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Quality management for the technology sector /

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 gr...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Berk, Joseph, 1951-
Otros Autores: Berk, Susan, 1955-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston : Newnes, �2000.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Berk, Joseph,  |d 1951- 
245 1 0 |a Quality management for the technology sector /  |c Joseph Berk and Susan Berk. 
260 |a Boston :  |b Newnes,  |c �2000. 
300 |a 1 online resource (ix, 208 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a 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. 
505 0 |a 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. 
588 0 |a Print version record. 
546 |a English. 
650 0 |a Quality control. 
650 0 |a Factory management. 
650 2 |a Quality Control  |0 (DNLM)D011786 
650 6 |a Qualit�e  |x Contr�ole.  |0 (CaQQLa)201-0072623 
650 6 |a Usines  |x Direction.  |0 (CaQQLa)201-0017589 
650 7 |a quality control.  |2 aat  |0 (CStmoGRI)aat300056087 
650 7 |a BUSINESS & ECONOMICS  |x Quality Control.  |2 bisacsh 
650 7 |a TECHNOLOGY & ENGINEERING  |x Quality Control.  |2 bisacsh 
650 7 |a Factory management  |2 fast  |0 (OCoLC)fst00919785 
650 7 |a Quality control  |2 fast  |0 (OCoLC)fst01084966 
700 1 |a Berk, Susan,  |d 1955- 
776 0 8 |i Print version:  |a Berk, Joseph, 1951-  |t Quality management for the technology sector.  |d Boston : Newnes, �2000  |z 0750673168  |z 9780750673167  |w (DLC) 00022363  |w (OCoLC)43434659 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780750673167  |z Texto completo