QUALITY COST ANALYSIS IMPLEMENTATION HANDBOOK

Abstract

The QUICO (Quality Improvement through Cost Optimization) system covers the planning, installation, and use of quality cost data analysis. The basic idea is simply to operate a manufacturing unit or complex so that the total of quality related costs is a minimum. Quality related costs are made up of (1) expenses incurred because of not producing the highest possible quality (resultant costs), (2) expenditures made to create conditions resulting in high quality products (quality creation costs), and (3) expenditures made to measure quality levels being produced and causes of deficiencies (quality and defect inference costs). Analysis of quality cost data provides direct pay-offs in reduction of resultant costs and the major sources are discussed. Secondary benefits come from use of the data as a measurement of the effectiveness of the quality assurance effort, as a motivant to workers who must produce the high quality, and as a management guidance tool. Suggested cost accounts are given along with suggested methods of summarizing and displaying data in the most meaningful way for all levels of use. Almost all companies now have sufficient cost data to estimate cost reductions to be expected from the QUICO system.

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Document Details

Document Type
Technical Report
Publication Date
Sep 15, 1964
Accession Number
AD0631090

Entities

People

  • Donald E. Morgan
  • W. Grant Ireson

Organizations

  • Stanford University

Tags

Communities of Interest

  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Applied Mathematics
  • Contracts
  • Data Analysis
  • Data Processing
  • Data Processing Equipment
  • Education
  • Engineering
  • Engineers
  • Failure Analysis
  • Management Personnel
  • Processing Equipment
  • Quality Control
  • Reliability
  • Standards
  • Test And Evaluation
  • Test Equipment
  • Training

Readers

  • Life Cycle Cost Analysis
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference