Abstract
Virtual simulation can help students and enterprise employees to understand the company systematically and gain insights into the complexity and uncertainty of the enterprise’s digital innovation. The design focus of the virtual simulation teaching platform needs to base on the business and data of the enterprise. Considering authenticity and interest, the simulation rules are designed to adapt to the simulation needs of different business situations of various enterprises in a more flexible way. Therefore, this paper proposes a three-layer framework and implementation Methodology for extracting and configuring simulation rules, which can realize simulations of different business quickly and provide support for teachers in teaching. The implementation methodology of rule configuration serves for the three-layer framework. The paper takes rule configuration of a virtual simulation as a case to illustrate the proposed framework and methodology.
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References
Benbya, H., Nan, N., Tanriverdi, H., Yoo, Y.: Complexity and information systems research in the emerging digital world. MIS Q. 44(1), 1–17 (2020)
Borrajo, F., et al.: SIMBA: a simulator for business education and research. Decis. Support Syst. 48, 498–506 (2010)
Foronda, C.L., Fernandez-Burgos, M., Nadeau, C., Kelley, C.N., Henry, M.N.: Virtual simulation in nursing education: a systematic review spanning 1996 to 2018. Simul. Healthc. 15(1), 46–54 (2020)
Zhang, L.: Design and practice of virtual simulation experiment teaching center for modern enterprise business operation. In: Deng, D. (ed.) ACSS 2015. Advances in Social and Behavioral Sciences, vol. 15, pp. 65–70. Singapore Management and Sports Science Institute, Paris (2015)
Ren, B., Zhang, S.: Knowledge acquisition from simulation data to product configuration rules. Adv. Mater. Res. 308–310, 77–82 (2011). https://doi.org/10.4028/www.scientific.net/AMR.308-310.77
Chen, Z., Wang, L.Y.: Adaptable product configuration system based on neural network. Int. J. Prod. Res. 47, 5037–5066 (2009). https://doi.org/10.1080/00207540802007571
Song, X.: Reusability implementation method of large-scale simulation model architecture. Mod. Navig. 7(2), 131–136 (2016)
Yin, J.L., Li, D.Y., Peng, Y.H.: Knowledge acquisition from metal forming simulation. Int. Adv. Manuf. Technol. 29, 279–286 (2006)
Fornasiero, R., Macchion, L., Vinelli, A.: Supply chain configuration towards customization: a comparison between small and large series production. IFAC-PapersOnLine 48(3), 1428–1433 (2015)
Jahangirian, M., Eldabi, T., Naseer, A., Stergioulas, L.K., Young, T.: Simulation in manufacturing and business: A review. Eur. J. Oper. Res. 203, 1–13 (2010)
Musselwhite, C.: University executive education gets real. Training and Development Magazine 6, 57–59 (2006)
Thompson, J., White, S., Chapman, S.: Virtual patients as a tool for training pre-registration pharmacists and increasing their preparedness to practice: A qualitative study. PLoS One 15(8) (2020). https://doi.org/10.1371/journal.pone.0238226
Sahi, P.K., Mishra, D., Singh, T.: Medical education amid the covid-19 pandemic. Indian Pediatr. 57(7), 652–657 (2020). https://doi.org/10.1007/s13312-020-1894-7
Gareyeva, E.A., Dubinina, E.: The 〈Training Firm〉 as a Way of Implementing a System- and Activity-Based Approach to Teaching in Higher Education Institutions. Tomsk State Univ. 457, 175–186 (2020)
Hamalainen, R.: Designing and evaluating collaboration in a virtual game environment for vocational learning. Comput. Educ. 50(1), 98–109 (2008)
Sauve, L., Renaud, L., Kaufman, D., Marquis, J.S.: Distinguishing between games and simulations: A systematic review. Educ. Technol. Soc. 10(3), 247–256 (2007)
Benaben, F., Li, J., Koura, I., Montreuil, B., Lauras, M., Mu, W., et al.: A tentative framework for risk and opportunity detection in a collaborative environment based on data interpretation. In: Proceedings of the 52nd Hawaii International Conference on System Sciences, pp. 3056–3065. ScholarSpace, Hawaii (2019). http://hdl.handle.net/10125/59742.
Dromey, R.G.: From requirements to design: formalizing the key steps. In: Cerone, A. and Lindsay, P. (eds.) First International Conference on Software Engineering and Formal Methods, Proceedings. pp. 2–11 (2003)
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The presented research works have been supported by “the National Natural Science Foundation of China” (61972029).
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Li, W., Gou, J., He, S., Wang, Z. (2021). Research on Configuration Framework of Simulation Rules Based on Existing Simulation Teaching Platform. In: Camarinha-Matos, L.M., Boucher, X., Afsarmanesh, H. (eds) Smart and Sustainable Collaborative Networks 4.0. PRO-VE 2021. IFIP Advances in Information and Communication Technology, vol 629. Springer, Cham. https://doi.org/10.1007/978-3-030-85969-5_23
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DOI: https://doi.org/10.1007/978-3-030-85969-5_23
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