How can companies survive and prosper in the new economic age of the 4th Industrial Revolution? This book collects a variety of cases and quality management strategies for companies to put in place in the face of Industry 4.0. It argues that organizations that practice good quality management throughout the whole organization, and focus on satisfying their customers, employees and other stakeholders better than their competitors, are well equipped with the necessary capabilities to survive. It is a must read book for academicians, practitioners, managers and students interested in learning about the quality management philosophy, principles, tools and methods to be used in building a sustainable future where the challenges of the 4th Industrial Revolution — Industry 4.0 —are regarded and used as opportunities for survival and further growth.

This is an open access book.WELCOME THE 7TH GCBME. We would like to invite you to join our The 7th Global Conference on Business, Management and Entrepreneurship. The conference will be held online on digital platform live from Universitas Pendidikan Indonesia in Bandung, West Java, Indonesia, on August 8th, 2022 with topic The Utilization of Sustainable Digital Business, Entrepreneurship and management as A Strategic Approach in the New Normal Era.

This book constitutes the refereed proceedings of the 4th International Conference on Smart Applications and Data Analysis, SADASC 2022, held in Marrakesh, Morocco,during September 22–24, 2022. The 24 full papers and 11 short papers included in this book were carefully reviewed andselected from 64 submissions. They were organized in topical sections as follows: AI-Driven Methods 1; Networking technologies & IoT; AI-Driven Methods 2; Green Energy, Computing and Technologies 1; AI-Driven Methods 3; Green Energy, Computing and Technologies 2; Case studies and Cyber-Physical Systems 1; Case studies and Cyber-Physical Systems 2; and Case studies and Cyber-Physical Systems 3.

This book describes the development of quality over various stages, from product inspection, through quality control to the present ISO 9000 systems. It also highlights the advantages of the quality management system (QMS) standards and the need for certification by organizations and enterprises/firms interested in taking advantage of the various benefits of these standards to improve their systems and aid their survival in a globally competitive market. The author provides simplified information to enable even those hearing the word ''quality'' for the first time to be able to appreciate and understand the various quality management philosophies irrespective of their background and position.

Intelligent and sustainable manufacturing is a broad category of manufacturing that employs computer-integrated manufacturing, high levels of adaptability and rapid design changes, digital information technology, and more flexible technical workforce training. Other goals sometimes include fast changes in production levels based on demand, optimization of the production system, efficient production, and recyclability. This handbook provides compiled knowledge of intelligent and sustainable manufacturing within the context of Industry 4.0. along with tools, principles, and strategies. Handbook of Intelligent and Sustainable Manufacturing: Tools, Principles, and Strategies offers recent developments, future outlooks, and advanced and analytical modeling techniques of intelligent and sustainable manufacturing with examples backed up by experimental and numerical data. It bridges the gap between R&D in intelligent and sustainable manufacturing–related fields and presents case studies and solutions alongside social and green environmental impact. The handbook includes a wide range of advanced tools and applications with modeling results and explains how different internet technologies integrate the manufacturing approach with people, products, and complex systems. By encompassing advanced technologies such as digital twins, big data informatics, artificial intelligence, nature-inspired algorithms, IoT, Industry 4.0, simulation approaches, analytical strategies, quality tools, roots and pillars, diagnostic tools, and methodical strategies, this handbook provides the most up-to-date and advanced information source available. This handbook will help industries and organizations to implement intelligent manufacturing and move towards the sustainability of manufacturing practices. It will also serve as a reference for senior graduate-level courses in mechanical, production, industrial, and aerospace engineering and a value-added asset to libraries of all technical institutions.

In the conditions of the modern market economy, in which globalization and competition are rife, quality is of great importance for determining a company's position in the market. The changing and complex economic reality is shaping new market patterns while modern technologies influence purchasing decisions. This book presents an effective and novel framework for creating value in Industry 4.0 conditions by building a smart enterprise model using quality management theories. The book explores tools and platforms that can be utilized to contribute to the creation of the ideal quality for demanding customers, using case studies from international contributors. It proposes novel architectures that drive economically viable production and services businesses, addressing unique Industry 4.0 and 5.0 solutions in Internet of Things (IoT) that involve the entire spectrum of analysis, with a special focus on lean methodologies and cybersecurity. This original book will be valuable reading for researchers and scholars in the areas of quality management, manufacturing, production, and operations management.

This book provides various approaches to complex industrial problems in sustainability, operations management and industrial engineering. It features in-depth research presented by academics, scholars, researcher and professionals at the 3rd International Conference on Quality Innovation and Sustainability (ICQIS) in the fields of quality, innovation, sustainability and operations management. It addresses topics such as quality management systems; Lean and Six Sigma; information systems for quality management; data management and industry 4.0; innovative solutions for quality challenges; environmental quality policies and standards; circular economy and life cycle costing; occupational health; safety and welfare in manufacturing; and smart systems, among others.

Enables readers to use real-world data from connected devices to improve product performance, detect design vulnerabilities, and design better solutions Quality in the Era of Industry 4.0 provides an insightful guide in harnessing user performance and behavior data through AI and other Industry 4.0 technologies. This transformative approach enables companies not only to optimize products and services in real-time, but also to anticipate and mitigate likely failures proactively. In a succinct and lucid style, the book presents a pioneering framework for a new paradigm of quality management in the Industry 4.0 landscape. It introduces groundbreaking techniques such as utilizing real-world data to tailor products for superior fit and performance, leveraging connectivity to adapt products to evolving needs and use-cases, and employing cutting-edge manufacturing methods to create bespoke, cost-effective solutions with greater efficiency. Case examples featuring applications from the automotive, mobile device, home appliance, and healthcare industries are used to illustrate how these new quality approaches can be used to benchmark the product’s performance and durability, maintain smart manufacturing, and detect design vulnerabilities. Written by a seasoned expert with experience teaching quality management in both corporate and academic settings, Quality in the Era of Industry 4.0 covers sample topics such as: Evolution of quality through industrial revolutions, from ancient times to the first and second industrial revolutions Quality by customer value creation, explaining differences in producers, stakeholders, and customers in the new digital age, along with new realities brought by Industry 4.0 Data quality dimensions and strategy, data governance, and new talents and skill sets for quality professionals in Industry 4.0 Automated product lifecycle management, predictive quality control, and defect prevention using technologies like smart factories, IoT, and sensors Quality in the Era of Industry 4.0 is a highly valuable resource for product engineers, quality managers, quality engineers and quality consultants, industrial engineers, and systems engineers who wish to make a participatory approach towards data-driven design, economical mass-customization, and late differentiation.

"A large and growing number of manufacturers are realizing substantial financial and environmental benefits from sustainable business practices. To develop more sustainable societies, industries need to better understand how to respond to environmental, economic, and social challenges and transform industrial behavior. The objective of this book is to provide knowledge and accelerate the transition towards a sustainable industrial system. The book will help the industry to raise operational efficiency by reducing costs and waste. It will increase industry respond or reach new customers and increase competitive advantage. It offers innovation, scenario planning, and strategic analysis that goes beyond compliance, as well as case studies and remedies to industry 4.0 challenges. This is a growing area and a lot of industries will benefit from this book. Professionals as well as students will refer to this book to add to their knowledge towards Industry 4.0 and it will also help to develop new ideas and solutions to existing and future problems"--