A Cloud-Based Approach to Modeling ERP Information Flows Using a Bivariate Pólya–Aeppli Process
Fast-growing technology and the development of IT services give the idea of founding a new application of stochastic processes and their properties. We give a new connection between electronic process management and a stochastic process named the bivariate Pólya–Aeppli counting process. This process is applied as a counting process in the mathematical construction of the given model and it has been introduced as a counting process in electronic process management. In our current study, we assume a company that has two locations in two countries—Bulgaria and Romania. For seamless communication and data sharing, the integrated factories leverage the System Applications and Products in Data Processing (SAP) system. By combining these functions into one structure, we optimize coordination, streamline operations, and improve the company’s productivity and profitability. The automated tools within the system facilitate uninterrupted production and secure supply chains and thus the decision making is improved. A key benefit of these tools is to boost production and procurement activities for success in today’s competitive market which results in cost savings, will increase visibility, and also will improve rapid decision making.
Authors
- Michail D. Todorov (ORCID: https://orcid.org/0000-0002-4019-5880)
- Fatima Sapundzhi (ORCID: https://orcid.org/0000-0002-5533-322X)
- Vesna Dimitrova (ORCID: https://orcid.org/0000-0003-4393-5589)
- Slavi Georgiev (ORCID: https://orcid.org/0000-0001-9826-9603)
- Venelin Todorov (ORCID: https://orcid.org/0000-0001-7134-5901)
- Meglena D. Lazarova (ORCID: https://orcid.org/0009-0001-8723-0014)
Institutions
- South-West University "Neofit Rilski" (BG)
- Bulgarian Academy of Sciences (BG)
- Technical University of Sofia (BG)
- Institute of Mathematics and Informatics (BG)
- Institute of Information and Communication Technologies (BG)
- Angel Kanchev University of Ruse (BG)
- Sofia University "St. Kliment Ohridski" (BG)
Publication Details
- Journal
- Mathematics
- Published
- 2025-05-22
- DOI
- https://doi.org/10.3390/math13111699
- Citations
- 2
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 4.57
Funders
- Bulgarian National Science Fund