Session
Information Systems and Security
Description
Machine Learning and Robust Optimization techniques can significantly improve logistics operations and improve stock quantity and maintenance intervals. Machine Learning will be used to forecast item demands for each of the vending machines, taking into account past demands and calendar effects. By performing such predictions which are forwarded to a Robust Optimization model, and whose outputs will be the cash transport that each vending machine should require. These transports guarantee that demand is fulfilled up to the desired confidence level, preventing downtime of vending machines due to unplanned maintenance and out-of-stock situations, while also satisfying additional constraints arising in this particular domain. As a result of such operations, we expect productivity improvements of vending machines from 20-40%.
Keywords:
Machine Learning, vending machines, IoT, optimization techniques
Session Chair
Agon Mehmeti
Session Co-Chair
Blerton Abazi
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-437-96-7
First Page
12
Last Page
21
Location
Lipjan, Kosovo
Start Date
31-10-2020 9:00 AM
End Date
31-10-2020 10:30 AM
DOI
10.33107/ubt-ic.2020.211
Recommended Citation
Istrefi, Dashmir and Zdravevski, Eftim, "Making vending machines smarter with the use of Machine Learning and Artificial Intelligence: Set-up and Architecture" (2020). UBT International Conference. 69.
https://knowledgecenter.ubt-uni.net/conference/2020/all_events/69
Included in
Making vending machines smarter with the use of Machine Learning and Artificial Intelligence: Set-up and Architecture
Lipjan, Kosovo
Machine Learning and Robust Optimization techniques can significantly improve logistics operations and improve stock quantity and maintenance intervals. Machine Learning will be used to forecast item demands for each of the vending machines, taking into account past demands and calendar effects. By performing such predictions which are forwarded to a Robust Optimization model, and whose outputs will be the cash transport that each vending machine should require. These transports guarantee that demand is fulfilled up to the desired confidence level, preventing downtime of vending machines due to unplanned maintenance and out-of-stock situations, while also satisfying additional constraints arising in this particular domain. As a result of such operations, we expect productivity improvements of vending machines from 20-40%.