Data for Machine Learning : Data generation and simulation of a logistics operation for machine learning

Abstract: In the logistics business, a priority is to deliver packages at the right time in the right place. Mistakescan happen in any task that a human makes a decision. In this project, a simulation is developed of alogistics operation, used to generate data for machine learning algorithms. This project is one part ofa bigger project. The algorithm will be trained to discover abnormalities in the flow of packages, withthe goal to reduce the amount of wrongfully handled packages. Machine learning algorithms andtraining is parts of the bigger project and will not be covered in this paper. This project was broughtforth by IT-consulting Company Data Ductus.