrics by which network performance should be measured. This was accomplished by comparing multiple criteria using a constraint conversion technique. The third objective created the mathematical models necessary to evaluate network operations. The models were created within a least-cost multi-commodity network flow environment. The approaches used in this research are offered as initial investigations toward the long-term goal of automated maintenance scheduling for a stochastic communication network.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1995
Accession Number
ADA293829

Entities

People

  • Todd S. Patterson

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Communication Networks
  • Communication Systems
  • Computer Programming
  • Computer Programs
  • Department Of Defense
  • Flow Network
  • Linear Programming
  • Maintenance Personnel
  • Mathematical Models
  • Networks
  • Operations Research
  • Reliability
  • Scheduling (Production)
  • Throughput
  • Time Intervals

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Instructional Design and Training Evaluation.
  • Operations Research