LEADER 04221nam a2200337Ii 4500 001 991003234869707536 008 070806s2006 ne a s 001 0 eng d 020 $a9780123705020 020 $a0123705029 035 $ab13652928-39ule_inst 040 $aBibl. Dip.le Aggr. Ingegneria Innovazione - Sez. Ingegneria Innovazione$beng 082 04$a658.4013$222 082 04$a658.562$bT128e$222 100 1 $aTaghizadegan, Salman,$d1957-$0627360 245 10$aEssentials of lean six sigma$h[e-book] /$cSalman Taghizadegan 260 $aAmsterdam ;$aBoston, Mass. :$bElsevier,$cc2006 300 $axvii, 275 p. :$bill. ;$c24 cm 500 $aIncludes index 505 0 $aPART I: Statistical Theory and Concepts -- Chapter 1. Introduction to Essentials of Lean Six Sigma (6 )Strategies -- Chapter 2. Statistical Theory of Lean Six Sigma (6 ) Strategies -- Chapter 3. Mathematical Concepts of Lean Six Sigma Engineering Strategies -- PART II: Six Sigma Engineering and Implementation -- Chapter 4. Six Sigma Continuous Improvement -- Chapter 5. Design for Six Sigma -- Chapter 6. Design for Lean/Kaizen Six Sigma -- Chapter 7. The Roles and Responsibilities to Six Sigma Philosophy and Strategy -- Chapter 8. The Road Map to Lean Six Sigma Continuous Improvement Engineering Strategies -- PART III: Case Studies -- Chapter 9. Case Study -- 9.1: Methodology for Machine Downtime -- Reduction. A Green Belt methodology -- Case Study 9.2: Methodology for Defect Reduction in Injection Molding Tools Life time. A Black Belt methodology. -- Chapter 10. Case Study: Methodology for Defect Reduction in Injection Molding a Multi-Factor Central Composite Design Approach. A Master Black Belt methodology 520 $aSix Sigma is a management program that provides tools that help manufacturers obtain efficient, stream-lined production to coincide with ultimate high quality products. Lean Six Sigma will show how the well-regarded analytical tools of Six Sigma quality control can be successfully brought into the well-established models of lean manufacturing, bringing efficient, stream-lined production and high quality product readily together. This book offers a thorough, yet concise introduction to the essential mathematics of Six Sigma, with solid case examples from a variety of industrial settings, culminating in an extended case study. Various professionals will find this book immensely useful, whether it be the industrial engineer, the industrial manager, or anyone associated with engineering in a technical or managing role. It will bring about a clear understanding of not only how to implement Six Sigma statistical tools, but also how to do so within the bounds of Lean manufacturing scheme. It will show how Lean Six Sigma can help reinforce the notion of less is more, while at the same time preserving minimal error rates in final manufactured products. *Reviews the essential statistical tools upon which Six Sigma rests, including normal distribution and mean deviation and the derivation of 1 sigma through six sigma *Explains essential lean tools like Value-Stream Mapping and quality improvement tools like Kaizen techniques within the context of Lean Six Sigma practice *Extended case study to clearly demonstrate how Six Sigma and Lean principles have been actually implemented, reducing production times and costs and creating improved product quality 533 $aElectronic reproduction.$bAmsterdam :$cElsevier Science & Technology,$d2007.$nMode of access: World Wide Web.$nSystem requirements: Web browser.$nTitle from title screen (viewed on Aug. 2, 2007).$nAccess may be restricted to users at subscribing institutions 650 0$aSix sigma (Quality control standard) 650 0$aQuality control$xStandards. 655 7$aElectronic books.$2local 776 1 $cOriginal$z0123705029$z9780123705020$w(OCoLC)70246145 856 40$3Referex$uhttp://www.sciencedirect.com/science/book/9780123705020$zAn electronic book accessible through the World Wide Web; click for information 907 $a.b13652928$b03-03-22$c24-01-08 912 $a991003234869707536 996 $aEssentials of lean six sigma$91212884 997 $aUNISALENTO 998 $ale026$b24-01-08$cm$d@ $e-$feng$gne $h0$i0