Differences

This shows you the differences between two versions of the page.

Link to this comparison view

assignments:process_mining_in_logistics_with_vanderlande_-_outlier_analysis_and_prediction [2019/12/05 11:46] (current)
dfahland created
Line 1: Line 1:
 +====== Process Mining in Logistics with Vanderlande - Outlier Analysis and Prediction (2 Master projects) ======
 +
 +{{ :​images:​vanderlande.jpg?​nolink|}} Vanderlande is the global market leader for value-added logistic process automation at airports and in the parcel market. The company is also a leading supplier of process automation solutions for warehouses. Vanderlande and the AIS group of TU Eindhoven are together running a 7 year project on developing [[research:​projects:​vanderlande|Process Mining in Logistics]]. The research problem of this project is to analyze, predict, and prevent the behavior and performance problems of an entire systems including all cases and all system resources and actors together (instead of each case on its own in isolation).
 +
 +The project has resulted in several novel techniques to perform what can be considered "​holistic"​ process mining of an entire systems:
 +  * The foundational technique is the [[research:​projects:​vanderlande:​the_performance_spectrum|Performance Spectrum]] showing the behavior of all cases together, see [[https://​research.tue.nl/​en/​publications/​unbiased-fine-grained-description-of-processes-performance-from-e|research paper]]
 +  * A TU/e Master project applied process mining to warehouse automation systems, see [[https://​research.tue.nl/​en/​studentTheses/​process-mining-for-systems-with-automated-batching|Master thesis]]
 +  * A TU/e Master project automatically detected system outliers from event data using the performance spectrum, see [[https://​research.tue.nl/​en/​studentTheses/​outlier-detection-in-event-logs-of-material-handling-system|Master thesis]]
 +  * A TU/e Master project performed analysis of efficient and inefficent routes from event data, see [[https://​research.tue.nl/​en/​studentTheses/​performance-aware-conformance-checking-on-material-handling-syste|Master thesis]]
 +
 +The Master projects take place in this ongoing research project, directly connect to the most recent research results and Master theses and build on these in the following problem areas. The specific topic will be selected and chosen in line with the student interests:
 +  * Automated analysis of performance problems in material handling systems and their impact on routing, delays, and performance targets, taking into account the system context such as load, schedules, etc.
 +  * Development of prediction models that can predict performance problems, affects on routes, etc.
 +  * Efficient data pre-processing and preparation techniques to aid Data Scientists at Vanderlande to conduct process mining analyses for specific cases
 +  * Extend process mining analyses to warehouse systems where multiple different material flows converge and diverge in packaging and unpackaging steps, requiring new models, algorithms, and visualizations.
 +
 +
 +===== Vanderlande =====
 +
 +Vanderlande is the global market leader for value-added logistic process automation at airports and in the parcel market. The company is also a leading supplier of process automation solutions for warehouses. Some figures:
 +- Vanderlande’s baggage handling systems move 3.7 billion pieces of luggage around the world per year. 
 +- Our systems are active in 600 airports including 13 of the world’s top 20.  ​
 +- More than 39 million parcels are sorted by its systems every day, which have been installed for the world’s leading parcel companies.
 +- More than 206 projects in 105 countries
 +- Many of the largest global e-commerce players and distribution firms have confidence in Vanderlande’s efficient and reliable solutions.
 +
 +Vanderlande focuses on the optimization of its customers’ business processes and competitive positions. Through close cooperation,​ we strive for the improvement of our customers’ operational activities and the expansion of their logistical achievements. ​
 +
 +For Vanderlande,​ it is critical that we have state-of-the-art techniques to analyze and optimize our customers’ logistics processes. Reasons are (a) the constantly increasing size and complexity of our material handling solutions, (b) growing complexity of our software solutions, covering larger and larger parts of our customers’ business processes, and (c) the demand for more advanced service offerings, covering logistics and business services together. We believe that process mining is of high value for Vanderlande. Therefore, we work with the Eindhoven University of Technology on making process mining fit for analyzing logistics processes. In this context, we offer graduation positions on process mining and the application in our business.
 +
 +===== Project Topics =====
 +
 +We currently offer 2 Master project positions. The Master projects take place in this ongoing research project, directly connect to the most recent research results and Master theses and build on these in the following problem areas. The specific topic will be selected and chosen in line with the student interests:
 +  * Automated analysis of performance problems in material handling systems and their impact on routing, delays, and performance targets, taking into account the system context such as load, schedules, etc.
 +  * Development of prediction models that can predict performance problems, affects on routes, etc.
 +  * Efficient data pre-processing and preparation techniques to aid Data Scientists at Vanderlande to conduct process mining analyses for specific cases
 +  * Extend process mining analyses to warehouse systems where multiple different material flows converge and diverge in packaging and unpackaging steps, requiring new models, algorithms, and visualizations.
 +
 +===== Contact =====
 +
 +For further information,​ please contact [[organization:​staff:​d.fahland|Dr. Dirk Fahland]]