Assembly of Systems Having Maximum Reliability

Abstract

The first problem considered in the paper is concerned with the assembly of independent components into parallel systems so as to maximize the expected number of system that perform satisfactorily. Associated with each component is a probability of it performing successfully. It is shown that an optimal assembly is obtained if the reliability of each assembled system can be made equal. If such equality is not attainable, then bounds are given so that the maximum expected number of systems that perform satisfactorily will lie within these stated bounds; the bounds being a function of an arbitrarily chosen assembly. An improvement algorithm is also presented. A second problem treated is concerned with the optimal design of a system. Instead of assembling given units, there is an opportunity to control their quality, i.e., the manufacturer is able to fix the probability, p, of a unit performing successfully. However, his resources are limited so that a constraint is imposed on these probabilities.

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Document Details

Document Type
Technical Report
Publication Date
Sep 29, 1972
Accession Number
AD0750690

Entities

People

  • Cyrus Derman
  • Gerald J. Lieberman
  • Sheldon M. Ross

Organizations

  • Stanford University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Assembly
  • Commerce
  • Contracts
  • Equations
  • Inequalities
  • Instructions
  • Mathematics
  • Military Research
  • Operations Research
  • Probability
  • Random Variables
  • Reliability
  • Security
  • Universities

Fields of Study

  • Engineering

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Operations Research
  • Software Engineering.