Feasibility of a Computer Simulation Method for Evaluating Human Effects on Nuclear Systems Safety.

Abstract

The objective was to determine the feasibility of integrating human resources data and miantenance task data with a computer simulation technique in order to develop a computer based tool for performing safety analyses of nuclear systems. Thirteen human resource factors relevant to maintenance operations of nuclear systems were identified. A job sequence network and maintenance task data were developed for the Short Range Attack Missile (SRAM) system. A three category taxonomic scheme was devised to describe the SRAM maintenance tasks. Five human resource factors were selected for further analysis. Quantitative relationships were developed between each of the factors (work motivation, work experience, psychological fatigue, written job instructions, and ambient temperature) and the two maintenance task performance factors of time and hazard for the three job categories using subjective estimation techniques. The 30 equations, the SRAM maintenance network, and the SRAM task performance data were integrated with the SAINT (System Analysis of Integrated Networks of Tasks) computer simulation technique to provide a deterministic/stochastic model for predicting maintenance task time and hazard values from varying imput human resource conditions. The results, in general, show the feasibility of a computer analytic method for evalauting human efforts on nuclear systems safety.

Document Details

Document Type
Technical Report
Publication Date
May 01, 1976
Accession Number
ADA025310

Entities

People

  • Deborah Seifert
  • Robert C. Johnson
  • Thomas J. Hall
  • Wendy Bohnett Campbell
  • William B. Askren

Organizations

  • Brooks Air Force Base

Tags

DTIC Thesaurus Topics

  • Computer Simulations
  • Computers
  • Equations
  • Human Resources
  • Instructions
  • Maintenance
  • Motivation
  • Safety
  • Safety Analysis
  • Sequences
  • Simulations
  • Simulators
  • Task Performance And Analysis

Readers

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