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Visual Six Sigma : making data analyisis lean (Second Edition)

Ian Cox - Nama Orang; Marie A. Gaudard - Nama Orang; Mia L. Stephens - Nama Orang;

Streamline data analysis with an intuitive, visual Six Sigma strategy
Visual Six Sigma provides the statistical techniques that help you get more information from your data. A unique emphasis on the visual allows you to take a more active role in data-driven decision making, so you can leverage your contextual knowledge to pose relevant questions and make more sound decisions. You'll learn dynamic visualization and exploratory data analysis techniques that help you identify occurrences and sources of variation, and the strategies and processes that make Six Sigma work for your organization.

The Six Sigma strategy helps you identify and remove causes of defects and errors in manufacturing and business processes; the more pragmatic Visual approach opens the strategy beyond the realms of statisticians to provide value to all business leaders amid the growing need for more accessible quality management tools.

See where, why, and how your data varies
Find clues to underlying behavior in your data
Identify key models and drivers
Build your own Six-Sigma experience
Whether your work involves a Six Sigma improvement project, a design project, a data-mining inquiry, or a scientific study, this practical breakthrough guide equips you with the skills and understanding to get more from your data. With intuitive, easy-to-use tools and clear explanations, Visual Six Sigma is a roadmap to putting this strategy to work for your company.


Ketersediaan
#
Perpustakaan Pusat UBL (Di Rak The Asia Foundation) TAF 658.4 IAN v c.1
0018143
Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
SR 658.4 IAN v
Penerbit
New Jersey : John Wiley & Sons, Inc.., 2016
Deskripsi Fisik
xvii, 539 hlm ; 25 cm.
Bahasa
English
ISBN/ISSN
978-1-118-90568-5
Klasifikasi
658
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
2nd Ed.
Subjek
Statistical methods
quality control standard
decision support
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Ian Cox ; Marie A. Gaudard ; Mia L. Stephens
Versi lain/terkait

Tidak tersedia versi lain

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