The following is a chapter from Kai Yang's Design for Six Sigma for Service. This comprehensive handbook aggressively tackles the difficulties involved in applying rigorous Six Sigma statistical methods to service environments. It delivers solid, effective solutions that can help your organization achieve measurable gains in customer satisfaction, cost reduction, value improvement, change management, and process performance. Featuring detailed design guidance and valuable tips, this book provides the specifics you need to create product value through improved service practices.

A roadmap to consistent, high-quality service for anyorganization A service is typically something created to serve a payingcustomer, whether internal or external. Some services consist ofseveral processes linked together while others consist of a singleprocess. This book introduces Design for Six Sigma (DFSS), aneasy-to-master, yet highly effective data-driven method thatprevents defects in any type of service process. The particularfocus of this publication is service DFSS, which leads to what theauthors term "a whole quality business," one that takes a proactivestance and gets things right the first time. Not only does thewhole quality business produce a high-quality product and offerhigh-quality services, but it also operates at lower cost andhigher efficiency, throughout the entire life cycle, than itscompetitors because all the links in the supply chain areoptimized. Following a detailed overview that sets forth the basic premise andkey concepts of service DFSS, the authors offer all the informationand tools needed to take advantage of service DFSS within their ownorganizations, including: * Clear and in-depth coverage of the philosophical, organizational,and technical aspects of service DFSS * Step-by-step roadmap of the entire service DFSS deployment andexecution process * Full discussions of all the key methods involved in service DFSS,including axiomatic design, design for X, the theory of inventiveproblem solving (TRIZ), transfer function, design scorecards, andTaguchi's method * Practical, illustrative examples that demonstrate how the theoryis put into practice * Assistance in developing the necessary skills in applying DFSS inorganizational settings Problems and their solutions are provided at the end of eachchapter to help readers grasp the key concepts they need to moveforward in the text. Acclaro DFSS Light(r), a Java-based softwarepackage that implements axiomatic design processes discussed inChapter Eight, is available for download from an accompanying Wileyftp site. Acclaro DFSS Light(r) is a software product of AxiomaticDesign Solutions, Inc. This book is ideal as a reference to service DFSS for corporateexecutives, quality control managers, and process engineers, or asa complete training manual for DFSS teams. It is also a superiortextbook for graduate students in management, operations, andquality assurance.

The primary objective of this new book is to provide a comprehensive reference for those who work in a service industry setting. Unlike Design for Six Sigma a Roadmap for Product Development, this new book will address the 5 leading issues in the service industry, which are customer satisfaction, cost reduction, value improvement, change management and process performance measurements.

This is the first book to completely cover the whole body of knowledge of Six Sigma and Design for Six Sigma with Simulation Methods as outlined by the American Society for Quality. Both simulation and contemporary Six Sigma methods are explained in detail with practical examples that help understanding of the key features of the design methods. The systems approach to designing products and services as well as problem solving is integrated into the methods discussed.

The first comprehensive guide to the integration of Design for Six Sigma principles in the medical devices development cycle Medical Device Design for Six Sigma: A Road Map for Safety and Effectiveness presents the complete body of knowledge for Design for Six Sigma (DFSS), as outlined by American Society for Quality, and details how to integrate appropriate design methodologies up front in the design process. DFSS helps companies shorten lead times, cut development and manufacturing costs, lower total life-cycle cost, and improve the quality of the medical devices. Comprehensive and complete with real-world examples, this guide: Integrates concept and design methods such as Pugh Controlled Convergence approach, QFD methodology, parameter optimization techniques like Design of Experiment (DOE), Taguchi Robust Design method, Failure Mode and Effects Analysis (FMEA), Design for X, Multi-Level Hierarchical Design methodology, and Response Surface methodology Covers contemporary and emerging design methods, including Axiomatic Design Principles, Theory of Inventive Problem Solving (TRIZ), and Tolerance Design Provides a detailed, step-by-step implementation process for each DFSS tool included Covers the structural, organizational, and technical deployment of DFSS within the medical device industry Includes a DFSS case study describing the development of a new device Presents a global prospective of medical device regulations Providing both a road map and a toolbox, this is a hands-on reference for medical device product development practitioners, product/service development engineers and architects, DFSS and Six Sigma trainees and trainers, middle management, engineering team leaders, quality engineers and quality consultants, and graduate students in biomedical engineering.

This proposal constitutes an algorithm of design applying the design for six sigma thinking, tools, and philosophy to software design. The algorithm will also include conceptual design frameworks, mathematical derivation for Six Sigma capability upfront to enable design teams to disregard concepts that are not capable upfront, learning the software development cycle and saving development costs. The uniqueness of this book lies in bringing all those methodologies under the umbrella of design and provide detailed description about how these methods, QFD, DOE, the robust method, FMEA, Design for X, Axiomatic Design, TRIZ can be utilized to help quality improvement in software development, what kinds of different roles those methods play in various stages of design and how to combine those methods to form a comprehensive strategy, a design algorithm, to tackle any quality issues in the design stage.

In real life, data is messy and doesn't always fit into normal statistical distributions. This is especially true in service industries where the variables are, well, variable and directly related to and measured by the constantly changing needs of customers. As the breadth and depth of tools available has increased across the integrated Lean Six S