The 2nd supply chain and logistics challenge will be held in the 11 IFAC Conference on Manufacturing Modelling, Management and Control (MIM 2025), Trondheim, Norway, 30 June – 3 July 2025.
The data challenge include three segments, briefly described as follows:
- Delivery Delay Prediction: This is a prediction problem, in which participants need to develop a model to predict whether a delivery will be delayed or not. The submitted solutions will be evaluated in terms of a set of quantitative measurements.
- Supply Chain Network Exploration: This is a network analysis problem, in which participants need to explore the network using any available analysis skills to answer a list of given questions about the network. The submitted solutions will be evaluated by a panel.
- Collaborative Vehicle Routing: This is a collaborative vehicle routing problem, in which participants need to develop a solver to find the best routes for a collection of vehicles. The submitted solvers will be evaluated in terms of quantitative measurements.
For each segment, a sample dataset will be provided before the conference for participants to train and test their solutions; the final data for competitions will be released before the conference. The timeline for data challenge arrangements will be released in mid-March 2025. Further details about these challenges will be released in May 2025.
MIM 2025 Data Challenge Time plan:
| May 30, 2025 | Official launch of the challenge. A detailed description will be released, including an overview of the three segments and the evaluation criteria. |
| June 13-15, 2025 | Release of sample datasets, along with detailed evaluation metrics and methods. |
| June 20-22, 2025 | Release of the final datasets for all three challenge segments. |
| July 2, 2025 (5:00 PM Local time) | Deadline for solution submission. |
| July 3, 2025 | Announcement of winners. |
Organising team:
Dr Liming Xu, University of Cambridge
Dr George Baryannis, University of Huddersfield
Prof Dmitry Ivanov, Berlin School of Economics and Law
Prof Fabio Sgarbossa, Norwegian University of Science and Technology
Prof Alexandra Brintrup, University of Cambridge
