Isbn: 9780471435747 - statistical process adjustment: 369 (wiley series in probability and statistics) (21 resultados)

Hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

hardcover. Condición: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Hardcover. Condición: Very Good. Statistical Process Adjustment: 369 (Wiley Series in Probability and Statistics) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.…

Condición: New. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Condición: new.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. In English.

Condición: New.

Condición: New. pp. xviii + 357 Illus.

Condición: New. A comprehensive presentation of control theory for the SPC community Quality control has become a major concern in today's competitive industrial environment, and industrial engineers are constantly seeking to make process adjustments that will optimize production efficiency and improve product quality. Series: Wiley Series in Probability and Statistics. Num Pages: 358 pages, Ill. BIC Classification: PBT; TGPQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 244 x 167 x 27. Weight in Grams: 704. . 2002. 1st Edition. Hardcover. . . . .…

Condición: New. pp. xviii + 357 1st Edition.

Gebunden. Condición: New. ENRIQUE del CASTILLO is an Associate Professor in the Department of Industrial Manufacturing and Engineering at the Pennsylvania State University.A comprehensive presentation of control theory for the SPC communityQuality control has become a major conc.

Hardcover. Condición: Brand New. 357 pages. 9.50x6.50x1.00 inches. In Stock.

Condición: New. A comprehensive presentation of control theory for the SPC community Quality control has become a major concern in today's competitive industrial environment, and industrial engineers are constantly seeking to make process adjustments that will optimize production efficiency and improve product quality. Series: Wiley Series in Probability and Statistics. Num Pages: 358 pages, Ill. BIC Classification: PBT; TGPQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 244 x 167 x 27. Weight in Grams: 704. . 2002. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condición: new. Hardcover. A comprehensive presentation of control theory for the SPC community Quality control has become a major concern in today's competitive industrial environment, and industrial engineers are constantly seeking to make process adjustments that will optimize production efficiency and improve product quality. Statistical Process Adjustment for Quality Control fills the need for a comprehensive presentation of control theory at the elementary level, focusing on statistical methods used in process adjustment (Engineering Process Control Methods or EPC) and their relation to the classical methods of process monitoring, particularly those using SPC control charts. The author presents the severe effects of autocorrelated data on control chart performance and advocates the use of active adjustment methods for improving the quality of products and processes. He uses a detailed explanation of Deming's funnel experiment to illustrate the need for process adjustment when there are process dynamics, and presents an in-depth description of ARIMA models and Transfer Function models from a statistical point of view. He offers several adjustment strategies, including Minimum Variance Controllers, PID controllers, EWMA controllers, deadband policies, and constrained variance controllers. The book also offers integration strategies for SPC and EPC methods, discusses multivariate ARMAX models used for multivariate adjustment, and provides readers with a brief introduction to frequency domain and state-space methods. Statistical Process Adjustment for Quality Control is a timely resource for students, industrial engineers, and applied statisticians in both academic and industrial settings. Unique features include: * A strong focus on quality control of products and processes * Broad coverage of SPC, adjustments, and time series under one cover * Abundant examples using both real process data and simulations * Detailed explanations on how to use SAS and MATLAB on an accompanying ftp site * Coverage of spreadsheet simulation and optimization models in Microsoft(r) Excel * Numerous chapter problems and detailed bibliography of relevant literature for further reading A comprehensive presentation of control theory for the SPC community Quality control has become a major concern in today's competitive industrial environment, and industrial engineers are constantly seeking to make process adjustments that will optimize production efficiency and improve product quality. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condición: Brand New. 357 pages. 9.50x6.50x1.00 inches. In Stock. This item is printed on demand.