ANALYSIS OF STOCHASTIC NETWORKS

Abstract

The purpose of this research was to: (1) develop a general purpose GERT Simulation Program, (2) investigate resultant distributions of GERT networks containing all AND nodes to determine validity of the PERT normality assumptions, and (3) investigate analysis of AND nodes through analytical and simulation methods for distribution of the equivalent time parameter. The Simulation Model is a fast, flexible, user-oriented computer program requiring only one input card for each activity in the network. Five probability density functions are available for use in describing the distribution of activity durations. Program output includes a criticality index on each activity and node analysis on specified nodes, including mean, variance, probability of realization and histograms of node realization times. Various GERT networks were simulated to provide examples of the use of the Simulation Model and verify results through statistical tests. Analysis of resultant distributions of PERT networks verified the PERT normality assumptions utilizing approximation formulas for mean and variance of activity durations. The merge bias correction procedure utilized to produce better approximations of network realization times was found not applicable to general solution of GERT networks containing AND nodes.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 1966
Accession Number
AD0635234

Entities

People

  • William W. Mcdonald

Organizations

  • Arizona State University

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Science
  • Data Storage Systems
  • Engineering
  • Goodness Of Fit Tests
  • Industrial Engineering
  • Information Science
  • New York
  • Normal Distribution
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Statistical Tests
  • United States

Fields of Study

  • Computer science

Readers

  • Approximation Theory.
  • Computer Networking
  • Computer Science.