| Form of studies |
Master |
| Title of the study programm |
Logistics and Supply Chain Management |
| Title in original language |
Uz RFID un lielo datu analīzi balstīts ar mākslīgo intelektu darbināms krājumu vadības satvars |
| Title in English |
Artificial Intelligence Powered Inventory Management Framework Based on RFID and Big Data Analysis |
| Department |
Faculty Of Computer Science Information Tehnology And Energy |
| Scientific advisor |
Andrejs Romānovs |
| Reviewer |
Oksana Kuzņecova |
| Abstract |
Keywords: Artificial Intelligence, Inventory Management, RFID, Big Data, Hospital
The master thesis performs the Artificial Intelligence-powered Inventory management framework based on RFID and big data analysis to develop and solve one of the problems of inventory management in hospitals. The thesis contains structured information regarding the components, architecture, different analyses, and research about its components like Inventory Management, RFID, and Big Data Analysis. The master thesis creates a comprehensive economic analysis to estimate the benefits of an RFID framework system to solve the problem. An external variable which might be influenced the medications’ demand in the hospitals would be analysed with the respect to collect data which are coming from weather data in London and medium American hospitals. According to the results of the research and mathematical economic analyses and datasets, the master thesis offers an applicable way for the integration of RFID as a real-time technology for inventory management in medium hospitals.
The master thesis contains 126 pages, 51 images, 16 tables, 63 reference sources, and 2 appendixes. |
| Keywords |
Artificial Intelligence, Inventory Management, RFID, Big Data, Hospital |
| Keywords in English |
Artificial Intelligence, Inventory Management, RFID, Big Data, Hospital |
| Language |
eng |
| Year |
2021 |
| Date and time of uploading |
01.06.2021 15:43:49 |
