
For engineers and managers, explains how to use the measuring technique to enhance quality in manufacturing and assembly operations. Describes how to measure all types of industrial data, including attribute and non-normally distributed data; identify critical process characteristics and variables; establish reasonable process and machine capability goals; and assess capability in special situations such as processes with auto-correlated data, tool wear, or multiple setups. Case studies from real life demonstrate how measures should be calculated, analyzed, and interpreted. Annotation c. by Book News, Inc., Portland, Or.
This text investigates the methodologies and mathematical frameworks required to accurately measure process capability within industrial and manufacturing environments. Davis R. Bothe, an expert in quality engineering, provides a technical guide for managers and engineers to assess process performance. The book utilizes statistical principles to help practitioners establish realistic goals and interpret data variability in complex production settings.
What You Will Find
Scope Limits
Experts and practitioners frequently cite this work as a technical reference for quality engineers tasked with maintaining manufacturing standards. Readers note the high level of mathematical detail, which serves as a practical resource for those managing industrial data and process optimization.
Page Count:
897
Publication Date:
1997-04-07
Publisher:
McGraw-Hill
ISBN-10:
0070066523
ISBN-13:
9780070066526
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