04388nam a22005295i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001200172072001600184072001600200072002300216072001500239072001500254100008500269245013600354250001800490264008200508300006600590336002600656337002600682338003600708347002400744505018800768520223300956650003403189650002803223650002803251650003603279650003403315650004303349650003603392700008503428700008603513710003403599773002603633776003603659776003603695776003603731856004603767912001403813912001403827999001703841978-3-662-68744-4DE-He21320251030111734.0cr nn 008mamaa240320s2024 gw | s |||| 0|eng d a97836626874449978-3-662-68744-47 a10.1007/978-3-662-68744-42doi 4aHD28-70 7aTBC2bicssc 7aKJM2bicssc 7aBUS0820002bisacsh 7aTBC2thema 7aKJM2thema1 aNiemann, Jörg.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut97352810aLean Six Sigmah[electronic resource] :bMethods for Production Optimization /cby Jörg Niemann, Benedikt Reich, Carsten Stöhr. a1st ed. 2024. 1aBerlin, Heidelberg :bSpringer Berlin Heidelberg :bImprint: Springer,c2024. aXIV, 147 p. 134 illus., 88 illus. in color.bonline resource. atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier atext filebPDF2rda0 aIntroduction -- 5S - Seiri, Seiton, Seiso, Seiketsu, Shitsuke -- Lean Six Sigma -- Poka Yoke -- SMED -- Line Balancing -- Spaghetti Diagram -- Value Stream Mapping -- Kanban -- Index. aThe Lean Six Sigma Workshop describes important and practically relevant methods and tools for optimizing industrial production structures. In addition to theoretical foundations, the book provides extensive hands-on exercise materials with solutions for each method, ensuring application-oriented knowledge transfer. The book particularly assists educators and learners in preparing and conducting entire teaching units, which can be deepened and practically applied through 13 workshops as group activities. The playful application of theory over multiple game rounds enables learners to use the methods in practice and apply gained insights in an industrial setting. Prof. Dr.-Ing. habil. Dipl.-Wirt.-Ing. Jörg Niemann has been a professor at Hochschule Düsseldorf since 2012, specializing in Industrial Engineering with a focus on Production in the Department of Mechanical and Process Engineering. He is the managing director of the interdisciplinary research institute FMDauto and the founder of the FLiX Research Center for Life Cycle Excellence. His expertise lies in Life Cycle Management and the assessment and optimization of production systems using Lean Six Sigma. Benedikt Reich, M.Sc. mult., studied Industrial Engineering and Business Analytics. He worked for many years at the FLiX Research Center for Life Cycle Excellence at Hochschule Düsseldorf and is currently Head of Digital Solutions Purchase to Pay at Henkel AG & Co. KGaA. His main areas of expertise include optimizing and digitizing purchasing processes. Carsten Stöhr, M.Sc. mult., studied industrial engineering and business analytics. He was a long-standing member of the FLiX Research Center for Life Cycle Excellence at Düsseldorf University of Applied Sciences. Carsten Stöhr works as a data analyst at L’Oréal Deutschland GmbH. He is responsible for consulting and developing reporting tools for the consumer goods division of the L’Oréal Group. Carsten Stöhr is also a lecturer at the Hochschule für Ökonomie und Management (FOM) in the fields of mathematics and computer science. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. 0aIndustrial Management.958197 0aIndustrial engineering. 0aProduction engineering. 0aIndustrial organization.95788514aIndustrial Management.95819724aIndustrial and Production Engineering.24aIndustrial Organization.9578851 aReich, Benedikt.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9735291 aStöhr, Carsten.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9735302 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978366268743708iPrinted edition:z978366268745108iPrinted edition:z978366268746840uhttps://doi.org/10.1007/978-3-662-68744-4 aZDB-2-ENG aZDB-2-SXE c58510d58510