What happens when the sport of Juggling meets a Statistical Process Control class? This book shows a creative approach to teaching data analysis for continuous improvement. Using step by step instructions, including over 65 photos and 40 graphs, traditional continuous improvement topics (design of experiments, reliability functions, and probability) are demonstrated using card illusions and hands-on activities. This book is for anyone that teaches these topics and wants to make them more understandable and sometimes even fun. Every operator, technician, student, manager, and leader can learn data analysis and be inspired to join the next generation of continuous improvement professionals.

People with minimal math skills, and even those with advanced math skills, have difficulty grasping the intuitive concepts behind Statistical Process Control (SPC). Many practitioners do not understand the concepts behind Control Charts, the differences of out of control and out of specification, and the process variation on Control Charts. This book will explain these concepts by using a simple methodology that will bring a much greater level of understanding to those that use it by providing a detailed description of the method, using common language, real-world examples to illustrate the concept, and instructions on easy implementation.

A selection of studies by professionals in the semiconductor industry illustrating the use of statistical methods to improve manufacturing processes.

This hands-on book presents a complete understanding of Six Sigma and Lean Six Sigma through data analysis and statistical concepts In today's business world, Six Sigma, or Lean Six Sigma, is a crucial tool utilized by companies to improve customer satisfaction, increase profitability, and enhance productivity. Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements provides a balanced approach to quantitative and qualitative statistics using Six Sigma and Lean Six Sigma methodologies. Emphasizing applications and the implementation of data analyses as they relate to this strategy for business management, this book introduces readers to the concepts and techniques for solving problems and improving managerial processes using Six Sigma and Lean Six Sigma. Written by knowledgeable professionals working in the field today, the book offers thorough coverage of the statistical topics related to effective Six Sigma and Lean Six Sigma practices, including: Discrete random variables and continuous random variables Sampling distributions Estimation and hypothesis tests Chi-square tests Analysis of variance Linear and multiple regression Measurement analysis Survey methods and sampling techniques The authors provide numerous opportunities for readers to test their understanding of the presented material, as the real data sets, which are incorporated into the treatment of each topic, can be easily worked with using Microsoft Office Excel, Minitab, MindPro, or Oracle's Crystal Ball software packages. Examples of successful, complete Six Sigma and Lean Six Sigma projects are supplied in many chapters along with extensive exercises that range in level of complexity. The book is accompanied by an extensive FTP site that features manuals for working with the discussed software packages along with additional exercises and data sets. In addition, numerous screenshots and figures guide readers through the functional and visual methods of learning Six Sigma and Lean Six Sigma. Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements is an excellent book for courses on Six Sigma and statistical quality control at the upper-undergraduate and graduate levels. It is also a valuable reference for professionals in the fields of engineering, business, physics, management, and finance.

Success is driven through collaboration. The field of Industrial and Systems Engineering has evolved as a major engineering field with interdisciplinary strength drawn from effective utilization, process improvement, optimization, design, and management of complex systems. It is a broad discipline that is important to nearly every attempt to solve problems facing the needs of society and the welfare of humanity. In order to carry this forward, successful collaborations are needed between industry, government, and academia. This book brings together an international group of distinguished practitioners and academics in manufacturing, healthcare, logistics, and energy sectors to examine what enables successful collaborations. The book is divided into two key parts: 1) partnerships, frameworks, and leadership; and 2) engineering applications and case studies. Part I highlights some of the ways partnerships emerge between those seeking to innovate and educate in industrial and systems engineering, some useful frameworks and methodologies, as well as some of the ideas and practices that undergird leadership in the profession. Part II provides case studies and applications to illustrate the power of the partnerships between academia and practice in industrial and systems engineering. Features Examines the success from multiple industries Provides frameworks for building teams and avoiding pitfalls Contains international perspectives of success Uses collaborative approaches from industry, government, and academia Includes real world case studies illustrating the enabling factors Offers engineering education and student-centric takeaways

Additive Manufacturing (AM) has altered manufacturing as we know it, with shortened development time, increased performance, and reduced product costs. Executive management in industry are bombarded by marketing from their competitors showcasing design solutions leveraged through AM. Therefore, executive management ask their project management teams to figure out how to utilize AM within their own company. Clueless on how to approach the problem, managers start learning about AM from experts and become overwhelmed at the highly technical information. Unlike other AM books that focus on the technical output of AM technology, this new book focuses solely on the managerial implementation. Features Presents the impacts of AM technology Provides engaging, practical, and entertaining "war stories" from the front line of AM industrialization Describes in detail, the significant hurdles in AM certification and implementation Offers templates of proven change management best practices, as practical solutions Omits the technical verbiage that gets in the way of management understanding how the process is implemented

While Lean principles have been around for decades, the practices have yet to keep current with the growing area of Sustainability. This book provides an implementation approach to integrating Lean and Sustainability principles toward a circular economy. Lean Sustainability: A Pathway to a Circular Economy illustrates an integrated Lean and Sustainability approach that is applicable to manufacturing, healthcare, service, and other industries. This comprehensive approach will guide organizations toward a circular economy to drive competitive business practices further while being environmentally, socially, and economically responsible. The eBook version includes full color images. This book will help any industry practitioner interested in helping their business improve flow, reduce waste, and become more environmentally conscious.

This book is an implementation guide for creating a Lean Culture from the ground up while gaining buy-in from key stakeholders and being able to sustain the results. Everyone talks about implementing a Lean Culture, but only provides Lean Tools for the implementation. This book discusses implementing the entire system from three main aspects. It will cover the people (structural and cultural), the operation system, and the tools. Also included is a full set of case studies to show real-life implementations as well. This text- Discusses Leader Standard work for all employees Covers the escalation process for tiers and daily accountability Shows how to deal with a change of SOP's and standardization within an organization Presents exercises for Lean Tools Implementation Offers real-life case studies of implementing a lean culture while sustaining it Building a Sustainable Lean Culture: An Implementation Guide discusses Lean Leadership from a managerial standpoint and ensures the lean journey does not fail through accountability, standardized work, and technological advances utilizing Lean Systems. Useful in manufacturing, services, IT, and healthcare, this book includes the implementation of empowering employees to want to build a Lean Culture.

Historically, the term quality was used to measure performance in the context of products, processes and systems. With rapid growth in data and its usage, data quality is becoming quite important. It is important to connect these two aspects of quality to ensure better performance. This book provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better quality levels and takes you through a systematic approach to measure holistic quality with several case studies. Features: Integrates data science, analytics and process engineering concepts Discusses how to create value by considering data, analytics and processes Examines metrics management technique that will help evaluate performance levels of processes, systems and models, including AI and machine learning approaches Reviews a structured approach for analytics execution