Matlab® in Quality Assurance Sciences

Informationen zum Autor Dr Leonid Burstein is a staff member of Kinneret Academic College (Quality Assurance Department), before that he taught at the Technion -IIT, at ORT Braude College, and at several other academic institution in Western and Lower Galilee, in Israel. His scientific work has been reported in more than 50 publications in leading scientific journals. He is author and contributor of published textbooks, monographs, and an Editorial Board member and reviewer for several international scientific journals. Klappentext MATLAB® in Quality Assurance Sciences fills a gap in the highly topical field of quality assurance (QA). It is a compact guide for students! engineers! and scientists in this field. It concentrates on MATLAB® fundamentals with examples of application to a wide range of current problems from general! nano and bio-technology! and statistical control! to medicine and industrial management. Examples cover both the school and advanced level; comprising calculations of total quality management! six sigma! time series! process improvement! metrology! quality control! human factors in quality assurance! measurement and testing techniques! quality project and function management! and customer satisfaction. This book covers key topics! including: the basics of software with examples; graphics and representations; numerical computation! scripts and functions for QA calculations; ODE and PDEPE solvers applied to QA problems; curve fitting and time series tool interfaces in calculations of quality; and statistics calculations applied to quality testing. Zusammenfassung Many books are available on MATLAB(R) programming for engineers in general or in some specific area! but none in the highly topical field of quality assurance (QA). MATLAB(R) in Quality Assurance Sciences fills this gap as a compact guide for students! engineers! and scientists in this field. Inhaltsverzeichnis Basics of software with application examples; Graphics and presentations; Numerical computations! scripts and functions for QA calculations; ODE and PDEPE solvers applied to QA problems; Curve fitting and time series tool interfaces in calculations of quality; Statistics calculations applied to quality testing. ...

Autorentext
Dr Leonid Burstein is a staff member of Kinneret Academic College (Quality Assurance Department), before that he taught at the Technion -IIT, at ORT Braude College, and at several other academic institution in Western and Lower Galilee, in Israel. His scientific work has been reported in more than 50 publications in leading scientific journals. He is author and contributor of published textbooks, monographs, and an Editorial Board member and reviewer for several international scientific journals.

Klappentext

MATLAB® in Quality Assurance Sciences fills a gap in the highly topical field of quality assurance (QA). It is a compact guide for students, engineers, and scientists in this field. It concentrates on MATLAB® fundamentals with examples of application to a wide range of current problems from general, nano and bio-technology, and statistical control, to medicine and industrial management. Examples cover both the school and advanced level; comprising calculations of total quality management, six sigma, time series, process improvement, metrology, quality control, human factors in quality assurance, measurement and testing techniques, quality project and function management, and customer satisfaction. This book covers key topics, including: the basics of software with examples; graphics and representations; numerical computation, scripts and functions for QA calculations; ODE and PDEPE solvers applied to QA problems; curve fitting and time series tool interfaces in calculations of quality; and statistics calculations applied to quality testing.

Zusammenfassung
Many books are available on MATLAB(R) programming for engineers in general or in some specific area, but none in the highly topical field of quality assurance (QA). MATLAB(R) in Quality Assurance Sciences fills this gap as a compact guide for students, engineers, and scientists in this field.

Inhalt

Basics of software with application examples; Graphics and presentations; Numerical computations, scripts and functions for QA calculations; ODE and PDEPE solvers applied to QA problems; Curve fitting and time series tool interfaces in calculations of quality; Statistics calculations applied to quality testing.