Artificial Intelligence Techniques For Networked Manufacturing Enterprises Management

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Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management

Author : Lyes Benyoucef
Publisher : Springer Science & Business Media
ISBN 13 : 1849961190
Total Pages : 508 pages
Book Rating : 4.8/5 (499 download)

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Book Synopsis Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management by : Lyes Benyoucef

Download or read book Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management written by Lyes Benyoucef and published by Springer Science & Business Media. This book was released on 2010-05-10 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management addresses prominent concepts and applications of AI technologies in the management of networked manufacturing enterprises. The aim of this book is to align latest practices, innovation and case studies with academic frameworks and theories, where AI techniques are used efficiently for networked manufacturing enterprises. More specifically, it includes the latest research results and projects at different levels addressing quick-response system, theoretical performance analysis, performance and capability demonstration. The role of emerging AI technologies in the modelling, evaluation and optimisation of networked enterprises’ activities at different decision levels is also covered. Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management is a valuable guide for postgraduates and researchers in industrial engineering, computer science, automation and operations research.

Artificial Neural Networks for Intelligent Manufacturing

Author : C.H. Dagli
Publisher : Springer Science & Business Media
ISBN 13 : 9401107130
Total Pages : 474 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Artificial Neural Networks for Intelligent Manufacturing by : C.H. Dagli

Download or read book Artificial Neural Networks for Intelligent Manufacturing written by C.H. Dagli and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quest for building systems that can function automatically has attracted a lot of attention over the centuries and created continuous research activities. As users of these systems we have never been satisfied, and demand more from the artifacts that are designed and manufactured. The current trend is to build autonomous systems that can adapt to changes in their environment. While there is a lot to be done before we reach this point, it is not possible to separate manufacturing systems from this trend. The desire to achieve fully automated manufacturing systems is here to stay. Manufacturing systems of the twenty-first century will demand more flexibility in product design, process planning, scheduling and process control. This may well be achieved through integrated software and hardware archi tectures that generate current decisions based on information collected from manufacturing systems environment, and execute these decisions by converting them into signals transferred through communication network. Manufacturing technology has not yet reached this state. However, the urge for achieving this goal is transferred into the term 'Intelligent Systems' that we started to use more in late 1980s. Knowledge-based systems, our first efforts in this endeavor, were not sufficient to generate the 'Intelligence' required - our quest still continues. Artificial neural network technology is becoming an integral part of intelligent manufacturing systems and will have a profound impact on the design of autonomous engineering systems over the next few years.

Advances in Information and Communication

Author : Kohei Arai
Publisher : Springer
ISBN 13 : 303012388X
Total Pages : 1061 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Advances in Information and Communication by : Kohei Arai

Download or read book Advances in Information and Communication written by Kohei Arai and published by Springer. This book was released on 2019-02-01 with total page 1061 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a remarkable collection of chapters that cover a wide range of topics in the areas of information and communication technologies and their real-world applications. It gathers the Proceedings of the Future of Information and Communication Conference 2019 (FICC 2019), held in San Francisco, USA from March 14 to 15, 2019. The conference attracted a total of 462 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. Following a double-blind peer review process, 160 submissions (including 15 poster papers) were ultimately selected for inclusion in these proceedings. The papers highlight relevant trends in, and the latest research on: Communication, Data Science, Ambient Intelligence, Networking, Computing, Security, and the Internet of Things. Further, they address all aspects of Information Science and communication technologies, from classical to intelligent, and both the theory and applications of the latest technologies and methodologies. Gathering chapters that discuss state-of-the-art intelligent methods and techniques for solving real-world problems, along with future research directions, the book represents both an interesting read and a valuable asset.

Artificial Intelligence and Industrial Applications

Author : Tawfik Masrour
Publisher : Springer Nature
ISBN 13 : 3031435249
Total Pages : 318 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Artificial Intelligence and Industrial Applications by : Tawfik Masrour

Download or read book Artificial Intelligence and Industrial Applications written by Tawfik Masrour and published by Springer Nature. This book was released on 2023-10-16 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization. A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice. Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.

Artificial Intelligence and Machine Learning in Business Management

Author : Sandeep Kumar Panda
Publisher : CRC Press
ISBN 13 : 1000432114
Total Pages : 278 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence and Machine Learning in Business Management by : Sandeep Kumar Panda

Download or read book Artificial Intelligence and Machine Learning in Business Management written by Sandeep Kumar Panda and published by CRC Press. This book was released on 2021-11-05 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Machine Learning in Business Management The focus of this book is to introduce artificial intelligence (AI) and machine learning (ML) technologies into the context of business management. The book gives insights into the implementation and impact of AI and ML to business leaders, managers, technology developers, and implementers. With the maturing use of AI or ML in the field of business intelligence, this book examines several projects with innovative uses of AI beyond data organization and access. It follows the Predictive Modeling Toolkit for providing new insight on how to use improved AI tools in the field of business. It explores cultural heritage values and risk assessments for mitigation and conservation and discusses on-shore and off-shore technological capabilities with spatial tools for addressing marketing and retail strategies, and insurance and healthcare systems. Taking a multidisciplinary approach for using AI, this book provides a single comprehensive reference resource for undergraduate, graduate, business professionals, and related disciplines.

Artificial Intelligence Paradigms for Smart Cyber-Physical Systems

Author : Luhach, Ashish Kumar
Publisher : IGI Global
ISBN 13 : 1799851028
Total Pages : 392 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Artificial Intelligence Paradigms for Smart Cyber-Physical Systems by : Luhach, Ashish Kumar

Download or read book Artificial Intelligence Paradigms for Smart Cyber-Physical Systems written by Luhach, Ashish Kumar and published by IGI Global. This book was released on 2020-11-13 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cyber-physical systems (CPS) have emerged as a unifying name for systems where cyber parts (i.e., the computing and communication parts) and physical parts are tightly integrated, both in design and during operation. Such systems use computations and communication deeply embedded in and interacting with human physical processes as well as augmenting existing and adding new capabilities. As such, CPS is an integration of computation, networking, and physical processes. Embedded computers and networks monitor and control the physical processes, with feedback loops where physical processes affect computations and vice versa. The economic and societal potential of such systems is vastly greater than what has been realized, and major investments are being made worldwide to develop the technology. Artificial Intelligence Paradigms for Smart Cyber-Physical Systems focuses on the recent advances in Artificial intelligence-based approaches towards affecting secure cyber-physical systems. This book presents investigations on state-of-the-art research issues, applications, and achievements in the field of computational intelligence paradigms for CPS. Covering topics that include autonomous systems, access control, machine learning, and intrusion detection and prevention systems, this book is ideally designed for engineers, industry professionals, practitioners, scientists, managers, students, academicians, and researchers seeking current research on artificial intelligence and cyber-physical systems.

Applications and Markets for Cooperating Objects

Author : Stamatis Karnouskos
Publisher : Springer Science & Business Media
ISBN 13 : 3642454011
Total Pages : 129 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Applications and Markets for Cooperating Objects by : Stamatis Karnouskos

Download or read book Applications and Markets for Cooperating Objects written by Stamatis Karnouskos and published by Springer Science & Business Media. This book was released on 2014-01-06 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview and an insight in cooperative objects and defines the classification of topics into the different areas. A significant number of researchers and industrial partners were contacted in order to prepare the roadmap. The book presents of the main results provided by the corresponding European project "CONET".

Business Process Management

Author : Alistair Barros
Publisher : Springer
ISBN 13 : 3642328857
Total Pages : 354 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Business Process Management by : Alistair Barros

Download or read book Business Process Management written by Alistair Barros and published by Springer. This book was released on 2012-08-27 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 10th International Conference on Business Process Management, BPM 2012, held in Tallinn, Estonia, in September 2012. The 17 regular papers and 7 short papers included in this volume were carefully reviewed and selected from 126 submissions. The book also features two keynote lectures which were given at the conference. The papers are organized in topical sections named: process quality; conformance and compliance; BPM applications; process model analysis; BPM and the cloud; requirements and performance; process mining; and refactoring and optimization.

Artificial Intelligence Applications in Manufacturing

Author : A. Fazel Famili
Publisher : Menlo Press, Calif. : AAAI Press/MIT Press
ISBN 13 :
Total Pages : 488 pages
Book Rating : 4.:/5 (45 download)

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Book Synopsis Artificial Intelligence Applications in Manufacturing by : A. Fazel Famili

Download or read book Artificial Intelligence Applications in Manufacturing written by A. Fazel Famili and published by Menlo Press, Calif. : AAAI Press/MIT Press. This book was released on 1992 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past decade has seen considerable advances in CAE tools that employ leading-edge artificial intelligence techniques and that can be used with CAD/CAM tools to reduce design costs. In three parts, this book covers current Al applications that can prove beneficial in the design and planning stages of manufacturing, that can assist in solving scheduling and control problems, and that can be used in manufacturing integration.A. F. Famili is Research Scientist at the Knowledge Systems Laboratory of the National Research Council of Canada. Steven H. Kim is Visiting Fellow at the Design Research Institute, Cornell University. Dana S. Nau an Associate Professor in the Computer Science Department at the University of Maryland.Contents: Application of Machine Learning to Industrial Planning and Decision Making. Incorporating Special Purpose Resource Design in Planning to Make More Efficient Plans. Geometric Reasoning Using a Feature Algebra. Backward Assembly Planning Symmetry Groups in Solid Model-Based Assembly Planning. An Expert System Approach for Economic Evaluation of Machining Operation Planning. Interactive Problem Solving for Production Planning. An Abstraction-Based Search and Learning Approach for Effective Scheduling. ADDYMS: Architecture for Distributed Dynamic Manufacturing Scheduling. An Architecture for Real Time Distributed Scheduling. Teamwork Among Intelligent Agents: Framework and Case Study in Robotic Service. Exploiting Local Flexibility During Execution of Precomputed Schedules. Symbolic Representation and Planning for Robot Control Systems in Manufacturing. An Architecture for Integrating Enterprise Automation. An Intelligent Agent Framework for Enterprise Integration. Integrated Software System for Intelligent Manufacturing. Enterprise Management Network Architecture: A Tool for Manufacturing Enterprise Integration. Design and Manufacturing: Integration through Quality.

Convergence of Industry 4.0 and Supply Chain Sustainability

Author : Khan, Muhammad Rahies
Publisher : IGI Global
ISBN 13 :
Total Pages : 511 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Convergence of Industry 4.0 and Supply Chain Sustainability by : Khan, Muhammad Rahies

Download or read book Convergence of Industry 4.0 and Supply Chain Sustainability written by Khan, Muhammad Rahies and published by IGI Global. This book was released on 2024-03-22 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the ever-increasing landscape of industry and technology, companies worldwide face an unprecedented challenge. The relentless march of progress, epitomized by the revolution of Industry 4.0, demands adaptation for survival and competitiveness. The integration of technologies such as the Internet of Things (IoT), blockchain, artificial intelligence, additive manufacturing, and robotics has irrevocably altered manufacturing and supply chain operations. What was initially a quest for augmented quality and production has now become an inexorable pursuit of sustainability. The United Nations Sustainable Development Goals (UNSDG) 2030 have left no room for exemptions, making sustainability an imperative at the heart of every business strategy. The answer to this pressing challenge lies within the pages of the book, Convergence of Industry 4.0 and Supply Chain Sustainability. It serves a meticulously curated collection of research that illuminates the intricacies of implementing Industry 4.0 and the ramifications for sustainable supply chains. Our work focuses on the associated challenges and opportunities encountered by the adoption of Industry 4.0 in supply chain management (SCM).

Revolutionizing Collaboration through e-Work, e-Business, and e-Service

Author : Shimon Y. Nof
Publisher : Springer
ISBN 13 : 3662457776
Total Pages : 430 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Revolutionizing Collaboration through e-Work, e-Business, and e-Service by : Shimon Y. Nof

Download or read book Revolutionizing Collaboration through e-Work, e-Business, and e-Service written by Shimon Y. Nof and published by Springer. This book was released on 2015-06-10 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collaboration in highly distributed organizations of people, robots, and autonomous systems is and must be revolutionized by engineering augmentation. The aim is to augment humans’ abilities at work and, through this augmentation, improve organizations’ abilities to accomplish their missions. This book establishes the theoretical foundations and design principles of collaborative e-Work, e-Business and e-Service, their models and applications, design and implementation techniques. The fundamental premise is that without effective e-Work and e-Services, the potential of emerging activities, such as e-Commerce, virtual manufacturing, tele-robotic medicine, automated construction, smart energy grid, cyber-supported agriculture, and intelligent transportation cannot be fully materialized. Typically, workers and managers of such value networks are frustrated with complex information systems, originally designed and built to simplify and improve performance. Even if the human-computer interface for such systems is well designed, the information and task overloads can be overwhelming. Effective delivery of expected outcomes may not occur. Challenges and emerging solutions in the context of the recently developed CCT, Collaborative Control Theory, are described, with emphasis on issues of computer-supported and communication-enabled integration, coordination and augmented collaboration. Research results and analyses of engineering design methods and complex systems management techniques are explained and illustrated.

Digital Manufacturing and Assembly Systems in Industry 4.0

Author : Kaushik Kumar
Publisher : CRC Press
ISBN 13 : 0429876610
Total Pages : 162 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Digital Manufacturing and Assembly Systems in Industry 4.0 by : Kaushik Kumar

Download or read book Digital Manufacturing and Assembly Systems in Industry 4.0 written by Kaushik Kumar and published by CRC Press. This book was released on 2019-07-03 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Manufacturing, like other industries, is rising to the challenges imposed by aggressive consumer demands and the need for cost-effective processing that delivers quality in the fastest possible time. Fierce competition means that keeping abreast of new developments and applications in technology is essential if companies are to meet demands profitably and keep ahead of competitors. This book investigates the design and management of digital manufacturing and assembly systems for an efficient, flexible, and modular production of customized products using the I40 (industry 4.0)-enabling technologies. This book will also provide case studies covering modeling, simulation, and optimization. eBook includes color figures. Discusses how the advancement of data communication and storage through the Internet of Things (IoT) opens the possibilities of connecting sensors, robots, and devices Sheds light on how the human role in industry is decreasing due to the development of connected manufacturing floors, allowing them to take more control over the manufacturing processes, decisions, and even maintenance Covers the benefits from exploiting digital manufacturing, manufacturing enterprises, and what they expect to achieve Explains the important roles that modeling, simulation, and optimization play Investigates the design and management of digital manufacturing and assembly systems for an efficient, flexible, and modular production of customized products exploiting the I40 (industry 4.0)-enabling technologies

Quality Control

Author : Pengzhong Li
Publisher : BoD – Books on Demand
ISBN 13 : 1839624973
Total Pages : 244 pages
Book Rating : 4.8/5 (396 download)

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Book Synopsis Quality Control by : Pengzhong Li

Download or read book Quality Control written by Pengzhong Li and published by BoD – Books on Demand. This book was released on 2021-03-24 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quality control is changing along with the manufacturing environment. A series of revolutionary changes will occur in management contents, methods, capabilities, and real-time effectiveness and efficiency of management. As an essential factor in intelligent manufacturing, quality control systems require real and comprehensive innovation. Focused on new trends and developments in quality control from a worldwide perspective, this book presents the latest information on novel approaches in quality control. Its thirteen chapters cover three topics: intelligent manufacturing, robust design, and control charts.

Computational Intelligence for Modern Business Systems

Author : Sandeep Kautish
Publisher : Springer Nature
ISBN 13 : 9819953545
Total Pages : 523 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Computational Intelligence for Modern Business Systems by : Sandeep Kautish

Download or read book Computational Intelligence for Modern Business Systems written by Sandeep Kautish and published by Springer Nature. This book was released on 2023-12-05 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the applications of computational intelligence techniques in business systems and advocates how these techniques are useful in modern business operations. The book redefines the computational intelligence foundations, the three pillars - neural networks, evolutionary computation, and fuzzy systems. It also discusses emerging areas such as swarm intelligence, artificial immune systems (AIS), support vector machines, rough sets, and chaotic systems. The other areas have also been demystified in the book to strengthen the range of computational intelligence techniques such as expert systems, knowledge-based systems, and genetic algorithms. Therefore, this book will redefine the role of computational intelligence techniques in modern business system operations such as marketing, finance & accounts, operations, personnel management, supply chain management, and logistics. Besides, this book guides the readers through using them to model, discover, and interpret new patterns that cannot be found through statistical methods alone in various business system operations. This book reveals how computational intelligence can inform the design and integration of services, architecture, brand identity, and product portfolio across the entire enterprise. The book will provide insights into research gaps, open challenges, and unsolved computational intelligence problems. The book will act as a premier reference and instant material for all the users who are contributing/practicing the adaptation of computational intelligence modern techniques in business systems.

Internet of Things

Author : Vlasios Tsiatsis
Publisher : Academic Press
ISBN 13 : 012814436X
Total Pages : 390 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Internet of Things by : Vlasios Tsiatsis

Download or read book Internet of Things written by Vlasios Tsiatsis and published by Academic Press. This book was released on 2018-11-16 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Internet of Things: Technologies and Applications for a New Age of Intelligence outlines the background and overall vision for the Internet of Things (IoT) and Cyber-Physical Systems (CPS), as well as associated emerging technologies. Key technologies are described including device communication and interactions, connectivity of devices to cloud-based infrastructures, distributed and edge computing, data collection, and methods to derive information and knowledge from connected devices and systems using artificial intelligence and machine learning. Also included are system architectures and ways to integrate these with enterprise architectures, and considerations on potential business impacts and regulatory requirements. Presents a comprehensive overview of the end-to-end system requirements for successful IoT solutions Provides a robust framework for analyzing the technology and market requirements for a broad variety of IoT solutions Covers in-depth security solutions for IoT systems Includes a detailed set of use cases that give examples of real-world implementation

Machine Learning and Artificial Intelligence with Industrial Applications

Author : Diego Carou
Publisher : Springer Nature
ISBN 13 : 3030910067
Total Pages : 216 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Machine Learning and Artificial Intelligence with Industrial Applications by : Diego Carou

Download or read book Machine Learning and Artificial Intelligence with Industrial Applications written by Diego Carou and published by Springer Nature. This book was released on 2022-03-11 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the tools used in machine learning (ML) and the benefits of using such tools in facilities. It focus on real life business applications, explaining the most popular algorithms easily and clearly without the use of calculus or matrix/vector algebra. Replete with case studies, this book provides a working knowledge of ML current and future capabilities and the impact it will have on every business. It demonstrates that it is also possible to carry out successful ML and AI projects in any manufacturing plant, even without fully fulfilling the five V (Volume, Velocity, Variety, Veracity and Value) usually associated with big data. This book takes a closer look at how AI and ML are also able to work for industrial area, as well as how you could adapt some of the standard tips and techniques (usually for big data) for your own needs in your SME. Organizations which first understand these tools and know how to use them will benefit at the expense of their rivals.

Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning

Author : Thorsten Wuest
Publisher : Springer
ISBN 13 : 3319176110
Total Pages : 272 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning by : Thorsten Wuest

Download or read book Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning written by Thorsten Wuest and published by Springer. This book was released on 2015-04-20 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book reports on a novel approach for holistically identifying the relevant state drivers of complex, multi-stage manufacturing systems. This approach is able to utilize complex, diverse and high-dimensional data sets, which often occur in manufacturing applications, and to integrate the important process intra- and interrelations. The approach has been evaluated using three scenarios from different manufacturing domains (aviation, chemical and semiconductor). The results, which are reported in detail in this book, confirmed that it is possible to incorporate implicit process intra- and interrelations on both a process and programme level by applying SVM-based feature ranking. In practice, this method can be used to identify the most important process parameters and state characteristics, the so-called state drivers, of a manufacturing system. Given the increasing availability of data and information, this selection support can be directly utilized in, e.g., quality monitoring and advanced process control. Importantly, the method is neither limited to specific products, manufacturing processes or systems, nor by specific quality concepts.