Optimal Allocation and Statistical Control of Assembly Processes

Abstract

An analytic procedure was developed to predict the expected proportion of defectives produced, using a specified set of fabrication and assembly processes. This procedure was demonstrated for a General assembly process, a Peg-in-Hole assembly process and a Box-and-Cover assembly process. This procedure was compared to the formulation of a Monte Carlo simulation model and shown to require the same initial information. Two applications of the results of this procedure were developed. The first was an optimization model used to allocate a fixed amount of capital improvements to a discrete number of possible candidate assembly processes. The second was to statistically control an assembly process using a p Chart. A numerical example illustrating the procedure and its applications was also presented. Keywords: Theses; Computer program; Numerical analysis.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1990
Accession Number
ADA218322

Entities

People

  • Peter J. Hofmann

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Assembly
  • Classification
  • Computer Programming
  • Computer Programs
  • Computers
  • Fabrication
  • Failure Mode And Effect Analysis
  • Mainframe Computers
  • Manufacturing
  • Monte Carlo Method
  • Numerical Integration
  • Optimization
  • Probability
  • Procedures (Computers)
  • Random Variables
  • Simulations
  • Systems Engineering

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