9780792355700 - statistical process control in industry: implementation and assurance of spc (mathematical modelling: theory and applications, 5, band 5) von does, r.j.; roes, c.b.; trip, a. (3 Ergebnisse)
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 115,34
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Zustand: New. In.
- Hardcover
Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore
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Zustand: New. One of the central elements of Total Quality Management is Statistical Process Control, more commonly known as SPC. This book describes the pitfalls and traps which businesses encounter when implementing and assuring SPC. Illustrations are given from practical experience in various companies. Series: Mathematical M…odelling: Theory and Applications. Num Pages: 248 pages, biography. BIC Classification: KJMV5; PBT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 15. Weight in Grams: 532. . 1999. Hardback. . . . . Books ship from the US and Ireland.
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - During the past decade interest in quality management has greatly increased. One of the central elements of Total Quality Management is Statistical Process Control, more commonly known as SPC. This book describes the pitfalls and traps which businesses enco…unter when implementing and assuring SPC. Illustrations are given from practical experience in various companies. The following subjects are discussed: implementation of SPC, activity plan for achieving statistically controlled processes, statistical tools, and lastly, consolidation and improvement of the results. Also, an extensive checklist is provided with which a business can determine to what extent it has succeeded in the actual application of SPC. Audience: This volume is written for companies which are going to implement SPC, or which need a new impetus in order to get SPC properly off the ground. It will be of interest in particular to researchers whose work involves statistics and probability, production, operation and manufacturing management, industrial organisation and mathematical and quantitative methods. It will also appeal to specialists in engineering and management, for example in the electronic industry, discrete parts industry, process industry, automotive and aircraft industry and food industry.
