Machine Process Capability Information Through Six Sigma

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Description

A project investigating details concerning machine process capability information and its accessibility has been conducted. The thesis of the project proposed designing a part (denoted as a machine capability workpiece) based on the major machining features of a given machine. Parts are machined and measured to gather representative production, short-term variation. The information is utilized to predict the expected defect rate, expressed in terms of a composite sigma level process capability index, for a production part. Presently, decisions concerning process planning, particularly what machine will statistically produce the minimum amount of defects based on machined features and associated tolerances, are ... continued below

Physical Description

9 pages

Creation Information

Lackner, M.F. March 13, 1998.

Context

This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 18 times . More information about this article can be viewed below.

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  • Kansas City Plant (U.S.)
    Publisher Info: Kansas City Plant, Kansas City, MO (United States)
    Place of Publication: Kansas City, Missouri

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Description

A project investigating details concerning machine process capability information and its accessibility has been conducted. The thesis of the project proposed designing a part (denoted as a machine capability workpiece) based on the major machining features of a given machine. Parts are machined and measured to gather representative production, short-term variation. The information is utilized to predict the expected defect rate, expressed in terms of a composite sigma level process capability index, for a production part. Presently, decisions concerning process planning, particularly what machine will statistically produce the minimum amount of defects based on machined features and associated tolerances, are rarely made. Six sigma tools and methodology were employed to conduct this investigation at AlliedSignal FM and T. Tools such as the thought process map, factor relationship diagrams, and components of variance were used. This study is progressing toward completion. This research study was an example of how machine process capability information may be gathered for milling planar faces (horizontal) and slot features. The planning method used to determine where and how to gather variation for the part to be designed is known as factor relationship diagramming. Components-of-variation is then applied to the gathered data to arrive at the contributing level of variation illustrated within the factor relationship diagram. The idea of using this capability information beyond process planning to the other business enterprise operations is proposed.

Physical Description

9 pages

Notes

OSTI as DE00016832

Subjects

Source

  • Sixth Annual Black Belt Symposium, Dallas, TX (US), 06/01/1998--06/04/1998; Other Information: Supercedes report DE98059405

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Identifier

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  • Other: DE98059405
  • Report No.: KCP--613-6061
  • Report No.: CONF-9806120--
  • Report No.: ON: DE98059405
  • Report No.: BR: DP
  • Grant Number: AC04-76DP00613
  • Office of Scientific & Technical Information Report Number: 16832
  • Archival Resource Key: ark:/67531/metadc625820

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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Creation Date

  • March 13, 1998

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

Description Last Updated

  • Feb. 20, 2017, 7:15 p.m.

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Citations, Rights, Re-Use

Lackner, M.F. Machine Process Capability Information Through Six Sigma, article, March 13, 1998; Kansas City, Missouri. (digital.library.unt.edu/ark:/67531/metadc625820/: accessed April 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.