An Integrated Univariate And Multivariate Quality Control System
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Author | : |
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Total Pages | : |
Release | : 2003 |
Genre | : |
ISBN | : |
This thesis proposes a new approach in statistical control chart design called Integrated Quality Control (IQC). IQC integrates all components involved in the process of control chart design. In traditional control chart design, chart designers start the process by several given assumptions including the normal distribution of quality variable(s), independence of samples and known model parameters in economical design of control charts. IQC verifies all of these assumptions and provides alternative tools to check if any of these assumptions are violated. To achieve this goal IQC utilizes a rich library of control charts. This thesis further introduces a univariate control chart for nonnormal variables and a cause selecting statistic for identifying the contributing variables in multivariate systems when an out of control signal is detected. In multivariate systems, IQC uses Hotelling T2 and MEWMA control charts for detection of out-ofcontrol signals and by using the introduced cause selecting procedure identifies the outof-control parameters. IQC extends existing research by proposing a method to calculate the cost parameters of the economic model. Economical design of control charts in multivariate system is an important part of control chart design and all of developed models by researchers assume the time between failures in the system follows an exponential distribution. IQC extends the economic design of Hotelling T2 and MEWMA control charts to systems under Weibull shock model which is a more appropriate model for production systems with mechanical parts. Finally, IQC introduces a data streaming protocol that integrates measuring devices with the quality system, overcoming common physical limitations to enable real-time monitoring and control.
Author | : Carlo Lauro |
Publisher | : Springer Science & Business Media |
Total Pages | : 247 |
Release | : 2012-12-06 |
Genre | : Business & Economics |
ISBN | : 3642487106 |
In the last decades, the production of goods and the offer of services have become quite complex activities mostly because of the markets globalisation, of the continuous push to the innovation and of the constant requests from more and more demanding markets. The main objective of a company system has become the achievement of the quality for the business management cycle. This cycle goes from the design (Plan) to the production (Do), from the control (Check) to the man agement (Action), as well as to the marketing and distribution. Nowadays, the Total Quality of the company system is evaluated, according to the ISO 9000 regulations, in terms of its capacity to adjust the design and the pro duction to the needs expressed (explicitly or implictly) by the final users of a product/service. In this process, the use of statistical techniques is essential not only in the classical approach of Quality Control of a product but also, and most importantly, in the Quality Design oriented to the satisfaction of customers. Thus, Total Quality refers to the global capacity of a company to fit its system to the real needs of its customers by designing products which are able to match the customers' taste and by implementing a statistical control of both the product and the Customer Satisfaction. In such a process of design and evaluation, several statistical variables are involved and with a different nature (numerical, categorical, ordinal).
Author | : Murat Caner Testik |
Publisher | : LAP Lambert Academic Publishing |
Total Pages | : 92 |
Release | : 2010-10 |
Genre | : |
ISBN | : 9783838311043 |
Univariate and multivariate quality control charts are important tools for process/product monitoring and improvement. This monograph offers the developments and analyses of univariate and multivariate control charts, which are based on a generalized likelihood ratio (GLR) approach. It is commonly assumed that a process fault may shift the mean of a monitored statistic persistently to an unknown but constant value. However, there are situations such that a mean change is not constant but time varying. Incorporating a priori knowledge of a fault signature, a univariate GLR control chart is investigated for monitoring fault signatures. The GLR methodology can also be used in developing multivariate process control charts. Here, the GLR methodology is used to unify the development of various multivariate extensions to the CUSUM control charts. In addition to the GLR control charts under a normal distribution model, another GLR control chart is also proposed for monitoring a non- homogenous Markovian queuing system.
Author | : Camil Fuchs |
Publisher | : CRC Press |
Total Pages | : 224 |
Release | : 1998-04-22 |
Genre | : Business & Economics |
ISBN | : 148227373X |
Provides a theoretical foundation as well as practical tools for the analysis of multivariate data, using case studies and MINITAB computer macros to illustrate basic and advanced quality control methods. This work offers an approach to quality control that relies on statistical tolerance regions, and discusses computer graphic analysis highlightin
Author | : Marina S. Yogendran |
Publisher | : |
Total Pages | : 0 |
Release | : 1991 |
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ISBN | : |
Author | : Kai Yang |
Publisher | : McGraw Hill Professional |
Total Pages | : 318 |
Release | : 2004-03-17 |
Genre | : Technology & Engineering |
ISBN | : 0071501371 |
Multivariate statistical methods are an essential component of quality engineering data analysis. This monograph provides a solid background in multivariate statistical fundamentals and details key multivariate statistical methods, including simple multivariate data graphical display and multivariate data stratification. * Graphical multivariate data display * Multivariate regression and path analysis * Multivariate process control charts * Six sigma and multivariate statistical methods
Author | : CAMIL. KENETT FUCHS (RON S.) |
Publisher | : CRC Press |
Total Pages | : 224 |
Release | : 2020-06-30 |
Genre | : |
ISBN | : 9780367579326 |
This solutions-oriented reference provides a sound theoretical foundation as well as practical tools for the effective, efficient analysis of multivariate data-employing case studies and MINITAB computer macros throughout to illustrate basic and advanced quality control methods. Presenting both standard and new analytical and graphical techniques for data analysis. Multivariate Quality Control offers a unique approach to quality control that relies on statistical tolerance regions...discusses computer graphic analysis techniques...introduces fundamental quality control issues...reviews inferential methods in the multivariate normal case and gives analysis techniques for externally assigned targets...furnishes step-by-step examples of process capability studies on multivariate data...compares newly collected observations to targets determined from a reference sample...shows how to analyze data with multivariate control charts...supplies methods for detecting variables that cause out-of-control signals...and more. Written by two internationally regarded authorities. Multivariate Quality Control is a useful, hands-on resource for quality, quality control, reliability, manufacturing, process and industrial engineers and managers; industrial statisticians; and upper-level undergraduate and graduate students in these disciplines. Book jacket.
Author | : Hari Vasudevan |
Publisher | : Springer |
Total Pages | : 697 |
Release | : 2018-11-04 |
Genre | : Technology & Engineering |
ISBN | : 9811324905 |
This book presents the outcomes of the International Conference on Intelligent Manufacturing and Automation (ICIMA 2018) organized by the Departments of Mechanical Engineering and Production Engineering at Dwarkadas J. Sanghvi College of Engineering, Mumbai, and the Indian Society of Manufacturing Engineers. It includes original research and the latest advances in the field, focusing on automation, mechatronics and robotics; CAD/CAM/CAE/CIM/FMS in manufacturing; product design and development; DFM/DFA/FMEA; MEMS and Nanotechnology; rapid prototyping; computational techniques; industrial engineering; manufacturing process management; modelling and optimization techniques; CRM, MRP and ERP; green, lean, agile and sustainable manufacturing; logistics and supply chain management; quality assurance and environment protection; advanced material processing and characterization; and composite and smart materials.
Author | : Mohamed Ouhsain |
Publisher | : |
Total Pages | : |
Release | : 2007 |
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Author | : Enrique del Castillo |
Publisher | : Wiley-Interscience |
Total Pages | : 390 |
Release | : 2002-04-04 |
Genre | : Mathematics |
ISBN | : |
Quality control is a major concern and the best method for ensuring proper quality is to establish process adjustments. This text presents statistical methods for process adjustment and their relation to the classical methods of process monitoring.