Böcker i Science, Technology, and Management-serien

At present, both Industry 4.0 and industrial engineering management developments are reshaping the industrial sector worldwide. Industry 4.0 and sustainability are considered as the crucial emerging trends in industrial production systems. The resulting transformations are changing production modes from traditional to digital, intelligent, and decentralized. It is expected that Industry 4.0 will help drive sustainability in industries thanks to the implementation of advanced technology and a move towards social sustainability. This book reflects on the consequences of the transition to Industry 4.0 for climate change. The book presents a systemic overview of the current negative impacts of digitization on the environment and showcases a new outline of the energy domain and expected changes in environmental pollution levels under Industry 4.0. It also analyzes the ecological consequences of the growth and development of Industry 4.0 and considers Industry 4.0 as an alternative to fighting climate change, in the sense of shifting the global community's attention from environmental protection to consolidation of the digital economy. This book will be of interest to academicians and practitioners in the fields of climate change and development of Industry 4.0, and it will contribute to national economic policies for fighting climate change and corporate strategies of sustainable development under Industry 4.0.

This book connects modern manufacturing methods and emerging trends in the industry. It adds a thorough examination of modern manufacturing techniques and modifications that may be implemented in the future, and is an excellent resource of information for undergraduate and graduate students in manufacturing.

Sustainable Materials and Manufacturing Technologies is primarily written for senior undergraduate and graduate students, and for researchers in the field of mechanical, manufacturing, industrial, production engineering and material science.

This book addresses topics related to AI, machine learning, deep learning, and cloud computing in materials science. It brings together researchers, developers, practitioners, and users to explore new ideas, techniques, and tools, and to exchange their experiences.

This book discusses advanced materials and manufacturing processes with insights and overviews on tribology, automation, mechanical, biomedical, and aerospace engineering, and optimization of industrial applications. The book explores the different types of composite materials as well as reporting on the design considerations.

This book focuses on high-k materials for advanced FET devices. It discusses emerging challenges in the engineering and applications and considers issues with associated technologies.

This book examines Multi-Criteria Decision Modelling (MCDM) and facilitates diverse ways for it to be a useful tool for strategic decision making. It provides a practical foundation and can be used in addressing the problems of emerging markets to show ways for a company to use these methods in order to achieve sustainability.

Advances in manufacturing and industrial engineering in terms of advanced and latest technologies are required nowadays to fulfill the accelerated demands of high quality, productivity, and sustainability simultaneously. This book offers unique comprehensive chapters on advancements for high productivity, quality, and sustainability.

This book provides a key understanding of CATIA which is a solid modeling software. By using screen shots of step-by-step training, the reader will obtain comprehensive knowledge of all tools provided in CATIA for use in a variety of engineering fields.

This book is about the Integration of Process Planning and Scheduling (IPPS) functions involving various machining environments. Fundamentals are presented, as well as benchmarking programs, to developed IPPS problems. The book is also for both beginners as well as advanced researchers in the field of manufacturing systems.

This book covers developments and advances of algorithm based optimization techniques These techniques were only used for non-engineering problems. This book applies them to engineering problems.

This book investigates design and management of digital manufacturing and assembly of products using Industry 4.0 technologies. It covers machine learning and AI processes, additive manufacturing, virtualization and simulation techniques, and other technologies. Includes case studies of modelling, simulation and optimization.

This multi-contributed handbook will contain chapters covering IoT and Big Data, as well as case studies. The book will play a key role for the reader to understand the current scenario and growing paradigm.