Here's the book that clearly and logically answers the complex question quality managers and product developers face almost every day: WHICH PRODUCT DEVELOPMENT TOOLS SHOULD I USE AND WHEN? 
 This much-needed, well-written roadmap for robust, efficient product development features: * All the coverage needed to implement six sigma in any manufacturing concern * A complete review of both traditional and contemporary design methods * Systems discussed include: DOE (Design Of Experiment), Taguchi Method, QFD (Quality Function Deployment), Axiomatic Design, and TRIZ (Theory for Inventive Problem-Solving) * Practical examples to highlight important elements of each system * A unique multi-systems approach to designing products, incorporating the traditional and contemporary methods discussed, detailing how and when to use them * Valuable assistance when preparing for certification exams

Design for Six Sigma : A Roadmap for Product Development

Business & Money

Yang, Kai

EI-Haik, Basem S.

Management & Leadership

McGraw-Hill Professional

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. UPGRADE MANUFACTURING AND SERVICE PERFORMANCE WITH POWERFUL STATISTICAL TOOLSThere's no better way to master the most rigorous statistical methods available for analyzing the performance of complex systems -- Multivariate Statistical Methods in Quality Management teaches powerful analytic tools for troubleshooting, root cause analysis, process control, quality improvement, and many other applications. Written by statistics experts who specialize in reliability and quality engineering, this unique resource introduces the fundamentals and then demonstrates how to: *Choose the best method for each data set * Make complex data intelligible with graphical tools * Coax important hidden information from data with graphical 3-D software and numerical multivariate data stratification * Perform data reduction with principal component analysis, factor analysis, and discriminant analysis * Apply multivariate methods in Six Sigma enterprises * Get clarification from case studies, models, and 50 illustrations * Uncover the source of problems and pinpoint solutions in arenas from manufacturing processes to sales performance and beyond

Multivariate Statistical Methods in Quality Management

Trewn, Jayant

McGraw=Hill

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
 Service companies are discovering the power of Design for Six Sigma in streamlining operations and driving profitability 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.

Design for Six Sigma for Service

Industries

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
The Latest Tools and Guidance Needed to Implement Design for Six Sigma in New Product and Service Development! Hailed as a classic in its first edition, Design for Six Sigma has been fully revised and updated to equip you with everything you need to implement Design for Six Sigma (DFSS) in new product and service development. 
The Second Edition of this indispensable design tool retains the core of the previous edition, while adding new information on innovation, lean product development, incomplete DOE, mixture experiments, and alternative DFSS roadmaps―plus new thread-through case studies. 
 From quality concepts and DFSS fundamentals…to DFSS deployment and project algorithm…to design validation, the updated edition of Design for Six Sigma gives you a solid understanding of the entire process for applying DFSS in the creation of successful new products and services. 
 Packed with detailed illustrations, careful directions and comparisons, and worked-out calculations, the Second Edition of Design for Six Sigma features:
<ul>
<li>A one-stop resource for developing a sure-fire DFSS program</li>
<li>Expert walkthroughs that help readers choose the right design tools at every stage of the DFSS process</li>
<li>New to this edition: new chapters on innovation, lean product development, and computer simulation; new material on critical parameter management; new thread-through case studies</li>
</ul>
Providing real-world product development experience and insight throughout, the Second Edition of Design for Six Sigma now offers professionals in a wide range of industries the information required to maximize DFSS potential in creating winning products and services for today's marketplace.
Filled with over 200 detailed illustrations, the Second Edition of Design for Six Sigma first gives you a solid foundation in quality concepts, Six Sigma fundamentals, and the nature of Design for Six Sigma, and then presents clear, step-by-step coverage of:
<ul>
<li>Design for Six Sigma Deployment</li>
<li>Design for Six Sigma Project Algorithm</li>
<li>DFSS Transfer Function and Scorecards</li>
<li>Quality Function Deployment (QFD)</li>
<li>Axiomatic Design</li>
<li>Innovation in Product Design</li>
<li>Lean Product Development</li>
<li>TRIZ</li>
<li>Design for X</li>
<li>Failure Mode-Effect Analysis</li>
<li>Fundamentals of Experimental Design</li>
<li>Incomplete DOE</li>
<li>Taguchi's Orthogonal Array Experiment</li>
<li>Taguchi's Robust Parameter Design </li>
<li>Tolerance Design</li>
<li>Response Surface Methodology</li>
<li>Mixture Experiments</li>
<li>Design Validation </li>
</ul>

Design for Six Sigma: A Roadmap for Product Development

Mobile Edge Artificial Intelligence: Opportunities and Challenges presents recent advances in wireless technologies and nonconvex optimization techniques for designing efficient edge AI systems. The book includes comprehensive coverage on modeling, algorithm design and theoretical analysis. Through typical examples, the powerfulness of this set of systems and algorithms is demonstrated, along with their abilities to make low-latency, reliable and private intelligent decisions at network edge. With the availability of massive datasets, high performance computing platforms, sophisticated algorithms and software toolkits, AI has achieved remarkable success in many application domains. 
As such, intelligent wireless networks will be designed to leverage advanced wireless communications and mobile computing technologies to support AI-enabled applications at various edge mobile devices with limited communication, computation, hardware and energy resources.

Mobile Edge Artificial Intelligence: Opportunities and Challenges

Computers & Technology

ZHOU, YONG

Shi, Yuanming

Yang, Zhanpeng

Computer Science

Academic Press

<table style="border-color: #ffffff; color: #000000; font-family: Arial; font-size: 13.3333px; width: 100%;" border="0" cellspacing="0" cellpadding="0"> <tr> <td style="font-family: Arial; font-size: 10pt; vertical-align: top;"> <table style="border-color: #ffffff; width: 100%;"> <tr> <td style="font-family: Arial; font-size: 10pt; vertical-align: top;"> The Industry 4.0 revolution is shifting the way that quality engineers, managers, and product developers must think about quality control. Super connectivity, IoT, and big data have enabled a transition from traditional "voice of the customer" surveys to the "voice of Big Data," which communicates descriptive information from real customers about how they use products.&nbsp;Quality in the Era of Industry 4.0:&nbsp;Harnessing Data Analytics for Quality Engineering Applications&nbsp;guides readers on how that data can be leveraged to optimize products during use, to anticipate and mitigate the consequences of likely failures, and to build better and less expensive products in the future. In a concise, straightforward style, this book offers readers a comprehensive framework for new quality management methods under Industry 4.0. This includes new techniques like using real-world data to improve product fit and performance, leveraging connectivity to make products responsive to changing needs and use cases, and drawing upon modern manufacturing to make cost-effective, bespoke solutions that can be produced more efficiently. Case examples featuring applications from the automotive, mobile device, home appliance, and healthcare industries are used to illustrate how IoT-enabled product usage data can be used to bench mark the product performances, durability, and detect design vulnerabilities. Automated Product Lifecycle Management, Predictive Quality Control, and defect prevention using technologies like smart factories, IoT, digital twins, machine learning, and sensors are also covered. </td> </tr> </table> </td> </tr> </table>

Quality in the Era of Industry 4.0: Integrating Tradition and Innovation in the Age of Data and AI

wiley

Second-level registered structural engineer professional examination past examination questions and examination points analysis (11th edition)(Chinese Edition)

China Architecture Building Press

This Minibook is a brief guide for Green Belt during a Lean Six Sigma project management or for Kaizen Leader during a process improvement activity. Through both its theoretical concepts and practical examples it is a pocket book for a quick consultancy. Authors idea comes from companies needs in order to analyze information useful to know in depth different kind of processes. The set of Six Sigma tools are explained through Minitab 16, the last release of the most widely used statistical software.

Leading processes to lead companies: Lean Six Sigma: Kaizen Leader & Green Belt Handbook

Arcidiacono, Gabriele

Calabrese, Claudio

Economics

Springer

The Art of Trial Process: An Outline of Judicial Philosophy in China

This book focuses on the reality of China's modern judiciary, systematically demonstrating and discussing the judicial philosophy and judicial ethics as applied by Chinese courts and judges. In order to illustrate the methods of jurisprudence and sociology of law in the context of China's judicial practice and practicability of applicable laws, it also addresses judicial methodology and Chinese judges' trial methods. Based on comparative study and aiming at global judicial reform, the book provides valuable guidance and insights for readers pursuing a detailed understanding of modern Chinese judiciary, Chinese judges and Chinese rule of law. The book is intended to primarily serve the need of legal professionals around the world, in particular those who are interested in China's judicial system.

Foreign & International Law

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