title: Cloud-Based Automated Design and Additive Manufacturing: A Usage Data-Enabled Paradigm Shift.
abstract: Integration of sensors into various kinds of products and machines provides access to in-depth usage information as basis for product optimization. Presently, this large potential for more user-friendly and efficient products is not being realized because (a) sensor integration and thus usage information is not available on a large scale and (b) product optimization requires considerable efforts in terms of manpower and adaptation of production equipment. However, with the advent of cloud-based services and highly flexible additive manufacturing techniques, these obstacles are currently crumbling away at rapid pace. The present study explores the state of the art in gathering and evaluating product usage and life cycle data, additive manufacturing and sensor integration, automated design and cloud-based services in manufacturing. By joining and extrapolating development trends in these areas, it delimits the foundations of a manufacturing concept that will allow continuous and economically viable product optimization on a general, user group or individual user level. This projection is checked against three different application scenarios, each of which stresses different aspects of the underlying holistic concept. The following discussion identifies critical issues and research needs by adopting the relevant stakeholder perspectives.
authors.affiliation: ISIS Sensorial Materials Scientific Centre, University of Bremen, Bibliothekstraße 1, 28359 Bremen, Germany. dirk.lehmhus@uni-bremen.de.
authors.forename: Dirk
authors.initials: D
authors.lastname: Lehmhus
authors.affiliation: Industrial and Management Systems Engineering Department, Benjamin M. Statler College of Engineering and Mineral Resources, West Virginia University, 333-A Mineral Resource BLDG, Morgantown, WV 26506, USA. thwuest@mail.wvu.edu.
authors.forename: Thorsten
authors.initials: T
authors.lastname: Wuest
authors.affiliation: BIBA-Bremer Institut für Produktion und Logistik GmbH, Hochschulring 20, Bremen 28359, Germany. wel@biba.uni-bremen.de.
authors.forename: Stefan
authors.initials: S
authors.lastname: Wellsandt
authors.affiliation: ISIS Sensorial Materials Scientific Centre, University of Bremen, Bibliothekstraße 1, 28359 Bremen, Germany. sbosse@uni-bremen.de.|Faculty of Mathematics &amp; Computer Science, University of Bremen, Robert Hooke Str. 5, 28359 Bremen, Germany. sbosse@uni-bremen.de.
authors.forename: Stefan
authors.initials: S
authors.lastname: Bosse
authors.affiliation: Kobe University, Graduate School of Systems Informatics, Department of Systems Sciences, 1-1 Rokkodai, Nada, Kobe 657-8501, Japan. kaihara@kobe-u.ac.jp.
authors.forename: Toshiya
authors.initials: T
authors.lastname: Kaihara
authors.affiliation: BIBA-Bremer Institut für Produktion und Logistik GmbH, Hochschulring 20, Bremen 28359, Germany. tho@biba.uni-bremen.de.|Faculty of Production Engineering, University of Bremen, Badgasteiner Straße 1, 28359 Bremen, Germany. tho@biba.uni-bremen.de.
authors.forename: Klaus-Dieter
authors.initials: KD
authors.lastname: Thoben
authors.affiliation: Fraunhofer Institute for Manufacturing Technology and Advanced Materials, Wiener Straße 12, 28359 Bremen, Germany. matthias.busse@ifam.fraunhofer.de.
authors.forename: Matthias
authors.initials: M
authors.lastname: Busse
keywords: PEID; PLM; additive manufacturing; automated design; cloud-based manufacturing; engineering design; product customization; product design; product development; sensor integration