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020 _a9783030962135
024 7 _a10.1007/978-3-030-96213-5
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTS156.17.S59
_b2022 EB
100 1 _aBlackburn, Timothy D.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9684600
245 1 0 _aSix Sigma :
_bA Case Study Approach Using Minitab®
_cby Timothy D. Blackburn
250 _aFirst edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XV, 258 páginas)
_b324 ilustraciones, 278 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
505 0 _aIntroduction -- The Case Study -- Introduction to Six Sigma and DMAIC -- Define Phase -- Measure Phase -- Analyze Phase -- Improve Phase -- Control Phase -- The Human Side of Six Sigma.
520 _aThis book introduces the reader to Six Sigma, a problem-solving technique for reducing defects and variation in processes. The author uses DMAIC phases (Define, Measure, Analyze, Improve and Control) and a data-centric approach, leveraging applied statistics with Minitab®. Readers are enabled to solve novel problems where there isn't an apparent root cause or solution identified. The author walks readers through an (imaginary) case study, explaining both the DMAIC approach and how to use Minitab in a practical way. The book includes data sets and instructions on how to analyze data in the context of Six Sigma using Minitab. Provides Lean Six Sigma instruction in the context of a case study, between the Green Belt and Black Belt levels; Demystifies the use of the DMAIC phases (Define, Measure, Analyze, Improve and Control); Guides readers clearly how to use Minitab and applied statistics to resolve novel problems; Demonstrates DMAIC and supporting tools in the context of an actual case study; Compatible with Minitab versions 18, 19, 20 and 21; This book is suitable for self-instruction, course textbook, or certification (or general) reference.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9161250
_aSeis Sigma (Norma de control de calidad)
650 7 _2embne-DP
_9199095
_aEstadística
_xProceso de datos
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030962128
776 0 8 _iPrinted edition:
_z9783030962142
776 0 8 _iPrinted edition:
_z9783030962159
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-96213-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b07/2022
_dz
_esc
_zSI