COVID-19 has generated a lot of information in different formats, and one of them is in the ontology format. Also, there are previous ontologies from other disciplines that can help to analyze the COVID-19 pandemic. Thus, due to the large quantity of COVID-19 information in the form of ontologies, approaches […]
Yearly Archives: 2022
2 posts
In this paper is proposed a hybrid algorithm for the inventory management. Our proposal is based on the DBPM (Demand-Driven Manufacturing Resources Planning) model and machine learning techniques, in order to determine when and how much to purchase a product. The DBPM model optimize the inventory using predictive models to […]