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Digitalization in the Industry

Digitalization as a mega-trend is characterized by the deployment of digital consumer technologies and the related business models. However, digital services also increasingly complement and determine the range of services of industrial companies. They are thereby fueling the so-called fourth industrial revolution. The emerging mobility services introduced by automobile manufacturers, AppStore offerings for sheet metal forming by machine tool suppliers, and software ecosystems launched by sensor manufacturers are some examples. The “smart service world” changes the mechanics of industrial companies' business models, and the established industry boundaries no longer apply. As traditional services prove to be no longer competitive, completely new ranges of services are emerging. The individualization of services as a consequence thereof leads to a dramatically increasing complexity of service provision. With more than 1,205 configuration possibilities for modern mid-range cars, customers expect “batch size 1” at the same costs as mass production.

Industry 4.0 can be considered the future organizational principle of industrial companies. It is characterized by networks of people and machines within the factories and increasing integration across companies, but also implies the usage of all available data and more autonomous value creation systems. For example, in small batch production, the product independently finds its way through production, thus production schedules and sequencing becomes less important.

Possible Topics

  • Business models within the smart service world and for Industry 4.0
  • Methods for business process and digital service design in industrial companies
  • Reference models for Industry 4.0
  • Information architectures and information models (including digital twin approach) for Industry 4.0
  • Innovative technologies and their application (iBeacon, blockchain, augmented reality,etc.)
  • Application scenarios for the Internet of Things and Industry 4.0
  • Case studies
  • Data processing, analysis, and visualization, as well as data management for Industry 4.0
  • Analytical methods, decision-making and planning systems for production and logistics
  • Domain-specific approaches, e.g. in mechanical engineering, automobile manufacturing, logistics, or process industries
  • Standardization needs and interoperability of data, applications, and processes
  • Semantic technologies for industrial companies
  • Industrial data platforms
  • Industrial Internet
  • Capabilities for Industry 4.0 including skills and human factors
  • Additive production (3D printing, etc.)

Track Chairs

Prof. Dr. Christine Legner
HEC Lausanne – The Faculty of Business and Economics of the University of Lausanne
Boris Otto
Fraunhofer-Institut für Materialfluss und Logistik, TU Dortmund

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Associate Editors

Jörn Altmann, Seoul National University, Seoul, Korea
Sören Auer, Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
Thomas Berlage, Fraunhofer-Institut für Angewandte Informationstechnik FIT
Liane Haak, Hochschule Osnabrück, Fak. MKT, Institut für Management und Technik
Bernd Hellingrath, Westfälische Wilhelms-Universität Münster
Jorge Marx Gómez, Universität Oldenburg
Lars Mönch, Fern-Universität Hagen
Markus Rabe, TU Dortmund
Rainer Schmidt, Hochschule München
Steffen Strassburger, TU Ilmenau
Anette Weisbecker, Fraunhofer IAO
Sue Williams, Universität Koblenz-Landau
Axel Winkelmann, Universität Würzburg

Track 1 - Session 1

Digitalisierung in der Industrie / Digitalization in the Industry

14.02.2017, 15:30-17:00, Raum: 01-102

Session Chair: Axel Winkelmann

Sonja Dreyer; Daniel Olivotti; Benedikt Lebek; Michael H. Breitner: Towards a Smart Services Enabling Information Architecture for Installed Base Management in Manufacturing.

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Nadine Rückeshäuser: Do We Really Want Blockchain-Based Accounting? Decentralized Consensus as Enabler of Management Override of Internal Controls *Best Paper Nominee*

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Thomas Schäffer; Dirk Stelzer: Assessing Tools for Coordinating Quality of Master Data in Inter-organizational Product Information Sharing

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Track 1 - Session 2

15.02.2017, 11:00-12:30, Raum: 01-102

Session Chair: Christine Legner

Christian Janiesch; Valentin Nentwich: Autonomie im Internet der Dinge: Anforderungen an die Gestaltung autonomer Agenten in Cyber-physischen Systemen

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Loina Prifti; Marlene Knigge; Harald Kienegger; Helmut Krcmar: A Competency Model for "Industrie 4.0" Employees

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