Introduction to Engineering Statistics and Lean Six SIGMA - 3rd Edition by Theodore T Allen (Hardcover)
Similar Products
Products of same category from the store
All
Product info
<p/><br></br><p><b> About the Book </b></p></br></br><p>As well as providing detailed definitions and case studies of all six sigma methods, Introduction to Engineering Statistics and Lean Sigma forms one of few sources on the relationship between operations research techniques and lean sigma.</p><p/><br></br><p><b> Book Synopsis </b></p></br></br><p>The Toyota Production System, or lean production, has long been regarded as critical to business success in many industries. Over the last ten years, instruction in six sigma has been increasingly linked with learning about the elements of lean production. <em>Introduction to Engineering Statistics and Lean Sigma</em> builds on the success of its first edition (<em>Introduction to Engineering Statistics and Six Sigma</em>) to reflect the growing importance of the "lean sigma" hybrid.</p> <p></p> <p>As well as providing detailed definitions and case studies of all six sigma methods, <em>Introduction to Engineering Statistics and Lean Sigma</em> forms one of few sources on the relationship between operations research techniques and lean sigma. Readers will be given the information necessary to determine which sigma methods to apply in which situation, and to predict why and when a particular method may not be effective. Methods covered include: </p> <p>- control charts and advanced control charts, </p> <p>- failure mode and effects analysis, </p> <p>- Taguchi methods, </p> <p>- gauge R&R, and</p> <p>- genetic algorithms.</p> <p>The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), which is critical for many organizations that seek to deliver desirable products which work first time. It incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on the design of experiments, and on two level and full factorial experiments, to help improve student intuition-building and retention.</p> <p></p> <p>The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes <em>Introduction to Engineering Statistics and Lean Sigma</em> a practical, up-to-date resource for advanced students, educators, and practitioners. </p><p/><br></br><p><b> From the Back Cover </b></p></br></br><p></p><p>This book provides an accessible one-volume introduction to Lean Six Sigma and statistics in engineering for students and industry practitioners. Lean production has long been regarded as critical to business success in many industries. Over the last ten years, instruction in Six Sigma has been linked more and more with learning about the elements of lean production. Building on the success of the first and second editions, this book expands substantially on major topics of increasing relevance to organizations interested in Lean Six Sigma. </p><p></p><p>Each chapter includes summaries and review examples plus problems with their solutions. As well as providing detailed definitions and case studies of all Six Sigma methods, the book uniquely describes the relationship between operations research techniques and Lean Six Sigma. Further, this new edition features more introductory material on probability and inference and information about Deming's philosophy, human factors engineering, and the motivating potential score - the material is tied more directly to the Certified Quality Engineer (CQE) exam. </p><p></p><p>New sections that explore motivation and change management, which are critical subjects for achieving valuable results have also been added. The book examines in detail Design For Six Sigma (DFSS), which is critical for many organizations seeking to deliver desirable products. It covers reliability, maintenance, and product safety, to fully span the CQE body of knowledge. It also incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on experiment design, and includes practical experiments that will help improve students' intuition and retention. </p><p></p><p> </p><p>The emphasis on lean production, combined with recent methods relating to DFSS, makes this book a practical, up-to-date resource for advanced students, educators and practitioners.</p><p></p><p/><br></br><p><b> About the Author </b></p></br></br><p></p><p>Dr Theodore Allen is an Associate Professor of Industrial and Systems Engineering at The Ohio State University where he directs the Security & Efficiency Analytics Laboratory (SEAL). He is the Founder and President of factSpread.org and President of the INFORMS Social Media Analytics Section. He is a Fellow of the American Society of Quality and an area editor of Computers & Industrial Engineering (IF:3.2). His work on reducing waiting lines in elections has received national attention, contributing to shorter election lines for millions across five states. Application highlights include better production decisions (Honda), improved text modeling (US Military), earlier hospital discharges with fewer chart errors (Alliance Community Hospital), and fewer maintenance return trips (GE Appliances).</p><p></p>
Price History
Price Archive shows prices from various stores, lets you see history and find the cheapest. There is no actual sale on the website. For all support, inquiry and suggestion messagescommunication@pricearchive.us