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Multivariate Total Quality Control

Multivariate Total Quality Control
Author: Carlo Lauro
Publisher: Springer Science & Business Media
Total Pages: 247
Release: 2012-12-06
Genre: Business & Economics
ISBN: 3642487106

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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).


Multivariate Quality Control

Multivariate Quality Control
Author: Camil Fuchs
Publisher: CRC Press
Total Pages: 224
Release: 1998-04-22
Genre: Business & Economics
ISBN: 148227373X

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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


Multivariate Analysis of Quality

Multivariate Analysis of Quality
Author: Harald Martens
Publisher: John Wiley & Sons
Total Pages: 476
Release: 2001-02-08
Genre: Science
ISBN: 9780471974284

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Die Datenanalyse mit mehreren Variablen gehört zum Alltag der Chemometrie. Die Autoren sind ausgezeichnete Spezialisten auf dem Gebiet der multivariaten Analyse. Sie geben hier in saloppem Stil und aufgelockert durch zahlreiche witzige Cartoons eine verständliche Einführung in dieses Thema. Erläutert werden eine Reihe von Anwendungen bei der Qualitätskontrolle, insbesondere in der Nahrungsmittelindustrie. Mit zahlreichen Kontrollfragen und Übungsaufgaben!


Multivariate Quality Control

Multivariate Quality Control
Author: CAMIL. KENETT FUCHS (RON S.)
Publisher: CRC Press
Total Pages: 224
Release: 2020-06-30
Genre:
ISBN: 9780367579326

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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.


Handbook of Total Quality Management

Handbook of Total Quality Management
Author: Christian N. Madu
Publisher: Springer Science & Business Media
Total Pages: 830
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 1461552818

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Quality issues are occupying an increasingly prominent position in today's global business market, with firms seeking to compete on an international level on both price and quality. Consumers are demanding higher quality standards from manufacturers and service providers, while virtually all industrialized nations have instituted quality programs to help indigenous corporations. A proliferation in nation-wide and regional quality awards such as the Baldridge award and certification to ISO 9000 series are making corporations world-wide quality-conscious and eager to implement programs of continuous improvement. To achieve competitiveness, quality practice is a necessity and this book offers an exposition of how quality can be attained. The Handbook of Total Quality Management: Explores in separate chapters new topics such as re-engineering, concurrent engineering, ISO standards, QFD, the Internet, the environment, advanced manufacturing technology and benchmarking Discusses the views of leading quality practitioners such as Derning, Juran, Ishikawa, Crosby and Taguchi throughout the book Considers important strategies for quality improvement, including initiation and performance evaluation through auditing, re-engineering, and process and design innovations. With contributions from 47 authors in 13 different countries, the Handbook of Total Quality Management is invaluable as a reference guide for anyone involved with quality management and deployment, including consultants, practitioners and engineers in the professional sector, and students and lecturers of information systems, management and industrial engineering.


Encyclopedia of Operations Research and Management Science

Encyclopedia of Operations Research and Management Science
Author: Saul I. Gass
Publisher: Springer Science & Business Media
Total Pages: 774
Release: 2012-12-06
Genre: Business & Economics
ISBN: 1461304598

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Operations Research: 1934-1941," 35, 1, 143-152; "British The goal of the Encyclopedia of Operations Research and Operational Research in World War II," 35, 3, 453-470; Management Science is to provide to decision makers and "U. S. Operations Research in World War II," 35, 6, 910-925; problem solvers in business, industry, government and and the 1984 article by Harold Lardner that appeared in academia a comprehensive overview of the wide range of Operations Research: "The Origin of Operational Research," ideas, methodologies, and synergistic forces that combine to 32, 2, 465-475. form the preeminent decision-aiding fields of operations re search and management science (OR/MS). To this end, we The Encyclopedia contains no entries that define the fields enlisted a distinguished international group of academics of operations research and management science. OR and MS and practitioners to contribute articles on subjects for are often equated to one another. If one defines them by the which they are renowned. methodologies they employ, the equation would probably The editors, working with the Encyclopedia's Editorial stand inspection. If one defines them by their historical Advisory Board, surveyed and divided OR/MS into specific developments and the classes of problems they encompass, topics that collectively encompass the foundations, applica the equation becomes fuzzy. The formalism OR grew out of tions, and emerging elements of this ever-changing field. We the operational problems of the British and U. s. military also wanted to establish the close associations that OR/MS efforts in World War II.


Total Quality Management and Just-in-Time Purchasing

Total Quality Management and Just-in-Time Purchasing
Author: Hale Kaynak
Publisher: Routledge
Total Pages: 343
Release: 2013-06-17
Genre: Business & Economics
ISBN: 1135666822

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This study investigates the relation of total quality management (TQM) and just-in-time purchasing (JITP) with respect to firms' performance, based on theories from operations management, organization theory, strategic management and marketing. U.S. companies have implemented TQM and JITP techniques to improve their global competitive position. The lack of empirical research on how these techniques effect firms performance makes it necessary to explain their strategic values as management innovations. In this study, a cross-sectional mail survey was used with the target population of firms in the continental United States that have implemented either technique, or both. The results indicate that the extent of TQM and JITP implementation positively correlates with a firm's performance. Furthermore, the relation between JITP and financial and market performance is more significant in those industries that face high as opposed to low foreign competition. In this study, the validity of findings was assessed in four parts: statistical conclusion, internal, construct, and external validity. Each validity type is defined and its threats are discussed. Based on the findings, a revised research model is offered. The author also notes likely avenues of future research for theorists and practitioners.


IAENG Transactions on Engineering Sciences

IAENG Transactions on Engineering Sciences
Author: Sio-Iong Ao
Publisher: CRC Press
Total Pages: 452
Release: 2014-04-07
Genre: Computers
ISBN: 1315761815

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Two large international conferences on Advances in Engineering Sciences were held in Hong Kong, March 13-15, 2013, under the International MultiConference of Engineers and Computer Scientists (IMECS 2013), and in London, U.K., 3-5 July, 2013, under the World Congress on Engineering 2013 (WCE 2013) respectively. IMECS 2013 and WCE 2013 were organize


Multivariate Statistical Quality Control Using R

Multivariate Statistical Quality Control Using R
Author: Edgar Santos-Fernández
Publisher: Springer Science & Business Media
Total Pages: 134
Release: 2012-09-22
Genre: Business & Economics
ISBN: 1461454522

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​​​​​The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis. These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices.


Classification and Multivariate Analysis for Complex Data Structures

Classification and Multivariate Analysis for Complex Data Structures
Author: Bernard Fichet
Publisher: Springer Science & Business Media
Total Pages: 460
Release: 2011-03-04
Genre: Mathematics
ISBN: 3642133126

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The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to discover and characterize trends, and to automatically bag anomalies. This volume provides the latest advances in data analysis methods for multidimensional data which can present a complex structure: The book offers a selection of papers presented at the first Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society. Special attention is paid to new methodological contributions from both the theoretical and the applicative point of views, in the fields of Clustering, Classification, Time Series Analysis, Multidimensional Data Analysis, Knowledge Discovery from Large Datasets, Spatial Statistics.