Data Analysis Model of High Self-Organization Processes

Author:

Klochkov Yury,Glushkov Sergey,Solovyeva Ekaterina,Aytasova Aliya

Abstract

The article is devoted to the development of quality management systems in terms of the growth of process self-organization. Formulas for calculating the share and level of self-organization of processes are given based on the transaction expenses, compliance, and non-compliance costs. Forms of maps and schemes for monitoring processes of quality management systems with a high degree of self-organization are proposed.

Publisher

EDP Sciences

Reference10 articles.

1. Klochkov Y., Gazizulina A., Golovin N., Glushkova A., & Selezneva Z. (2017). Information model-based forecasting of technological process state. Paper presented at the 2017 International Conference on Infocom Technologies and Unmanned Systems: Trends and Future Directions, ICTUS 2017, 2018-January 709–712. doi:10.1109/ICTUS.2017.8286099

2. Antipov D. V., Akhmetzhanova G. V., Antipova O. I., Gazizulina A. U., & Sharov R. (2017). Organizational models of teal organizations. Paper presented at the 2017 6th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2017, 2018-January 222–230. doi:10.1109/ICRITO.2017.8342428

3. Self-Organization Features of Tetraphenylporphyrins according to Quantum Chemical Calculations

4. Gazizulina A. Y., Krasulina O. Y., Borremans A. D., Tveryakov A. M., Ostapenko M. S., & Vasilyeva S. E. (2017). Reducing the risk of staff failures. Paper presented at the Proceedings of 2017 IEEE 6th Forum Strategic Partnership of Universities and Enterprises of Hi-Tech Branches (Science. Education. Innovations), SPUE 2017, 2018 January 199–202. doi:10.1109/IVForum.2017.8246091

5. Kalinina O., Kapustina I., Barykin S., Balchik E., & Sedyakina A. (2019). Development of a combined approach of innovative and traditional scenarios of the company’s strategy. Paper presented at the Proceedings of the 33rd International Business Information Management Association Conference, IBIMA 2019: Education Excellence and Innovation Management through Vision 2020, 9410-9419.

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