Open Access
Issue |
SHS Web Conf.
Volume 83, 2020
Current Problems of the Corporate Sector 2020
|
|
---|---|---|
Article Number | 01066 | |
Number of page(s) | 10 | |
Section | Economics, Management and Finance | |
DOI | https://doi.org/10.1051/shsconf/20208301066 | |
Published online | 30 October 2020 |
- K. Al Badi, Discrete event simulation and pharmacy process re-engineering. International Journal of Health Care Quality 32, (2) 398-411 (2019) [CrossRef] [Google Scholar]
- P. Goodall, R. Sharpe, A. West, A data-drive simulation support remanufacturing operations. Computers in Industry, 105, 48-60 (2019) [CrossRef] [Google Scholar]
- H. Gucdemir, S. Hasan, Integrating simulation modelling and multi criteria decision making for customer focused scheduling in job shops. Simulation Modelling Practice and Theory 88, 17-31 (2018) [CrossRef] [Google Scholar]
- M. Havey, Essential Business Process Modelling, O’Reilly Media, Inc., Sebastopol, CA (2005) [Google Scholar]
- H. Kazakova, I. Zayarky, M. Medvedev, Forecasting of financial flows in business systems taking into account the risk and uncertainty of interaction. International Conference on Numerical Analysis and Applied mathematics (ICNAAM-2018), Rhodes, Greece, AIP Conference proceedings, 2116, Article No. 430021 (2019) [Google Scholar]
- S. B. Merriam, Qualitative Research and Case Study Applications in Education: Revised and Expanded from Case Study Research in Education. 2nd edition, San Francisco, CA: Jossey-Bass (2007) [Google Scholar]
- Osterwalder, A.; Pigneur, Y. Business Model Generation. Wiley & Sons, Hoboken, New Jersey (2010) [Google Scholar]
- J. L. Pereira, A. P. Freitas, Towards a characterization of BMP tools ´simulation support: the case of BPMN process models. International Journal for Quality Research 13, (4) 783-796 (2019) [CrossRef] [Google Scholar]
- V. Schindlerová, I. Šajdlerová, Use of dynamic Simulation to Reduce Handling Complexity in the Manufacturing Process. Advances in Science and Technology Research Journal 14, 1 81-88 (2020) [CrossRef] [Google Scholar]
- S. A. Silva, P.H.C. de Abreu, F. R. De Amorim, Application of Monte Carlo simulation for analysis of costs and economics risks in a banking agency. IEEE Latin America Transactions 17, (3) 409-417 (2019) [CrossRef] [Google Scholar]
- B. Silver, BPMN Method and Style, 2nd Edition, with BPMN Implementer’s Guide. Aptos, CA, USA: Cody-Cassidy Press, 2009. [Google Scholar]
- R. Y. Rubinstein, D. P. Kroese, Simulation and the Monte Carlo Method, 2nd Edition, Wiley-Interscience (2007) [CrossRef] [Google Scholar]
- M. Špaček, Pravděpodobnostní přístupy k analýze rizik investičních projektů a jejich využití v praxi. NAVA - Nakladatelská a vydavatelská agentura, Plzeň (2015) [Google Scholar]
- D. Tbaishat, Process architecture development using Riva and ARIS: comparative study, Business Process Management Journal 24, (3) 837-858 (2018) [CrossRef] [Google Scholar]
- R. K. Yin, Case Study Research: Design and Methods. SAGE Publications, Inc; 5th edition (2014) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.