A Tutorial and Workbook on the Statistical Analysis of Data and Quality Assurance for the Shipbuilding Industry

Abstract

The Tutorial/Workbook was developed in conjunction with a set of four (4) videotapes to convey the need and applicability of statistical quality control concepts to the shipbuilding industry. The workbook can be used alone or in conjunction with the videotapes which are available through the Audio Visual Material Available for Shipyard Training (AVMAST) catalog. Inquiries should be made to: Transportation Research Institute, University of Michigan, 2901 Baxter Road, Ann Arbor, Michigan 48109. Attn: AVMAST Coordinator. The titles of the video tapes are: (1) Deming {philosophy of Modern Management, (2) Statistical Control Charts, (3) Statistical Techniques for Discrete Random Experiments, (4) Statistical Techniques for Continuous Random Experiments. The Tutorial/Workbook is the result of a project developed by the Ship Production Committee's Education and Training Panel (SP-9) under the auspices of the University of Michigan Transportation Research Institute, Marine Systems Division. Funding and support for the project was through the National Shipbuilding and Research Program of the U. S. Department of Transportation by Direction of the Maritime Administration.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1985
Accession Number
ADA453455

Entities

People

  • David C. Sonderman
  • Frank C. Kaminsky
  • Robert J. Graves

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Assembly
  • Data Analysis
  • Data Science
  • Data Sets
  • Engineering
  • Information Science
  • Mass Production
  • Mathematical Models
  • Mathematics
  • Measurement
  • Naval Architecture
  • Normal Density Functions
  • Production
  • Shipbuilding
  • Statistical Analysis
  • Statistics
  • Time Standards

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Personnel Management and Statistics in the Military and Department of Defense
  • STEM Education