This textbook is the first of its kind, designed exclusively for the training and professional development of engineering technicians and technologists on the quality concepts, tools, and skills necessary for today's industrial environment. The book provides learners and working professionals with numerous examples, exercises, and case studies to prepare them to apply concepts including total quality management (TQM), six sigma, and lean methodology in analyzing and solving quality problems and implementing process improvements and corrective actions in the manufacturing process. Quality and Lean Six Sigma for Engineering Technicians gives readers a practical understanding of six sigma and manufacturing improvement concepts. It is also a go-to reference for practicing engineering technicians already working in the field.

This textbook is the first of its kind, designed exclusively for the training and professional development of engineering technicians and technologists on the quality concepts, tools, and skills necessary for today's industrial environment. The book provides learners and working professionals with numerous examples, exercises, and case studies to prepare them to apply concepts including total quality management (TQM), six sigma, and lean methodology in analyzing and solving quality problems and implementing process improvements and corrective actions in the manufacturing process. Quality and Lean Six Sigma for Engineering Technicians gives readers a practical understanding of six sigma and manufacturing improvement concepts. It is also a go-to reference for practicing engineering technicians already working in the field.

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. 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. 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. 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.

Six Sigma is a management program that provides tools that help manufacturers obtain efficient, stream-lined production to coincide with ultimate high quality products. Essentials of 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

Proven techniques for improving software and process quality with Six Sigma This practical, in-depth guide explains how to apply Six Sigma to solve common product and process improvement challenges in the software and IT industry. Six Sigma Software Quality Improvement covers Define, Measure, Analyze, Improve, and Control (DMAIC), Lean Six Sigma, Design for Six Sigma (DFSS), and Define, Measure, Analyze, Design, and Verify (DMADV). Featuring more than 20 success stories from Motorola, IBM, Cisco, Seagate, Xerox, Thomson Reuters, TCS, EMC, Infosys, and Convergys, the book offers first-hand accounts of corporate Six Sigma programs and explains how these companies are successfully leveraging Six Sigma for software process and quality improvement. The success stories reveal how: Motorola minimized business risk before changing business-critical applications TCS improved fraud detection for a global bank Infosys improved software development productivity for a large multinational bank IBM reduced help desk escalations and overhead activities EMC improved development productivity Motorola realized significant cost avoidance by streamlining processes and project documentation Xerox achieved high-speed product development Seagate reduced application downtime and improved availability to 99.99% Cisco successfully reinvented its Six Sigma program Convergys injected Six Sigma into the company's DNA Thomson Reuters' Six Sigma program gathered significant momentum in a short time Six Sigma was successfully applied in many other projects for defect reduction, cycle time reduction, productivity improvement, and more

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. Introduction to Engineering Statistics and Lean Sigma builds on the success of its first edition (Introduction to Engineering Statistics and Six Sigma) to reflect the growing importance of the "lean sigma" hybrid. 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. 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: • control charts and advanced control charts, • failure mode and effects analysis, • Taguchi methods, • gauge R&R, and • genetic algorithms. 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 that 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. The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes Introduction to Engineering Statistics and Lean Sigma a practical, up-to-date resource for advanced students, educators, and practitioners.