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

Author: Thorsten Wuest
Publisher: Springer
ISBN: 3319176110
Format: PDF, ePub
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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.

Multiscale Simulation Approach for Battery Production Systems

Author: Malte Schönemann
Publisher: Springer
ISBN: 3319493671
Format: PDF
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Addressing the challenge of improving battery quality while reducing high costs and environmental impacts of the production, this book presents a multiscale simulation approach for battery production systems along with a software environment and an application procedure. Battery systems are among the most important technologies of the 21st century since they are enablers for the market success of electric vehicles and stationary energy storage solutions. However, the performance of batteries so far has limited possible applications. Addressing this challenge requires an interdisciplinary understanding of dynamic cause-effect relationships between processes, equipment, materials, and environmental conditions. The approach in this book supports the integrated evaluation of improvement measures and is usable for different planning horizons. It is applied to an exemplary battery cell production and module assembly in order to demonstrate the effectiveness and potential benefits of the simulation.

Advances in Production Management Systems The Path to Intelligent Collaborative and Sustainable Manufacturing

Author: Hermann Lödding
Publisher: Springer
ISBN: 3319669230
Format: PDF, Mobi
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The two-volume set IFIP AICT 513 and 514 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2017, held in Hamburg, Germany, in September 2017. The 121 revised full papers presented were carefully reviewed and selected from 163 submissions. They are organized in the following topical sections: smart manufacturing system characterization; product and asset life cycle management in smart factories of industry 4.0; cyber-physical (IIoT) technology deployments in smart manufacturing systems; multi-disciplinary collaboration in the development of smart product-service solutions; sustainable human integration in cyber-physical systems: the operator 4.0; intelligent diagnostics and maintenance solutions; operations planning, scheduling and control; supply chain design; production management in food supply chains; factory planning; industrial and other services; operations management in engineer-to-order manufacturing; gamification of complex systems design development; lean and green manufacturing; and eco-efficiency in manufacturing operations.

Methods and Experimental Techniques in Computer Engineering

Author: Francesco Amigoni
Publisher: Springer Science & Business Media
ISBN: 3319002724
Format: PDF, Docs
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Computing and science reveal a synergic relationship. On the one hand, it is widely evident that computing plays an important role in the scientific endeavor. On the other hand, the role of scientific method in computing is getting increasingly important, especially in providing ways to experimentally evaluate the properties of complex computing systems. This book critically presents these issues from a unitary conceptual and methodological perspective by addressing specific case studies at the intersection between computing and science. The book originates from, and collects the experience of, a course for PhD students in Information Engineering held at the Politecnico di Milano. Following the structure of the course, the book features contributions from some researchers who are working at the intersection between computing and science.

Global Production Management

Author: Kai Mertins
Publisher: Springer Science & Business Media
ISBN: 9780792386056
Format: PDF, Mobi
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The globalization of manufacturing is a key development in most industries over the last decade. New technologies like e-commerce, genetic algorithms, and neural networks have to be adapted to the manufacturing environment. This book deals with methods and tools suitable for designing, managing and controlling processes within the supply chain. Virtual Enterprise and Extended Enterprise are the terms which describe the challenges for global production management. The implementation of global production management requires integration of business processes, technical and organizational aspects. The main topics of the papers selected for this book are therefore: Strategic manufacturing issues and design of virtual enterprises; Supply chain management; Performance measurement and management information; Business process engineering; Modeling and simulation; Advanced scheduling approaches and decision support; IT systems to support global production . The book contains case studies as well as reports on research findings. The papers represent a summary of current issues which have been presented at the International Conference on Advances in Production Management Systems (APMS) in September 1999. This event was sponsored by the International Federation of Information Processing (IFIP), and was organized by the Fraunhofer Institute for Production Systems and Design Technology (IPK), Berlin. The authors are leading experts within the international community in the field of production management. Global Production Management is suitable as a reference for researchers and practitioners in global manufacturing, supply chain management, logistics and IT services, and consultants. It can also be used as further reading for advanced courses on management and manufacturing.

Machine Learning in Action

Author: Peter Harrington
Publisher: Manning Publications
ISBN: 9781617290183
Format: PDF
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Provides information on the concepts of machine theory, covering such topics as statistical data processing, data visualization, and forecasting.

Machine Learning for Cyber Physical Systems

Author: Jürgen Beyerer
Publisher: Springer
ISBN: 3662538067
Format: PDF, ePub, Mobi
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The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, September 29th, 2016. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

An Introduction to Statistical Learning

Author: Gareth James
Publisher: Springer Science & Business Media
ISBN: 1461471389
Format: PDF, Docs
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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

Autonomous Driving

Author: Markus Maurer
Publisher: Springer
ISBN: 3662488477
Format: PDF, Docs
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This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies? Experts from Germany and the United States define key societal, engineering, and mobility issues related to the automation of vehicles. They discuss the decisions programmers of automated vehicles must make to enable vehicles to perceive their environment, interact with other road users, and choose actions that may have ethical consequences. The authors further identify expectations and concerns that will form the basis for individual and societal acceptance of autonomous driving. While the safety benefits of such vehicles are tremendous, the authors demonstrate that these benefits will only be achieved if vehicles have an appropriate safety concept at the heart of their design. Realizing the potential of automated vehicles to reorganize traffic and transform mobility of people and goods requires similar care in the design of vehicles and networks. By covering all of these topics, the book aims to provide a current, comprehensive, and scientifically sound treatment of the emerging field of “autonomous driving".

Integrated Design and Manufacturing in Mechanical Engineering

Author: Patrick Chedmail
Publisher: Springer Science & Business Media
ISBN: 9401155887
Format: PDF, Mobi
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This volume contains the selected papers of the first I.D.M.M.E. conference on 'Integrated Design and Manufacturing in Mechanical Engineering', held in Nantes from 15-17 April 1996. Its objective was to discuss the questions related to the definition of the optimal design and manufacturing processes and to their integration through coherent methodologies in adapted environments. The initiative of the Conference and the organization thereof, is mainly due to the efforts of the french PRIMECA group (Pool of Computer Resources for Mechanics) started eight years ago. We were able to attract the internationru community with the support of the International Institution for Production Engineering Research (C.I.R.P.). The conference brought together two hundred and fifty specialists from around the world. About ninety papers and twenty posters were presented covering three main topics : optimization and evaluation of the product design process, optimization and evaluation of the manufacturing systems and methodological aspects.