4 March 2016
LogDynamics Summer School: Control Interfaces in Logistics: Data and Algorithms
The complexity of logistic networks and systems is growing in today’s globalized world. Individual customer requirements cause a significant increase in the number of product variants and services as well as shorter product life cycles. This implies new technical and economic challenges for logistic systems and processes. In order to meet these challenges, innovative control methods are required to flexibly adapt to continuously changing conditions. The ability to incorporate and utilize the dynamic aspect is essential for successful manufacturing and transport logistics. Moreover, it guarantees strategic advantages in terms of competitiveness on the world market, but also enables green and sustainable logistic solutions.
The goal of this course is to introduce students to methods and tools to develop distributed control algorithms and interfaces. To this end, the students will learn how to use and combine logistic data (e.g., tour plans, bills of material, sensor information, demand forecasts, etc.). The idea is not only to provide students with the ability to use tools to monitor and control the flows of material, energy, people, and information in a variety of dynamic logistic environments from global networks via urban areas to the shop floor. Instead, the students will study information and algorithmic properties, which allow to increase efficiency, reduce emissions, or create robust processes on free scales.
University of Bremen
LogDynamics Research Cluster
Prof. Dr. Jürgen Pannek
Prof. Dr. Till Becker
Prof. Dr. Tobias Buer
The course is designed for PhD students or advanced Master students in Logistics, Computer Science, Industrial Engineering, or related fields. It is assumed that the students have some basic knowledge in modeling, programming, and statistics.
The goal of this summer school is to forge a seed of young researchers from different disciplines, who share the interest in mechanisms for coordination logistics decisions of autonomous agents. Therefore, the course plan of the summer school Control Interfaces in Logistics: Data and Algorithms is designed to enable students to create more effective and efficient control interfaces in logistics.
Control Theoretic Modeling
of Logistics Systems
Prof. Neil Duffie, PhD
University of Madison-Wisconsin, USA
Speed Dating & Excursion to
the BLG High-Bay Warehouse
Dr.-Ing. Ingrid Rügge
LogDynamics, University of Bremen, Germany
Prof. Dr. Michael Henke
Technical University of Dortmund, Germany
Complex Networks in Logistics
Dr. Olivia Woolley
ETH Zurich, Switzerland
Process Analysis using Machine Learning
Prof. Christopher Irgens, PhD
University of Strathclyde, UK
After participating in the summer school, the student will be able to:
identify the research landscape on control interfaces,
explain and apply the core ideas of network flow optimization, big data analytics, control theory, and heuristics,
identify limitations and assumptions of distributed control,
clarify performance criteria for control interfaces and select evaluation criteria,
judge whether central or decentral coordination is appropriate,
verify and discuss whether one of these methods is an applicable solution approach for agiven scenario, and
analyze conflicting objectives and constraints with respect to the performance of a control interface.
In the midterm, students will utilize this knowledge within their own projects to:
classify their research project in the topic landscape of the summer school,
sharpen the understanding of the working principles and realize the interdependencies between different levels and components of the systems,
improve communication and to increase understanding and exchange between the involved scientific disciplines.
Finally, the summer school strives to generate a network of young researchers within the field of logistics. The aim of the network is to foster ideas from the various discipline and give rise to opportunities for joint research.
To support this process, the summer school is accompanied by classical social elements such as get-together, dinner and guided tour, but also comprises new features such as research speed dating for scientific purpose and group lab sessions.
Successful participants will receive a certificate.
EUR 0: Free of Charge
To submit your appplication, please send us your CV and a short description of your research project latest by 30 November 2015 via e-mail at email@example.com