Context-Aware Decision Information Packages: An Approach to Human-Centric Smart Factories

  • Eva HoosEmail author
  • Pascal Hirmer
  • Bernhard Mitschang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10509)


Industry 4.0 enables the integration of new trends, such as data-intensive cyber physical systems, Internet of Things, or mobile applications, into production environments. Although it concentrates on highly data-intensive automated engineering and manufacturing processing, the human actor is still important for decision making in the product lifecycle process. To support correct and efficient decision making, human actors have to be provided with relevant data depending on the current context. This data needs to be retrieved from distributed sources like bill of material systems, product data management and manufacturing execution systems, holding product model and factory model. In this paper, we address this issue by introducing the concept of decision information packages, which enable to compose relevant engineering data for a specific context from distributed data sources. To determine relevant data, we specify a context-aware engineering data model and corresponding operators. To realize our approach, we provide an architecture and a prototypical implementation based on requirements of a real case scenario.


Industry 4.0 Context-awareness Data provisioning Smart factory 


  1. 1.
    Barbosa, A.C.P., Porto, F.A.A., Melo, R.N.: Configurable data integration middleware system. J. Braz. Comput. Soc. 8, 12–19 (2002)CrossRefGoogle Scholar
  2. 2.
    Barkat, O., Bellatreche, L.: Linking context to ontologies. In: 2015 11th International Conference on Semantics, Knowledge and Grids (SKG) (2015)Google Scholar
  3. 3.
    Binz, T., Breitenbücher, U., Haupt, F., Kopp, O., Leymann, F., Nowak, A., Wagner, S.: OpenTOSCA – a runtime for TOSCA-based cloud applications. In: Basu, S., Pautasso, C., Zhang, L., Fu, X. (eds.) ICSOC 2013. LNCS, vol. 8274, pp. 692–695. Springer, Heidelberg (2013). doi: 10.1007/978-3-642-45005-1_62 CrossRefGoogle Scholar
  4. 4.
    Bobillo, F., Delgado, M., Gómez-Romero, J.: Representation of context-dependant knowledge in ontologies: a model and an application. Expert Syst. Appl. 35, 1899–1908 (2008)CrossRefGoogle Scholar
  5. 5.
    Bolchini, C., Curino, C., Schreiber, F.A., Tanca, L.: Context integration for mobile data tailoring. In: 7th International Conference on Mobile Data Management (MDM 2006) (2006)Google Scholar
  6. 6.
    Bolchini, C., Quintarelli, E., Schreiber, F.A., Baldassarre, M.T.: Context-aware knowledge querying in a networked enterprise. In: Anastasi, G., Bellini, E., Nitto, E., Ghezzi, C., Tanca, L., Zimeo, E. (eds.) Methodologies and Technologies for Networked Enterprises. LNCS, vol. 7200, pp. 237–258. Springer, Heidelberg (2012). doi: 10.1007/978-3-642-31739-2_12 CrossRefGoogle Scholar
  7. 7.
    Grant, A., Antonioletti, M., Hume, A.C., et al.: OGSA-DAI: middleware for data integration: selected applications. In: 2008 IEEE Fourth International Conference on eScience, eScience 2008 (2008)Google Scholar
  8. 8.
    Gröger, C., Kassner, L., Hoos, E., Königsberger, J., Kiefer, C., Silcher, S., Mitschang, B.: The data-driven factory - leveraging big industrial data for agile, learning and human-centric manufacturing. In: ICEIS 2016 (2016)Google Scholar
  9. 9.
    Hegge, H., Wortmann, J.C.: Generic bill-of-material: a new product model. Int. J. Prod. Econ. 23, 117–128 (1991)CrossRefGoogle Scholar
  10. 10.
    Hirmer, P., Wieland, M., Breitenbücher, U., Mitschang, B.: Automated sensor registration, binding and sensor data provisioning. In: Proceedings of the CAiSE 2016 Forum (2016)Google Scholar
  11. 11.
    Hirmer, P., Wieland, M., Schwarz, H., Mitschang, B., Breitenbücher, U., Sáez, S.G., Leymann, F.: Situation recognition and handling based on executing situation templates and situation-aware workflows. Computing 99, 163–181 (2016)MathSciNetCrossRefGoogle Scholar
  12. 12.
    Hoos, E., Hirmer, P., Mitschang, B.: Improving problem resolving on the shop floor by context-aware decision information packages. In: Proceedings of the CAiSE 2017 Forum (2017)Google Scholar
  13. 13.
    Hoos, E., Wieland, M., Mitschang, B.: Analysis method for conceptual context modeling applied in production environments. In: Abramowicz, W. (ed.) BIS 2017. LNBIP, vol. 288, pp. 313–325. Springer, Cham (2017). doi: 10.1007/978-3-319-59336-4_22
  14. 14.
    Jazdi, N.: Cyber physical systems in the context of Industry 4.0. In: 2014 IEEE International Conference on Automation, Quality and Testing, Robotics (2014)Google Scholar
  15. 15.
    Katzenbach, A.: Automotive. In: Stjepandić, J., Wognum, N., Verhagen W.J.C. (eds.) Concurrent Engineering in the 21st Century, pp. 607–638. Springer, Cham (2015). doi: 10.1007/978-3-319-13776-6_21
  16. 16.
    Langegger, A., Wöß, W., Blöchl, M.: A semantic web middleware for virtual data integration on the web. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 493–507. Springer, Heidelberg (2008). doi: 10.1007/978-3-540-68234-9_37 CrossRefGoogle Scholar
  17. 17.
    Martinenghi, D., Torlone, R.: Querying context-aware databases. In: Andreasen, T., Yager, R.R., Bulskov, H., Christiansen, H., Larsen, H.L. (eds.) FQAS 2009. LNCS (LNAI), vol. 5822, pp. 76–87. Springer, Heidelberg (2009). doi: 10.1007/978-3-642-04957-6_7 CrossRefGoogle Scholar
  18. 18.
    Noy, N.F.: Semantic integration. ACM. SIGMOD Rec. 33, 65–70 (2004)CrossRefGoogle Scholar
  19. 19.
    OASIS: Topology and orchestration specification for cloud applicationsGoogle Scholar
  20. 20.
    Roussos, Y., Stavrakas, Y., Pavlaki, V.: Towards a context-aware relational model. In: International Workshop on Context Representation and Reasoning (2005)Google Scholar
  21. 21.
    Sheth, A.P., Larson, J.A.: Federated database systems for managing distributed, heterogeneous, and autonomous databases. ACM Comput. Surv. 22, 183–236 (1990)CrossRefGoogle Scholar
  22. 22.
    Stark, J.: Product lifecycle management. In: Product Lifecycle Management (Volume 2). Decision Engineering, pp. 1–35. Springer, Cham (2015). doi: 10.1007/978-3-319-24436-5_1
  23. 23.
    Stark, R., Hayka, H., Israel, J.H., Kim, M., Müller, P., Völlinger, U.: Virtuelle Produktentstehung in der Automobilindustrie. Informatik-Spektrum (2011)Google Scholar
  24. 24.
    Stavrakas, Y., Gergatsoulis, M.: Multidimensional semistructured data: representing context-dependent information on the web. In: Pidduck, A.B., Ozsu, M.T., Mylopoulos, J., Woo, C.C. (eds.) CAiSE 2002. LNCS, vol. 2348, pp. 183–199. Springer, Heidelberg (2002). doi: 10.1007/3-540-47961-9_15 CrossRefGoogle Scholar
  25. 25.
    Stavrakas, Y., Pristouris, K., Efandis, A., Sellis, T.: Implementing a query language for context-dependent semistructured data. In: Benczúr, A., Demetrovics, J., Gottlob, G. (eds.) ADBIS 2004. LNCS, vol. 3255, pp. 173–188. Springer, Heidelberg (2004). doi: 10.1007/978-3-540-30204-9_12 CrossRefGoogle Scholar
  26. 26.
    Trippner, D., Rude, S., Schreiber, A.: Challenges to digital product and process development systems at BMW. In: Stjepandić J., Wognum N., Verhagen W.J.C. (eds.) Concurrent Engineering in the 21st Century. Springer, Cham, pp. 555–569 (2015). doi: 10.1007/978-3-319-13776-6_19
  27. 27.
    Vermesan, O., Friess, P.: Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems. River Publishers, Alsbjergvej (2013)Google Scholar
  28. 28.
    Wauer, M., Meinecke, J., Schuster, D., Konzag, A., Aleksy, M., Riedel, T.: Semantic federation of product information from structured and unstructured sources. In: Web-Based Multimedia Advancements in Data Communications and Networking Technologies. IGI Global (2013)Google Scholar
  29. 29.
    Wieland, M., Schwarz, H., Breitenbücher, U., Leymann, F.: Towards Situation-Aware Adaptive Workflows. In: PerCom (2015)Google Scholar
  30. 30.
    Zuehlke, D.: SmartFactory-towards a factory-of-things. Annu. Rev. Control 34, 129–138 (2010)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Daimler AGBöblingenGermany
  2. 2.Institute of Parallel and Distributed SystemsUniversity of StuttgartStuttgartGermany
  3. 3.Graduate School of Excellence Advanced Manufacturing EngineeringUniversity of StuttgartStuttgartGermany

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