Nova Publishers
My Account Nova Publishers Shopping Cart
HomeBooksSeriesJournalsReference CollectionseBooksInformationSalesImprintsFor Authors
            
  Top » Catalog » Books » Education » Book Chapters » Progress in Chemometrics Research Chapters » My Account  |  Cart Contents  |  Checkout   
Quick Find
  
Use keywords to find the product you are looking for.
Advanced Search
What's New? more
The Theory and Practice of Terrorism: Alternative Paths of Inquiry
$100.80
Shopping Cart more
0 items
Information
Shipping & Returns
Privacy Notice
Conditions of Use
Contact Us
Bestsellers
01.Characterization Of Biofuel Mixtures By Online Near Infrared Spectroscopy (pp. 193-208)
02.Sampling In Practice: A Tos Toolbox Of Unit Operations (pp. 245-263)
03.Software For Interactive Curve Resolution Using Simplisma (pp. 119-135)
04.Principles Of Simple Interval Calculations (pp. 43-64)
Notifications more
NotificationsNotify me of updates to Multivariate Statistical Process Control And Optimization (pp. 209-227)
Tell A Friend
 
Tell someone you know about this product.
Multivariate Statistical Process Control And Optimization (pp. 209-227) $25.00
Authors:  Pomerantsev, A. L. and Rodionova, O. Ye. (Institute of Chemical Physics, Moscow, Russia)
Abstract:
The multivariate statistical process control (MSPC) is an approach that helps to run the real-world processes. The MSPC concept is to apply the historical process X-data for construction of linear model, which explains how the final results (i.e. quality, y) depend on X-variables. Apparently, studding this model, one can suggest the program of actions that could improve the performance in general. However, the most important thing in production is the local optimization, which means the immediate actions that are performed in the course of process (i.e., in-line) in order to improve the quality of the final product or/and to reduce the production costs.. The paper contains new ideas, which (we believe) are interesting in process control. The first one comes within the conventional MSPC approach. We suggest constructing a series of MSPC models that describe the process in order of its cycles, stage by stage. This Expanding MSPC (EMSPC) method can be used for prediction of future final product quality at the early process stages while production cycle is not over yet. This may be considered as a passive optimization as we do not suggest the correcting actions. The second idea implies the novel SIC method to find the best in-line corrections. This technique may be called the Multivariate Statistical Process Optimization (MSPO) and it also applies the idea of EMSPC. The MSPO approach may be considered as an active optimization as we always suggest the correcting actions in the course of the process. 


Available Options:
Version:
Special Focus Titles
01.Heart Failure: What a Non-Heart Failure Specialist Needs to Know
02.Bottle-Feeding: Perceptions, Practices, and Health Outcomes
03.Between Success and Failure: Assessment of Aspirations and Risk (CD Included)
04.Understanding Left and Right: An Illustrated Guide to the Political Divide
05.Phytoremediation: Methods, Management and Assessment
06.“Waste-to-Profit” (W-t-P): Value added Products to Generate Wealth for a Sustainable Economy. Volume 1
07.The Impact and Implications of Crisis: A Comprehensive Approach Combining Elements of Health and Society
08.When "We" Are Stressed: A Dyadic Approach to Coping with Stressful Events
09.The Man Brand: Why Public Campaigns Hide Half of Intimate Partner Violence
10.The Life of Abraham Lincoln: Drawn from Original Sources and Containing Many Speeches, Letters and Telegrams Hitherto Unpublished. Volume One
11.Life of Charles Dickens
12.The Inventions and Discoveries of the World’s Most Famous Scientists

Nova Science Publishers
© Copyright 2004 - 2018

Multivariate Statistical Process Control And Optimization (pp. 209-227)