Statistical Process Control And Data Analytics
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Statistical Process Control And Data Analytics
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Author : John Oakland
language : en
Publisher: Taylor & Francis
Release Date : 2024-09-02
Statistical Process Control And Data Analytics written by John Oakland and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-02 with Business & Economics categories.
The business, commercial and public-sector world has changed dramatically since John Oakland wrote the first edition of Statistical Process Control in the mid-1980s. Then, people were rediscovering statistical methods of ‘quality control,’ and the book responded to an often desperate need to find out about the techniques and use them on data. Pressure over time from organizations supplying directly to the consumer, typically in the automotive and high technology sectors, forced those in charge of the supplying, production and service operations to think more about preventing problems than how to find and fix them. Subsequent editions retained the ‘tool kit’ approach of the first but included some of the ‘philosophy’ behind the techniques and their use. Now entitled Statistical Process Control and Data Analytics, this revised and updated eighth edition retains its focus on processes that require understanding, have variation, must be properly controlled, have a capability and need improvement – as reflected in the five sections of the book. In this book the authors provide not only an instructional guide for the tools but communicate the management practices which have become so vital to success in organizations throughout the world. The book is supported by the authors' extensive consulting work with thousands of organizations worldwide. A new chapter on data governance and data analytics reflects the increasing importance of big data in today’s business environment. Fully updated to include real-life case studies, new research based on client work from an array of industries and integration with the latest computer methods and software, the book also retains its valued textbook quality through clear learning objectives and online end-of-chapter discussion questions. It can still serve as a textbook for both student and practicing engineers, scientists, technologists, managers and anyone wishing to understand or implement modern statistical process control techniques and data analytics.
Statistical Process Control
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Author : John Oakland
language : en
Publisher: Routledge
Release Date : 2018-10-08
Statistical Process Control written by John Oakland and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-08 with Business & Economics categories.
The business, commercial and public-sector world has changed dramatically since John Oakland wrote the first edition of Statistical Process Control – a practical guide in the mid-eighties. Then people were rediscovering statistical methods of ‘quality control’ and the book responded to an often desperate need to find out about the techniques and use them on data. Pressure over time from organizations supplying directly to the consumer, typically in the automotive and high technology sectors, forced those in charge of the supplying production and service operations to think more about preventing problems than how to find and fix them. Subsequent editions retained the ‘took kit’ approach of the first but included some of the ‘philosophy’ behind the techniques and their use. The theme which runs throughout the 7th edition is still processes - that require understanding, have variation, must be properly controlled, have a capability, and need improvement - the five sections of this new edition. SPC never has been and never will be simply a ‘took kit’ and in this book the authors provide, not only the instructional guide for the tools, but communicate the management practices which have become so vital to success in organizations throughout the world. The book is supported by the authors' extensive and latest consulting work within thousands of organisations worldwide. Fully updated to include real-life case studies, new research based on client work from an array of industries, and integration with the latest computer methods and Minitab software, the book also retains its valued textbook quality through clear learning objectives and end of chapter discussion questions. It can still serve as a textbook for both student and practicing engineers, scientists, technologists, managers and for anyone wishing to understand or implement modern statistical process control techniques.
Introduction To Statistical Process Control
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Author : Peihua Qiu
language : en
Publisher: CRC Press
Release Date : 2013-10-14
Introduction To Statistical Process Control written by Peihua Qiu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-14 with Business & Economics categories.
A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, Introduction to Statistical Process Control describes many recent SPC methods that improve upon
Multivariate Statistical Quality Control Using R
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Author : Edgar Santos-Fernández
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-09-22
Multivariate Statistical Quality Control Using R written by Edgar Santos-Fernández and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-22 with Computers categories.
The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis. These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices.
Developing Structured Procedural And Methodological Engineering Designs
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Author : Yohannes Yebabe Tesfay
language : en
Publisher: Springer Nature
Release Date : 2021-04-15
Developing Structured Procedural And Methodological Engineering Designs written by Yohannes Yebabe Tesfay and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-15 with Technology & Engineering categories.
This book is designed to assist industrial engineers and production managers in developing procedural and methodological engineering tools to meet industrial standards and mitigate engineering and production challenges. It offers practitioners expert guidance on how to implement adequate statistical process control (SPC), which takes account of the capability to ensure a stable process and then regulate if variations take place due to variables other than a random variation. Powerful engineering models of new product introduction (NPI), continuous improvement (CI), and the eight disciplines (8D) model of problem solving techniques are explained. The final three chapters introduce new methodological models in operations research (OR) and their applications in engineering, including the hyper-hybrid coordination for process effectiveness and production efficiency, and the Kraljic-Tesfay portfolio matrix of industrial buying.
Beyond Statistical Process Control Revolutionizing Quality Management
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-04-06
Beyond Statistical Process Control Revolutionizing Quality Management written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-06 with Business & Economics categories.
In today's competitive business landscape, organizations are constantly striving to improve the quality of their products and services to stay ahead. Statistical Process Control (SPC) has emerged as a powerful tool that empowers organizations to achieve operational excellence by identifying and eliminating sources of variation in their processes. "Beyond Statistical Process Control: Revolutionizing Quality Management" is a comprehensive guide that provides a thorough understanding of SPC and its application across various industries. Written for quality professionals, engineers, and business leaders, this book offers a practical roadmap for implementing SPC to enhance product quality, reduce costs, and increase customer satisfaction. Delving into the fundamental concepts of SPC, the book explores the statistical techniques used to monitor and control processes, identify and eliminate variation, and continuously improve performance. It covers a wide range of SPC tools and techniques, including control charts, capability studies, and design of experiments, and explains how to interpret and utilize the data effectively for decision-making. With a focus on practical implementation, the book provides step-by-step instructions for integrating SPC into existing quality management systems. It emphasizes the importance of creating a culture of continuous improvement and provides strategies for engaging employees at all levels in the SPC journey. Case studies and real-world examples from various industries illustrate the successful application of SPC and its transformative impact on organizational performance. Moving beyond traditional SPC methods, the book explores the integration of SPC with advanced technologies such as big data analytics, machine learning, and artificial intelligence. It discusses the role of SPC in Industry 4.0 and the digital transformation of quality management. By leveraging these technologies, organizations can gain deeper insights into their processes, predict and prevent defects, and achieve unprecedented levels of quality and productivity. "Beyond Statistical Process Control: Revolutionizing Quality Management" serves as an indispensable resource for professionals seeking to master SPC and harness its power to transform their organizations. It is a comprehensive guide that equips readers with the knowledge, skills, and strategies to revolutionize quality management and achieve operational excellence. If you like this book, write a review!
Combining Dataops Mlops And Devops
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Author : Dr. Kalpesh Parikh
language : en
Publisher: BPB Publications
Release Date : 2022-05-16
Combining Dataops Mlops And Devops written by Dr. Kalpesh Parikh and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-16 with Computers categories.
Accelerate the delivery of software, data, and machine learning KEY FEATURES ● Each chapter harmonizes the DevOps, Data Engineering, and Optimized Machine Learning cultures. ● Equips readers with AGILE skills to continuously re-prioritize production backlogs. ● Containerization, Docker, Kubernetes, DataOps, and MLOps are all rolled together. DESCRIPTION This book instructs readers on how to operationalize the creation of systems, software applications, and business information using the best practices of DevOps, DataOps, and MLOps, among other things. From software unit packaging code and its dependencies to automating the software development lifecycle and deployment, the book provides a learning roadmap that begins with the basics and progresses to advanced topics. This book teaches you how to create a culture of cooperation, affinity, and tooling at scale using DevOps, Docker, Kubernetes, Data Engineering, and Machine Learning. Microservices design, setting up clusters and maintaining them, processing data pipelines, and automating operations with machine learning are all topics that will aid you in your career. When you use each of the xOps methods described in the book, you will notice a clear shift in your understanding of system development. Throughout the book, you will see how every stage of software development is modernized with the most up-to-date technologies and the most effective project management approaches. WHAT YOU WILL LEARN ● Learn about the Packaging code and all its dependencies in a container. ● Utilize DevOps to automate every stage of software development. ● Learn how to create Microservices that are focused on a specific issue. ● Utilize Kubernetes to containerize applications in a variety of settings. ● Using DataOps, you can align people, processes, and technology. WHO THIS BOOK IS FOR This book is meant for the Software Engineering team, Data Professionals, IT Operations and Application Development Team with prior knowledge in software development. TABLE OF CONTENTS 1. Container – Containerization is the New Virtualization 2. Docker with Containers for Developing and Deploying Software 3. DevOps to Build at Scale a Culture of Collaboration, Affinity, and Tooling 4. Docker Containers for Microservices Architecture Design 5. Kubernetes – The Cluster Manager for Container 6. Data Engineering with DataOps 7. MLOps: Engineering Machine Learning Operations 8. xOps Best Practices
Development Research In Practice
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Author : Kristoffer Bjärkefur
language : en
Publisher: World Bank Publications
Release Date : 2021-07-16
Development Research In Practice written by Kristoffer Bjärkefur and has been published by World Bank Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-16 with Business & Economics categories.
Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well asillustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically.“In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.”—Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University“Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.”—Ruth E. Levine, PhD, CEO, IDinsight“Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.”—Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley“The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.”—Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University
Emerging Disruptive Technologies For Society 5 0 In Developing Countries
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Author : Sara Arezki
language : en
Publisher: Springer Nature
Release Date : 2025-03-24
Emerging Disruptive Technologies For Society 5 0 In Developing Countries written by Sara Arezki and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-24 with Social Science categories.
This book offers an overview of the recent disruptives technologies and their application in the new Society 5.0 for better human life. The content provides researchers by new trends in blockchain, IA, and big data applied to several fields related to smart cities and Society 5.0 such as health care, education, finance, mobility, logistics, and quality of life. It is an opportunity for researchers and practitioners to present and discuss their most recent research results, innovations, experiences, concerns, challenges, and trends about the application of disruptive technologies applied to Society 5.0. The aim of the book is to focus on how disruptive technologies can change the way we perform and how it creates more opportunities with a special focus on AI, blockchain, big data, etc. The idea behind this book is to focus on solutions based on disruptive technologies that can face the challenges of the developing countries. We will shed the light on different sectorssuch as education, agriculture, industry, transportation, environment, energy, health care, etc. We will discuss the challenges that the emerging countries face in these sectors and provide disruptive technologies based solutions to them. This book also introduces success stories of disruptive technologies-based solutions and their impact on the lives of people in developing countries.
Practical Data Analytics For Innovation In Medicine
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Author : Gary D. Miner
language : en
Publisher: Academic Press
Release Date : 2023-02-08
Practical Data Analytics For Innovation In Medicine written by Gary D. Miner and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-08 with Science categories.
Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition discusses the needs of healthcare and medicine in the 21st century, explaining how data analytics play an important and revolutionary role. With healthcare effectiveness and economics facing growing challenges, there is a rapidly emerging movement to fortify medical treatment and administration by tapping the predictive power of big data, such as predictive analytics, which can bolster patient care, reduce costs, and deliver greater efficiencies across a wide range of operational functions. Sections bring a historical perspective, highlight the importance of using predictive analytics to help solve health crisis such as the COVID-19 pandemic, provide access to practical step-by-step tutorials and case studies online, and use exercises based on real-world examples of successful predictive and prescriptive tools and systems. The final part of the book focuses on specific technical operations related to quality, cost-effective medical and nursing care delivery and administration brought by practical predictive analytics. - Brings a historical perspective in medical care to discuss both the current status of health care delivery worldwide and the importance of using modern predictive analytics to help solve the health care crisis - Provides online tutorials on several predictive analytics systems to help readers apply their knowledge on today's medical issues and basic research - Teaches how to develop effective predictive analytic research and to create decisioning/prescriptive analytic systems to make medical decisions quicker and more accurate