| Studiju veids |
maģistra akadēmiskās studijas |
| Studiju programmas nosaukums |
Loģistikas sistēmu un piegādes ķēdes vadība |
| Nosaukums |
Uz RFID un lielo datu analīzi balstīts ar mākslīgo intelektu darbināms krājumu vadības satvars |
| Nosaukums angļu valodā |
Artificial Intelligence Powered Inventory Management Framework Based on RFID and Big Data Analysis |
| Struktūrvienība |
33000 Datorzinātnes, informācijas tehnoloģijas un enerģētikas fakultāte |
| Darba vadītājs |
Andrejs Romānovs |
| Recenzents |
Oksana Kuzņecova |
| Anotācija |
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. |
| Atslēgas vārdi |
Artificial Intelligence, Inventory Management, RFID, Big Data, Hospital |
| Atslēgas vārdi angļu valodā |
Artificial Intelligence, Inventory Management, RFID, Big Data, Hospital |
| Valoda |
eng |
| Gads |
2021 |
| Darba augšupielādes datums un laiks |
01.06.2021 15:43:49 |
