Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
ATZ-Fachkongress

Chassis.tech plus 2024


4 Kongresse in einer Veranstaltung

Treffen Sie in München die Fachleute von Chassis, Lenkung, Bremsen sowie Reifen/Räder.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
The Uncertain Enterprise: Achieving Adaptation Through Digital Twins and Machine Learning Extended Abstract Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

Digital Twins of an Organization for Enterprise Modeling

verfasst von : Uwe V. Riss, Heiko Maus, Sabrina Javaid, Christian Jilek

Erschienen in: The Practice of Enterprise Modeling

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Today’s dynamic business environment requires enterprises to be agile in order to remain competitive. Competition also impacts enterprise modeling (EM) aiming at the systematic development of the enterprise’s business processes, organizational structures, and information systems. Although EM is a mature discipline, organizations still do not exploit the full potential of EM. We suggest, the concept of a Digital Twin of an Organization (DTO) provides a means of digitalization to introduce more agility. A DTO draws upon graph-based, machine readable knowledge representation of enterprise models. In order to run through various scenarios in real time, the DTO approach makes use of Context Spaces that provide the required information semantically structured, which improves the comprehensibility and applicability of the used models. The DTO combines EM with operational reality and, thus, increases the agility of the enterprise.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Industrial Digital Environments in Action: The OMiLAB Innovation Corner
Nächstes Kapitel Modeling Products and Services with Enterprise Models
Fußnoten
Literatur
1.
Abecker, A., Bernardi, A., Hinkelmann, K., Kuhn, O., Sintek, M.: Toward a technology for organizational memories. IEEE Intell. Syst. 13(3), 40–48 (1998)CrossRef
2.
Abecker, A., Bernardi, A., Maus, H., Sintek, M., Wenzel, C.: Information supply for business processes: coupling workflow with document analysis and information retrieval. Knowl. Based Syst. 13(5), 271–284 (2000)CrossRef
3.
Augustine, P.: The industry use cases for the digital twin idea. In: Advances in Computers, pp. 79–105. Elsevier, Amsterdam (2020)
4.
Batyuk, A., Voityshyn, V., Verhun, V.: Software architecture design of the real- time processes monitoring platform. In: 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP). IEEE, August 2018
5.
Bazaz, S.M., Lohtander, M., Varis, J.: 5-dimensional definition for a manufacturing digital twin. Proc. Manufact. 38, 1705–1712 (2019)CrossRef
6.
7.
8.
Conklin, J.: Dialogue mapping: building shared understanding of wicked problems, chap. Wicked Problems and Social Complexity, pp. 1–25. Wiley, Hoboken (2005)
9.
Davenport, T.H.: Process Innovation: Reengineering Work Through Information Technology. Harvard Business Press, Boston (1993)
10.
11.
Dodge, M., McDerby, M., Turner, M.: In: Geographic Visualization. The power of geographical visualizations, pp. 1–10. John Wiley & Sons Ltd, Hoboken (2008)CrossRef
12.
van Elst, L., Aschoff, F.R., Bernardi, A., Maus, H., Schwarz, S.: Weakly-structured workflows for knowledge-intensive tasks: an experimental evaluation. In: 12th IEEE International Workshops on Enabling Technologies (WET ICE 2003). IEEE (2003)
13.
14.
Fox, M.S., Barbuceanu, M., Gruninger, M.: An organisation ontology for enterprise modelling: preliminary concepts for linking structure and behaviour. In: Proceedings 4th IEEE Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE 1995). IEEE (1995)
15.
Grieves, M.: Digital Twin: Manufacturing Excellence Through Virtual Factory Replication. White paper, Florida Institute of Technology (2014)
16.
17.
Gruber, T.: Toward principles for the design of ontologies used for knowledge sharing. Int. J. Hum.-Comput. Stud. 43(5,6), 907–928 (1995)CrossRef
18.
Hinkelmann, K., Laurenzi, E., Martin, A., Montecchiari, D., Spahic, M., Thönssen, B.: ArchiMEO: A standardized enterprise ontology based on the ArchiMate conceptual model. In: Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development. SCITEPRESS (2020)
19.
Holz, H., Maus, H., Bernardi, A., Rostanin, O.: From lightweight, proactive information delivery to business process-oriented knowledge management. J. Univ. Knowl. Manag. 2, 101–127 (2005)
20.
21.
Jilek, C., Schröder, M., Schwarz, S., Maus, H., Dengel, A.: Context spaces as the cornerstone of a near-transparent and self-reorganizing semantic desktop. In: Gangemi, A., Gentile, A.L., Nuzzolese, A.G., Rudolph, S., Maleshkova, M., Paulheim, H., Pan, J.Z., Alam, M. (eds.) ESWC 2018. LNCS, vol. 11155, pp. 89–94. Springer, Cham (2018). https://​doi.​org/​10.​1007/​978-3-319-98192-5_​17CrossRef
22.
Jilek, C., Schröder, M., Novik, R., Schwarz, S., Maus, H., Dengel, A.: Inflection-tolerant ontology-based named entity recognition for real-time applications. In: Proc. of the 2nd Conf. on Language, Data and Knowledge (LDK-2019). OASIcs, vol. 70, pp. 11:1–11:14. Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2019)
23.
Kaivo-oja, J., Kuusi, O., Knudsen, M.S., Lauraeus, T.: Digital twins approach and future knowledge management challenges: where we shall need system integration, synergy analyses and synergy measurements? In: Uden, L., Ting, I.-H., Corchado, J.M. (eds.) KMO 2019. CCIS, vol. 1027, pp. 271–281. Springer, Cham (2019). https://​doi.​org/​10.​1007/​978-3-030-21451-7_​23CrossRef
24.
Kerremans, M.: Market guide for process mining. Gartner Inc. (2018)
25.
Lampasona, C., Rostanin, O., Maus, H.: Seamless integration of order processing in MS Outlook using smartoffice: an empirical evaluation. In: ACM-IEEE International Symposium on Empirical Software Engineering and Measurement. ACM Press (2012)
26.
27.
Lindsay, A., Downs, D., Lunn, K.: Business processes–attempts to find a definition. Inf. Softw. Technol. 45(15), 1015–1019 (2003)CrossRef
28.
29.
Maus, H., Schwarz, S., Dengel, A.: Weaving personal knowledge spaces into office applications. In: Integration of Practice-Oriented Knowledge Technology: Trends and Prospectives, pp. 71–82. Springer, Berlin (2013)CrossRef
30.
Motahari-Nezhad, H.R., Swenson, K.D.: Adaptive case management: overview and research challenges. In: Business Informatics (CBI), 2013 IEEE 15th Conference on, pp. 264–269, July 2013
31.
Niemi, E.: Enterprise architecture benefits: perceptions from literature and practice. In: Proceeding 7th International Business Information Management Association (IBIMA) Conference on Internet & Information Systems in the Digital Age. IBIMA (2006)
32.
Normann, R., Ramirez, R.: From value chain to value constellation: designing interactive strategy. Harvard Bus. Rev. 71(4), 65 (1993)
33.
Riss, U.V., Grebner, O., Taylor, P.S., Du, Y.: Knowledge work support by semantic task management. Comput. Ind. 61(8), 798–805 (2010)CrossRef
34.
Riss, U.V., Rickayzen, A., Maus, H., van der Aalst, W.M.: Challenges for business process and task management. J. Univ. Knowl. Manag. 2, 77–100 (2005)
35.
36.
Rosen, R., von Wichert, G., Lo, G., Bettenhausen, K.D.: About the importance of autonomy and digital twins for the future of manufacturing. IFAC-PapersOnLine 48(3), 567–572 (2015)CrossRef
37.
Sandkuhl, K., et al.: From expert discipline to common practice: a vision and research agenda for extending the reach of enterprise modeling. Bus. Inf. Syst. Eng. 60(1), 69–80 (2018)CrossRef
38.
Schröder, M., Jilek, C., Hees, J., Dengel, A.: Towards semantically enhanced data understanding. CoRR abs/1806.04952 (2018)
39.
Shafto, M., et al.: Modeling, simulation, information technology & processing roadmap (2012)
40.
Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., Sui, F.: Digital twin-driven product design, manufacturing and service with big data. Int. J. Adv. Manufact. Technol. 94(9–12), 3563–3576 (2017)
41.
Thomas, O., Fellmann, M.: Semantic process modeling – design and implementation of an ontology-based representation of business processes. Bus. Inf. Syst. Eng. 1(6), 438–451 (2009)CrossRef
42.
Uschold, M., King, M., Moralee, S., Zorgios, Y.: The enterprise ontology. Knowl. Eng. Rev. 13(1), 31–89 (1998)CrossRef
43.
Vergidis, K., Turner, C., Tiwari, A.: Business process perspectives: theoretical developments vs. real-world practice. Int. J. Product. Econ. 114(1), 91–104 (2008)CrossRef
Metadaten
Titel
Digital Twins of an Organization for Enterprise Modeling
verfasst von
Uwe V. Riss
Heiko Maus
Sabrina Javaid
Christian Jilek
Copyright-Jahr
2020
Buch
The Practice of Enterprise Modeling

Print ISBN: 978-3-030-63478-0

Electronic ISBN: 978-3-030-63479-7

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-63479-7_3

Premium Partner

    Bildnachweise