Nicht aus der Schweiz? Besuchen Sie lehmanns.de

Digital Factory for Human-oriented Production Systems (eBook)

The Integration of International Research Projects
eBook Download: PDF
2011 | 2011
XVI, 309 Seiten
Springer London (Verlag)
978-1-84996-172-1 (ISBN)

Lese- und Medienproben

Digital Factory for Human-oriented Production Systems -
Systemvoraussetzungen
149,79 inkl. MwSt
(CHF 146,30)
Der eBook-Verkauf erfolgt durch die Lehmanns Media GmbH (Berlin) zum Preis in Euro inkl. MwSt.
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

Digital factory is a comprehensive approach providing methodologies, models and tools that support manufacturing enterprises in the rearrangement of their organizational structures to deal with expected changes in manufacturing processes and markets.

Digital Factory for Human-oriented Production Systems investigates the impact of the digital factory through a consideration of the entire product/process lifecycle, and the broad network of product engineering, material and component suppliers, manufacturing equipment suppliers, and customers involved in current and next generation manufacturing. It covers the utilization and integration of:

  • human body ergonomics models;
  • production system discrete event simulation;
  • 3D/virtual and augmented reality visualization;
  • collaborative design tools;
  • automatic data capture; and
  • knowledge management systems based on semantic web ontologies integrated by a continuous data management.

The coverage of various types of factory and manufacturing phases, representations and simulations allows researchers in academia and industry to perform a dynamic analysis and up-to-date modeling of the processes involved. Digital Factory for Human-oriented Production Systems describes the tools that allow a move towards the integrated digital factory and underlines the business impact that companies can obtain by adopting these tools. As well as benefiting international organizations, the proposed methodologies and technologies have also been developed in order to facilitate their adoption by small or medium-sized businesses, making them relevant to all product engineers and managers who want improve the efficiency and effectiveness of their enterprises.



Dr Luca Canetta is a researcher and lecturer at the Scuola Universitaria Professionale, Svizzera Italiana (SUPSI), in the Department of Innovative Technology, ICMSI. He holds a Laurea in Industrial Engineering from the University of Bergamo (1999) and a PhD in Demand Modelling and Operations Management from the Swiss Federal Institute of Technology at Lausanne (EPFL) (2009). At SUPSI it is responsible of various courses in Operations Managements taught at the Precision Manufacturing Master of Science, the Industrial Engineering Bachelor of Science and various Master of Advanced Studies (Industrial Engineering and Operations; Sustainable Pharmaceutical Operations and Engineering; Reliability Maintenance and Safety in collaboration with Politecnico of Torino). He was invited lecturer for various master of science courses and postgraduate courses (Master of Science in Business Information Systems at the HEC Lausanne, Executive Master Program in Management of Logistical Systems (IML) at the EPFL, Executive MBA in Management of Technology at the EPFL).  His main research interests are production system robustness, customer behaviour analysis, modelling of market demand scenarios and sustainable mass customisation. He is the author of many journal and conference articles.

Since 2002, Dr Claudia Redaelli has worked for ITIA-CNR, Institute of Industrial Technology and Automation, National Research Council of Italy as dissemination and communication manager and human factors specialist. She holds a university degree in Foreign Languages and Literature with a specialization in Cross-Cultural Psychology, a Master's in Information Science for those who graduated in liberal arts. As dissemination manager in different European and IMS projects, she develops the dissemination strategies and plans the communication both inside the consortium and for a more general audience with help from institutional websites, events and public presentations of the project results. For some years she studied the impact of virtual reality applications, evaluating their relevance in the industrial context especially focusing on Presence and cognition. Similar approaches have been applied, in collaboration with a research group at the Statale di Milano University at the pre-clinic science department 'LITA di Vialba', for understanding patient reactions to innovative rehabilitation techniques and devices. Now she is actively collaborating in different research projects linking psychological approaches with technologies. She is the author of many published articles presented at international conferences.

Dr Myrna Flores obtained her Mechanical Engineering degree in 1996 and her Master's in Science in Manufacturing Systems in 1999; both from the Instituto Tecnólogico y de Estudios Superiores de Monterrey in Mexico. She attended a four-month postgraduate course on Technologies and Sustainable Development at the Indian Institute of Technology in Madras, India, in 2005. She finished her PhD studies in Management and Industrial Engineering at the Politecnico di Milano in May 2006. Currently she works as a researcher at the CEMEX Global Center for Technology and Innovation in Switzerland, where she leads the Business Process Research & Networking area under Processes and IT, managing a portfolio of research projects in business process management, collaborative networks, knowledge management, sustainable innovation and end-to-end solutions. Previously she worked for six years at the CIM Institute for Sustainable Innovation (ICIMSI) in Switzerland where she collaborated on several international projects funded by the Swiss Innovation Promotion Agency (CTI) and Intelligent Manufacturing Systems. She also worked for General Electric (1999 - 2001) as an R&D engineer in the Corporate Research and Development Centre developing and managing six sigma green belt projects to optimize manufacturing and logistics operations in global supply chains, developing discrete event simulation models in the Manufacturing Global Solutions Research Team. In General Electric she also led a one year project to implement e-business solutions in more than 2000 suppliers in the USA, leading a team of 20 people. She is the author of more than 30 published articles presented at international conferences.


Digital factory is a comprehensive approach providing methodologies, models and tools that support manufacturing enterprises in the rearrangement of their organizational structures to deal with expected changes in manufacturing processes and markets.Digital Factory for Human-oriented Production Systems investigates the impact of the digital factory through a consideration of the entire product/process lifecycle, and the broad network of product engineering, material and component suppliers, manufacturing equipment suppliers, and customers involved in current and next generation manufacturing. It covers the utilization and integration of:human body ergonomics models;production system discrete event simulation;3D/virtual and augmented reality visualization;collaborative design tools;automatic data capture; andknowledge management systems based on semantic web ontologies integrated by a continuous data management.The coverage of various types of factory and manufacturing phases, representations and simulations allows researchers in academia and industry to perform a dynamic analysis and up-to-date modeling of the processes involved. Digital Factory for Human-oriented Production Systems describes the tools that allow a move towards the integrated digital factory and underlines the business impact that companies can obtain by adopting these tools. As well as benefiting international organizations, the proposed methodologies and technologies have also been developed in order to facilitate their adoption by small or medium-sized businesses, making them relevant to all product engineers and managers who want improve the efficiency and effectiveness of their enterprises.

Dr Luca Canetta is a researcher and lecturer at the Scuola Universitaria Professionale, Svizzera Italiana (SUPSI), in the Department of Innovative Technology, ICMSI. He holds a Laurea in Industrial Engineering from the University of Bergamo (1999) and a PhD in Demand Modelling and Operations Management from the Swiss Federal Institute of Technology at Lausanne (EPFL) (2009). At SUPSI it is responsible of various courses in Operations Managements taught at the Precision Manufacturing Master of Science, the Industrial Engineering Bachelor of Science and various Master of Advanced Studies (Industrial Engineering and Operations; Sustainable Pharmaceutical Operations and Engineering; Reliability Maintenance and Safety in collaboration with Politecnico of Torino). He was invited lecturer for various master of science courses and postgraduate courses (Master of Science in Business Information Systems at the HEC Lausanne, Executive Master Program in Management of Logistical Systems (IML) at the EPFL, Executive MBA in Management of Technology at the EPFL).  His main research interests are production system robustness, customer behaviour analysis, modelling of market demand scenarios and sustainable mass customisation. He is the author of many journal and conference articles.Since 2002, Dr Claudia Redaelli has worked for ITIA-CNR, Institute of Industrial Technology and Automation, National Research Council of Italy as dissemination and communication manager and human factors specialist. She holds a university degree in Foreign Languages and Literature with a specialization in Cross-Cultural Psychology, a Master’s in Information Science for those who graduated in liberal arts. As dissemination manager in different European and IMS projects, she develops the dissemination strategies and plans the communication both inside the consortium and for a more general audience with help from institutional websites, events and public presentations of the project results. For some years she studied the impact of virtual reality applications, evaluating their relevance in the industrial context especially focusing on Presence and cognition. Similar approaches have been applied, in collaboration with a research group at the Statale di Milano University at the pre-clinic science department “LITA di Vialba”, for understanding patient reactions to innovative rehabilitation techniques and devices. Now she is actively collaborating in different research projects linking psychological approaches with technologies. She is the author of many published articles presented at international conferences.Dr Myrna Flores obtained her Mechanical Engineering degree in 1996 and her Master’s in Science in Manufacturing Systems in 1999; both from the Instituto Tecnólogico y de Estudios Superiores de Monterrey in Mexico. She attended a four-month postgraduate course on Technologies and Sustainable Development at the Indian Institute of Technology in Madras, India, in 2005. She finished her PhD studies in Management and Industrial Engineering at the Politecnico di Milano in May 2006. Currently she works as a researcher at the CEMEX Global Center for Technology and Innovation in Switzerland, where she leads the Business Process Research & Networking area under Processes and IT, managing a portfolio of research projects in business process management, collaborative networks, knowledge management, sustainable innovation and end-to-end solutions. Previously she worked for six years at the CIM Institute for Sustainable Innovation (ICIMSI) in Switzerland where she collaborated on several international projects funded by the Swiss Innovation Promotion Agency (CTI) and Intelligent Manufacturing Systems. She also worked for General Electric (1999 – 2001) as an R&D engineer in the Corporate Research and Development Centre developing and managing six sigma green belt projects to optimize manufacturing and logistics operations in global supply chains, developing discrete event simulation models in the Manufacturing Global Solutions Research Team. In General Electric she also led a one year project to implement e-business solutions in more than 2000 suppliers in the USA, leading a team of 20 people. She is the author of more than 30 published articles presented at international conferences.

1. Flow for Presence Questionnaire.- 2. Ergonomics Methods and the Digital Factory.- 3. A Web-based Platform for Collaborative Product Design, Review and Evaluation.- 4. Integration Framework and PPR+H Hub for DiFac.- 5. RFID-ERP Key Data Integration Challenges.- 6. A versatile ERP-RFID Interfacing Scheme.- 7. Business Process Management (BPM) and Web 2.0 as Key Enablers for the Future Knowledge Based Digital Factory.- 8. Real-time Collaborative Information Management in Enterprises.- 9. The Intelligent Web.- 10. Human Body Modeling.- 11. Flexible Integration of VR-based Tools and Simulation Applications for the Planning and Optimization of Factories and Manufacturing Processes.- 12. GIOVE Virtual Factory: A New Viewer for a More Immersive Role of the User During Factory Design.- 13. Augmented Reality for Remote Maintenance.- 14. Discrete Event Simulation of Production System with Web-based Support.

Erscheint lt. Verlag 10.7.2011
Zusatzinfo XVI, 309 p.
Verlagsort London
Sprache englisch
Themenwelt Technik Maschinenbau
Wirtschaft Betriebswirtschaft / Management Logistik / Produktion
Schlagworte CP7113 • Decision-Making • Digital Factory • Engineering Economics • Human Factors • Simulation and Production Planning • Virtual Reality
ISBN-10 1-84996-172-7 / 1849961727
ISBN-13 978-1-84996-172-1 / 9781849961721
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 10,1 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Zusätzliches Feature: Online Lesen
Dieses eBook können Sie zusätzlich zum Download auch online im Webbrowser lesen.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Manufacturing Excellence in der Smart Factory

von Jürgen Kletti; Jürgen Rieger

eBook Download (2023)
Springer Vieweg (Verlag)
CHF 68,35