Citation Link: https://doi.org/10.1080/00207543.2024.2432465

Predicting schedule adherence of engineering changes – a case study on effectivity date adherence prediction using machine learning

Publication Type
Article
Author(s)
Subjects
Schedule
Engineering
Computer science
Machine learning
Artificial intelligence
Operations research
Date Issued
2024
DOI
URI
Owning collection
DFG-funded publications (2023 - 2024)