Big data analytics in smart manufacturing, P Suresh et al.
Автор: Rupinder Singh, Balwinder Singh Dhaliwal, Shyam Sundar Pattnaik Название: 3d printing of sensors, actuators, and antennas for low-cost product manufacturing ISBN: 1032046805 ISBN-13(EAN): 9781032046808 Издательство: Taylor&Francis Рейтинг: Цена: 81650.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses the 3D printing of sensors, actuators, and antennas and illustrates how manufacturers can create smart materials that can be effectively used to prepare low-cost products. The book also includes how to select the appropriate process for your manufacturing needs. 3D Printing of Sensors, Actuators, and Antennas for Low-Cost Product Manufacturing offers the most recent developments in 3D printing of sensors, actuators, and antennas for low-cost product manufacturing; the book highlights some of the commercially available low-cost 3D printing processes that have higher efficiency and accuracy. Fundamental principles and working methodologies are presented with a critical review of the past work involved and current trends with future predictions. It covers composite and polymeric materials widely used and specifically focuses on low-cost elements. Recent breakthroughs and advantages in product manufacturing when printing smart materials are also discussed. Manufacturing engineers, product designers, manufacturing industries, as well as graduate students, and research scholars will find this book very useful for their work and studies.
Автор: Pedro Neto; Ant?nio Paulo Moreira Название: Robotics in Smart Manufacturing ISBN: 3642392229 ISBN-13(EAN): 9783642392221 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The papers address issues such as robotic machining, off-line robot programming, robot calibration, new robotic hardware and software architectures, advanced robot teaching methods, intelligent warehouses, robot co-workers and application of robots in the textile industry.
Автор: Ilkyeong Moon; Gyu M. Lee; Jinwoo Park; Dimitris K Название: Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 ISBN: 3030076245 ISBN-13(EAN): 9783030076245 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The two-volume set IFIP AICT 535 and 536 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2018, held in Seoul, South Korea, in August 2018.The 129 revised full papers presented were carefully reviewed and selected from 149 submissions. They are organized in the following topical sections: lean and green manufacturing; operations management in engineer-to-order manufacturing; product-service systems, customer-driven innovation and value co-creation; collaborative networks; smart production for mass customization; global supply chain management; knowledge based production planning and control; knowledge based engineering; intelligent diagnostics and maintenance solutions for smart manufacturing; service engineering based on smart manufacturing capabilities; smart city interoperability and cross-platform implementation; manufacturing performance management in smart factories; industry 4.0 - digital twin; industry 4.0 - smart factory; and industry 4.0 - collaborative cyber-physical production and human systems.
Автор: V.K. Jain Название: Micromanufacturing Processes ISBN: 1138076422 ISBN-13(EAN): 9781138076426 Издательство: Taylor&Francis Рейтинг: Цена: 64300.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Increased demand for and developments in micromanufacturing have created a need for a resource that covers both the science and technology of this rapidly growing area. With contributions from eminent professors and researchers actively engaged in teaching, research, and development, Micromanufacturing Processes details the basic principles, tools, techniques, and latest advances in micromanufacturing processes. It includes coverage of measurement techniques and research trends as well as a large number of cross-references, making it useful to the students and researchers alike.
The book outlines the challenges faced not only in micromanufacturing but also in meso- and nanomanufacturing, exploring topics such as micromachining, micro welding, microforming, micromolding, nanofinishing and micro-/nano-metrology. It includes examples that demonstrate the capabilities of fabricating micro- / nano-products and micro- / nano-features on the macro and micro products. The text also discusses nanofinishing techniques giving surface finish in the domain of sub-nano level, micro welding techniques, namely, laser beam micro welding, electron beam micro welding, micro / nano patterning in large quantities, and micro / nano metrology principles and equipments. It goes on to describe devices such as nano spring, micro mixer, micro cantilever, to name just a few.
Unique in its level of coverage, the book highlights new challenges in manufacturing and covers several different types of micromanufacturing processes, such as micromachining, microforming, microcasting, microjoining, nanofinishing, and micrometrology. The level of details, extensive references, figures, and diagrams make the book a reference that will become the standard for this field.
Автор: Kuhnle, Hermann Bitsch, Gunter Название: Foundations & principles of distributed manufacturing ISBN: 3319180770 ISBN-13(EAN): 9783319180779 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction.- Description of the Working Field.- Theory Building Approach.- Process Models and Networks' Analysis.- Smart Manufacturing Units.- Networking Tools and Information Models.- Conclusions and Outlook.
Автор: Chen Название: Production Planning and Control in Semiconductor Manufacturing ISBN: 3031140648 ISBN-13(EAN): 9783031140648 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book systematically analyzes the applicability of big data analytics and Industry 4.0 from the perspective of semiconductor manufacturing management. It reports in real examples and presents case studies as supporting evidence. In recent years, technologies of big data analytics and Industry 4.0 have been frequently applied to the management of semiconductor manufacturing. However, related research results are mostly scattered in various journal issues or conference proceedings, and there is an urgent need for a systematic integration of these results. In addition, many related discussions have placed too much emphasis on the theoretical framework of information systems rather than on the needs of semiconductor manufacturing management. This book addresses these issues.
1.Introduction to Industrial Analytics.- 2. Measuring Performance.- 3. Modelling and Simulating Systems.- 4. Optimising Systems.- 5. Production Control and Scheduling.- 6. Simulating Demand Forecasts.- 7. Investigating Time Series Data.- 8. Determining the Minimum Information for Effective Control.- 9. Constructing Machine Learning Models for Prediction.- 10. Exploring Model Accuracy.- 11. Building a Business Case for Sensing Technology Adoption.- 12. Improving Throughput by Utilising Sensor Data.- 13. Constructing a Digital Factory Model to Optimise Production.- 14. Examining a Digital Supply Chain.- 15. Probability Essentials.- 16. Building Simulations with Spreadsheets.- 17. Using Python to Construct Manufacturing Models.- 18. Predictive Analytics with KNIME.- 19. Using R to Evaluate Data.- 20. Example Case Study Data.
Автор: Sujatha R., Aarthy S. L., Vettriselvan R. Название: Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics ISBN: 0367466635 ISBN-13(EAN): 9780367466633 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of big data along with deep learning systems.
Название: Business intelligence and analytics in small and medium enterprises ISBN: 0367173883 ISBN-13(EAN): 9780367173883 Издательство: Taylor&Francis Рейтинг: Цена: 168430.00 T Наличие на складе: Нет в наличии. Описание: The use of new technologies in business intelligence and analytics is critical for managers to have a set of tools for better decision-making on business decisions. This book addresses several dimensions of BI&A in favor of SMEs. This book includes research related to new trends in the SME arena.
Автор: Halawi Leila, Clarke Amal, George Kelly Название: Harnessing the Power of Analytics ISBN: 3030897117 ISBN-13(EAN): 9783030897116 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This text highlights the difference between analytics and data science, using predictive analytic techniques to analyze different historical data, including aviation data and concrete data, interpreting the predictive models, and highlighting the steps to deploy the models and the steps ahead.
Wenn in Datenbergen wertvolle Geheimnisse schlummern, aus denen Profit erzielt werden soll, dann geht es um Big Data. Doch wie schpft man aus groen Daten echte Werte, wenn man nicht gerade Google ist? Um aus Unternehmens-, Maschinen- oder Sensordaten einen Ertrag zu erzielen, reicht Big Data-Technologie allein nicht aus. Entscheidend sind die bergeordneten Innovations prozesse: die smarte Analyse von Big Data. Erst durch den kompetenten Einsatz der richtigen Werkzeuge und Techniken werden aus Big Data tatschlich Smart Data.
Das Praxishandbuch Smart Data Analytics gibt einen berblick ber die Technologie, die bei der Analyse von groen und heterogenen Datenmengen - inklusive Echtzeitdaten - zum Einsatz kommt. Elf Praxisbeispiele zeigen die konkrete Anwendung in kleinen und mittelstndischen Unternehmen. So erfahren Sie, wie Sie Ihr Smart Data Analytics-Projekt in Ihrem eigenen Unternehmen vorbereiten und umsetzen knnen. Das Buch erlutert neben den organisatorischen Aspekten auch die rechtlichen Rahmenbedingungen. Und es zeigt, wie Sie sowohl den Nutzen bewerten knnen, der aus den Daten gezogen werden soll, als auch den Aufwand, den Sie dafr betreiben mssen. Denn Smart Data steht fr mehr als nur die Untersuchung groer Datenmengen: Smart Data Analytics ist der Schlssel zu einem smarten Umgang mit Ihren Unternehmensdaten und hilft, bislang unentdecktes Potenzial zu entdecken.
Dr. Andreas Wierse
studierte Mathematik und promovierte in den Ingenieurwissenschaften im Bereich Visualisierung, seit 2011 untersttzt er mittelstndische Unternehmen rund um Big und Smart Data Technologie.
Dr. Till Riedel
lehrt als Informatiker am KIT und koordiniert im Smart Data Solution Center Baden-Wrttemberg und Smart Data Innovation Lab Forschung und Innovation auf industriellen Datenschtzen.
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