ENBIS-22 Trondheim Conference

Session

INVITED Data Science for logistics 2

28 Jun 2022, 14:40

EL2

Conveners

INVITED Data Science for logistics 2

• Christopher Reining (TU Dortmund University)
• Markus Pauly (TU Dortmund University)

36. Comparing statistical and machine learning methods for time series forecasting in data-driven logistics - a simulation study

Ms Lena Schmid (TU Dortmund University)

28/06/2022, 14:40

Other/special session/invited session

With the development of an Industry 4.0, logistics systems will increasingly implement data-driven, automated decision-making processes. In this context, the quality of forecasts with multiple time-dependent factors is of particular importance.

In this talk, we compare time series and machine learning algorithms in terms of out-of-the-box forecasting performance on a broadset of simulated...

41. Synthetic Demand Generation in a Farming-for-Mining-Framework for Logistics Networks

Joachim Hunker (TU Dortmund)

28/06/2022, 15:10

Other/special session/invited session

Logistics networks are complex systems due to drivers of change such as globalization and digitalization. In this context, decision makers in supply chain management are challenged with maintaining a logistics network in a good and competitive state. Because of the complexity, decision makers should be supported accordingly in answering a multitude of logistics task. A crucial factor to...

24. Statistical model for pavement rutting based on annual pavement surface measurements.

Natoya Jourdain (NTNU)

28/06/2022, 15:40

Modelling

Maintaining quality pavement is important for road safety. Further, effective pavement
maintenance targeted at the right locations is important for maximising the socioeconomic benefits from the resources allocated to maintenance activities. A flexible pavement is multilayered
with asphalt concrete at the top, base and subbase course followed by compacted soil subgrade.
Several laboratory...