Quality management for the technology sector / Joseph Berk and Susan Berk.

By:

Berk, Joseph, 1951-

Contributor(s):

text

Media type:

computer

Carrier type:

online resource

ISBN:

9780080515519
0080515517

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Print version:: Quality management for the technology sector.LOC classification:

TS156 .B467 2000eb

Online resources:

Click here to access online

Contents:

Cover; Contents; Preface; Chapter 1. Managing for Quality in the High Tech Environment; Chapter 2. The Continuous Improvement Concept; Chapter 3. Finding Your Customers; Chapter 4. Quality Measurement Systems; Chapter 5. Problem Solving; Chapter 6. Systems Failure Analysis; Chapter 7. Employee Involvement and Empowerment; Chapter 8. Corrective Action Boards and Focus Teams; Chapter 9. Statistics for Nonstatisticians; Chapter 10. Statistical Process Control; Chapter 11. ANOVA, Taguchi, and Other Design of Experiments Techniques; Chapter 12. Quality Function Deployment.

Summary: There are many standards, methods and perhaps most confusing, but most importantly of all acronyms in use in the field of quality management, and especially so in the field of technology-based products. From the seemingly simple concepts of ISO 9000 (and the military MIL standards from which that grew) to statistical and analytical methods like Statistical Process Control (SPC) the range of complexity and compliance is staggering. What the average quality engineer or manager needs is a simple guide to what these are, how they relate to one another and most critically how to take advantage of a.

Item type:

eBooks

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Includes bibliographical references and index.

There are many standards, methods and perhaps most confusing, but most importantly of all acronyms in use in the field of quality management, and especially so in the field of technology-based products. From the seemingly simple concepts of ISO 9000 (and the military MIL standards from which that grew) to statistical and analytical methods like Statistical Process Control (SPC) the range of complexity and compliance is staggering. What the average quality engineer or manager needs is a simple guide to what these are, how they relate to one another and most critically how to take advantage of a.

Print version record.

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