Machine Process Capability Information Through Six Sigma

摘要

A project investigating details concerning machine process capability information211u001eand its accessibility has been conducted. The thesis of the project proposed 211u001edesigning a part (denoted as a machine capability workpiece) based on the major 211u001emachining features of a given machine. Parts are machined and measured to gather 211u001erepresentative production, short-term variation. The information is utilized to 211u001epredict the expected defect rate, expressed in terms of a composite sigma level 211u001eprocess capability index, for a production part. Presently, decisions concerning 211u001eprocess planning, particularly what machine will statistically produce the 211u001eminimum amount of defects based on machined features and associated tolerances, 211u001eare rarely made. Six sigma tools and methodology were employed to conduct this 211u001einvestigation at AlliedSignal FM and T. Tools such as the thought process map, 211u001efactor relationship diagrams, and components of variance were used. This study is 211u001eprogressing toward completion. This research study was an example of how machine 211u001eprocess capability information may be gathered for milling planar faces 211u001e(horizontal) and slot features. The planning method used to determine where and 211u001ehow to gather variation for the part to be designed is known as factor 211u001erelationship diagramming. Components-of-variation is then applied to the gathered 211u001edata to arrive at the contributing level of variation illustrated within the 211u001efactor relationship diagram. The idea of using this capability information beyond 211u001eprocess planning to the other business enterprise operations is proposed.