Machine Process Capability Information Through Six Sigma
Conference
·
OSTI ID:16832
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.
- Research Organization:
- Kansas City Plant, Kansas City, MO (US)
- Sponsoring Organization:
- US Department of Energy (US)
- DOE Contract Number:
- AC04-76DP00613
- OSTI ID:
- 16832
- Report Number(s):
- KCP--613-6061; CONF-9806120--; ON: DE98059405; BR: DP; ON: DE98059405; BR: DP
- Country of Publication:
- United States
- Language:
- English
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