Constructing network enterprise structure to create innovative products

The subject of the study  is the formation of the structure of a network enterprise, considered as a set of interacting enterprises in a networked Internet environment that implements a value chain. To build the structure of the network enterprise, it is proposed to use and support the ontology of the network enterprise, which conceptually reflects the models of products and related production and business processes throughout the life cycle. At the same time, the focus is on the implementation of flexible processes for creating innovative products using intelligent model-oriented technologies.

The purpose of the study  is to build an algorithm for forming the structure of a network enterprise that would ensure the best implementation of the value chain with minimal risks of mismatch of designs and production processes with qualitative value characteristics and requirements for an innovative product. The construction of an algorithm for forming the structure of a network enterprise involves solving the problems of modeling the structure of an innovative product based on an analysis of qualitative value characteristics and requirements for product components, its creation processes, distribution of roles of enterprise participants and analysis of their capabilities.

Methods. As the main research method is the method of constructing a model of “digital thread” of creating an innovative product. The most complete application of this method is carried out as part of the reference model of enterprise architecture for Industrie 4.0 (RAMI). The resulting conceptual model of an innovative product and related production and business processes is implemented using an ontological approach. It is proposed to use a combination of QFD (Quality Function Deployment) methods for deploying the structure of a network enterprise and analyzing the types and consequences of potential FMEA (Failure Mode and Effects Analysis) inconsistencies.

The main results of the study are ontology and the algorithm for forming the structure of the network enterprise. A distinctive feature of the proposed ontology of the network enterprise is a clear separation of the valuable qualitative characteristics of the product and the requirements for its creation, as well as the allocation of the abilities of participants in enterprises to implement the necessary processes. The novelty of the presented algorithm for the formation of the structure of a network enterprise lies in the combined application of the QFD and FMEA methods, as well as in the iteration of modeling the structure of an innovative product from the position of the best implementation of quality value characteristics and functional requirements.

Conclusions, prospects. The proposed algorithm for creating the structure of a network enterprise allows you to get the best decisions on the criterion for assessing the highest rating for the implementation of quality characteristics and requirements for the components of the value chain and its participants, provided that minimal risk assessments of the mismatch between the designs and processes of creating innovative products are obtained. The developed ontology and the algorithm for forming the structure of the network enterprise is of practical importance for creating an intelligent system for supporting the adoption of innovative decisions for the dynamic construction of network enterprises in the Internet environment.

1. Kastel’s M. Formation of a society of network structures. Novaya postindustrial’naya volna na Zapade. Antologiya = New post-industrial wave in the West. Anthology. 1999: S. 494–505.

2. Eden C, Williams T, Ackermann F, Howick S. The role of feedback dynamics in disruption and delay on the nature of disruption and delay (D&D) in major projects // Journal of the Operational Research Society. 2000; 51: 291–300.

3. Pihler R. Agile Product Management with Scrum: Creating Products that Customers Love (Addison-Wesley Signature Series (Cohn)), Addison-Wesley Professional, 2010.

4. Frechette Simon P. “Model Based Enterprise for Manufacturing,” Manufacturing Systems Integration Division, Engineering Laboratory, National Institute of Standards and Technology, March 2010.

5. Global Horizons Final Report: United States Air Force Global Science and Technology Vision – AF/ST TR 13-01, United States Air Force, 2013.

6. Digital Thread for Smart Manufacturing» (2013–2018) [Internet]. Available from: https://www.nist.gov/programs-projects/digital-thread-smart-manufacturing.

7. Reference Architectural Model Industrie 4.0 (RAMI4.0) – An Introduction. [Internet]. Available from: https://www.plattform-i40.de/PI40/Redaktion/EN/Downloads/Publikation/rami40-an-intro-duction.html

8. McIvor R., Humphreys P. Early supplier involvement in the design process: lessons from the electronics industry. Omega. 2004; 32: 179–199.

9. Koufteros X., Vonderembse M., Doll W. Concurrent Engineering and Its Consequences // Journal of Operations Management. 2001; 19: 97–115. DOI: 10.1016/S0272-6963(00)00048-6.

10. Willaert S.A., Stephan S.A., de Graaf Rob., Minderhoud Simon. Collaborative engineering: A case study of Concurrent Engineering in a wider context // Journal of Engineering and Technology Management. 1998; 15: 87–109. DOI: 10.1016/S0923-4748(97)00026-X.

11. Lu SC-Y., Elmaraghy W., Schuh G., Wilhelm R. A scientific foundation of collaborative engineering. Ann CIRP. 2007; 56; 2: 605–633. DOI: 10.1016/j.cirp.2007.10.010

12. Vanhaverbeke W. The inter-organizational context of open innovation. In: Chesbrough H, Vanhaverbeke W, West J (eds) Open innovation: researching a new paradigm. UK: Oxford University Press. 2006.

13. Vashukov YU.A., Dmitriyev A. YA., Mitroshkina T.A. QFD: Razrabotka produktsii i tekhnologicheskikh protsessov na osnove trebovaniy i ozhidaniy potrebiteley: metodicheskiye ukazaniya = QFD: Product and process development based on customer requirements and expectations: guidelines. Samara: Publishing House of the Samara State Aerospace University; 2012. 32 p.

14. Vashukov YU.A., Dmitriyev A.YA., Mitroshkina T.A. Analiz vidov, posledstviy i prichin potentsial’nykh nesootvetstviy (FMEA): Metodicheskiye ukazaniya = Analysis of the types, effects and causes of potential nonconformities (FMEA): Guidelines. Samara: Samara State Aerospace University; 2008. 31 p.

15. Trygg L. Concurrent Engineering practices in selected Swedish companies: a movement or an activity of the few. The Journal of Product Innovation Management. 1993; 10; 5: 403–416.

16. Victor Batovrin, Boris Pozin. Requirements engineering at the modern enterprise // Aktual’nyye problemy sistemnoy i programmnoy inzhenerii. Sbornik trudov 5-y mezhdunarodnoy nauchnoy konferentsii= Actual problems of system and software engineering. Proceedings of the 5th international scientific conference. (November 14–16, 2017). Moscow: HSE Publishing House; 2017: 380–387.

17. The background to Plattform Industrie 4.0 [Internet]. Available from: https://www.plattform-i40.de/PI40/Navigation/EN/ThePlatform/Background/background.html

18. Evans Eric. Domain-Driven Design: Tackling Complexity in the Heart of Software. Addison-Wesley, 2004.

19. Osterwalder A. et al. The Business Model Ontology – a proposition in a design science approach. Thesis PhD. 2004.

20. Uschold M., et al.: The Enterprise Ontology. The Knowledge Engineer Review. 1998; 13; 1: 31–89.

21. Dietz J.L.G. Enterprise Ontology – Theory and Methodology. Springer-Verlag Berlin Heidelberg, 2006.

22. Telnov Yury. Ontology engineering of network companies // Aktual’nyye problemy sistemnoy i programmnoy inzhenerii. Sbornik trudov 5-y mezhdunarodnoy nauchnoy konferentsiyu = Actual problems of system and software engineering. Proceedings of the 5th international scientific conference (November 14–16, 2017). Mosow: HSE Publishing House; 2017: 22–27.

23. FIPA Interaction Protocol Specifications [Электрон. ресурс]. Режим доступа: http://www.fipa.org/repository/ips.php3

24. Kalachikhin P.A., Tel’nov YU.F. The formation of value chains in network structures of interaction based on intelligent technologies. Sb. trudov XVI Natsional’noy nauchnoy konferentsii po iskusstvennomu intellektu s mezhdunarodnym uchastiyem KII 2018 = Sat. Proceedings of the XVI National Scientific Conference on Artificial Intelligence with International Participation KII 2018 (September 24–27, 2018, Moscow, Russia). Conference proceedings. In 2 volumes. T. 1. M: RCP; 2018: 106–115.

25. Tel’nov YU.F., Kazakov V.A. . Ontological modeling of network interactions in the information and educational space. Pyatnadtsataya natsional’naya konferentsiya po iskusstvennomu intellektu s mezhdunarodnym uchastiyem KII-2016 = Fifteenth National Conference on Artificial Intelligence with international participation KII-2016 (October 3–7, 2016, Smolensk, Russia). Conference proceedings. In 3 volumes. T 1. Smolensk: Universum; 2016: 106–115.

26. Noriaki Kano., Seraku Nobuhiku., Takahashi Fumio., Tsuji Shinichi. Attractive quality and mustbe quality // Journal of the Japanese Society for Quality Control (in Japanese). 1984; 14; 2: 39–48.

27. Stefan M. Kugele, Model-Based Development of Software-intensive Automotive Systems, Dissertation, 2012.

28. Kaiya H, Saeki M. Ontology-Based Requirements Analysis: Lightweight Semantic Processing Approach. 2005. P. 223–230. DOI: 10.1109/QSIC.2005.46.

29. Wognum PM, Faber ECC. Infrastructures for collaboration in virtual organisations. Int J Netw Virt Org. 2002. Vol. 1. No. 1. P. 1–23.

30. Wognum N., Trienekens J. The System of Concurrent Engineering. In: J. Stjepandić et al. (eds.), Concurrent Engineering in the 21st Century. Chapter 2. DOI: 10.1007/978-3-319-13776-6_2