A closer look at loss function / [edited by Tatjana V. Sibalija].

Other author Sibalija, Tatjana V.
Format Electronic
Publication InfoNew York : Nova Science Publishers, Inc., [2019]
Description1 online resource
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

SeriesApplied statistical science
Contents A brief note on quality loss functions used in quality engineering / Onur Köksoy -- The Taguchi loss and inverted loss functions / Matei Demetrescu, Adrian Stere Paris and Constantin Târcolea -- Physical model of the quality policy / Peter Eniko and Davorin Kramar -- From Taguchi's orthogonal arrays to full factorial designs and back / Zorica A. Veljković, Slobodan L.J. Radojević and Vesna K. Spasojević Brkić -- The quality loss function-based approach for discrete multiresponse process parameters optimization / Tatjana V. Sibalija.
Abstract "The quality loss function, introduced by Japanese engineer, statistician and scientist Dr. Genichi Taguchi in the 1980s, is still one of the most interesting topics in applied industrial statistics and quality engineering and management, which presented a paradigm shift in quality loss and product, process and/or system quality conception. Taguchi emphasized a proactive approach toward quality in terms of embedding quality requirements into the design of product, process and/or system, which highly influenced today's quality approaches such as the 'quality-by-design' concept strongly demanded in the era of the fourth industrial revolution that we are currently facing. This book contributes to a further development, extension and application of the Taguchi's quality loss concept, aiming to overcome limitations of the traditional quadratic quality loss function and to address complex demands and circumstances in a dynamic and globalized contemporary industrial sector. It presents essential issues and heterogeneous complementary aspects of the quality loss function, including the theoretical background and advances as well as different application studies"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher; resource not viewed.
Issued in other formPrint version: A closer look at loss function New York : Nova Science Publishers, Inc., [2019] 9781536165401
Genre/formElectronic books.
LCCN 2019045964
ISBN9781536165524 (adobe pdf)
ISBN(hardcover)

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