Integrating Worker Assistance Systems and Enterprise Resource Planning in Industry 4.0

被引:0
作者
Bruenninghaus, Marc [1 ]
Redeker, Magnus [1 ]
机构
[1] Fraunhofer Inst Optron Syst Technol & Image Explo, IOSB INA Lemgo, Fraunhofer IOSB, Karlsruhe, Germany
来源
2023 IEEE 6TH INTERNATIONAL CONFERENCE ON INDUSTRIAL CYBER-PHYSICAL SYSTEMS, ICPS | 2023年
关键词
Industrial Worker Assistance System; Enterprise Resource Planning; Industry; 4.0; Integration;
D O I
10.1109/ICPS58381.2023.10128096
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Maximizing the quality and quantity of production output requires the optimization of every single process involved in the production - separately on its own and in combination with other involved processes and assets along the line. Worker assistance systems further optimize otherwise automated production systems by minimizing uncertainties of incorporated manual labor. This paper, subsequent to an elaborate use case and requirements analysis, develops a concept to advance these worker assistance systems from more or less isolated applications, that operate independently from other production and resource management platforms, towards an integrated solution using Industry 4.0-compliant Digital Twins of assistance jobs, products, workers and workstations, that document manually executed processes, their parameters, performances and configurations in an interoperable manner. Consequently, worker assistance systems will be established with little effort as a user- and processspecific enterprise resource planning frontend on the shop floor.
引用
收藏
页数:6
相关论文
共 28 条
  • [1] [Anonymous], 2016, Regulation (EU) 2016/679 of the European Parliament and of the Council, The European Parliament and the Council of the European Union
  • [2] [Anonymous], 2016, Reference Architecture Model Industrie 4.0 (RAMI4.0) (cit. on p. 22), DOI 10.31030/2436156
  • [3] [Anonymous], 2016, IND INTERNET THINGS
  • [4] beuth, 2193 VDIVDE
  • [5] Low-Code Development in Worker Assistance Systems: Improving Flexibility and Adaptability
    Bruenninghaus, Marc
    Roecker, Carsten
    [J]. 2022 IEEE 20TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2022, : 366 - 373
  • [6] Exploring Design Opportunities for Intelligent Worker Assistance: A New Approach Using Projetion-Based AR and a Novel Hand-Tracking Algorithm
    Buettner, Sebastian
    Sand, Oliver
    Roecker, Carsten
    [J]. AMBIENT INTELLIGENCE (AMI 2017), 2017, 10217 : 33 - 45
  • [7] Anwendungsszenarien für AR in der Produktion: Use Cases und TechnologielösungenAR Applications in the Industrial Production: Use Cases, Solutions and Technologies
    Sahar Deppe
    Marc Brünninghaus
    Michael Voit
    Carsten Röcker
    [J]. HMD Praxis der Wirtschaftsinformatik, 2022, 59 (1) : 351 - 366
  • [8] Drag&Sense, US
  • [9] A cognitive assistance system with augmented reality for manual repair tasks with high variability based on the digital twin
    Eversberg, Leon
    Ebrahimi, Puya
    Pape, Martin
    Lambrecht, Jens
    [J]. MANUFACTURING LETTERS, 2022, 34 : 49 - 52
  • [10] fhg, XTEND ASSISTANCE SYS