PhD School of Logistics 2019

What to expect? Artificial Intelligence and Machine Learning in Logistics

PhD School of Logistics 2019

Become a sponsor of this year’s Summer School!

PhD School of Logistics 2019

Every minute in Dortmund is worth it. Definitely!

RETHINK FUTURE

DIGITAL TRANSFORMATION IN LOGISTICS
FOCUS ON ARTIFICIAL INTELLIGENCE UND MACHINE LEARNING

PhD School of Logistics 2019
July 8-12, 2019
Fraunhofer IML | Dortmund | Germany

One Week – One Topic – Endless Opportunities

Participants from different countries and disciplines, international scientists and experts from Center of Excellence Logistics and IT work together intensively for one week. Theory becomes practice. This year’s Summer School of the Graduate School of Logistics will take place from July 8-12, 2019 at the Fraunhofer Institute for Material Flow and Logistics in Dortmund.

Following the mission statement of the Graduate School of Logistics, the program provides a balanced mix of theoretical foundations and practical implementation. In addition to keynotes, we offer hands-on workshops in the laboratories of Fraunhofer IML and a Live Case Study in a company. You will act in interdisciplinary groups, create new ideas and work on concrete examples from the business world.

What to expect?

Artificial intelligence (AI) pursues the basic idea of reproducing natural, human learning processes. Fundamentally, it is not a new topic and, if anything, it has been researched for several decades. However, the economic importance of this topic is enormous today. Intelligent systems, self-learning machines and autonomous vehicles have particular potential. With today‘s concepts, methods and technologies, it is possible for us to raise the potential of AI.

Logistics is an especially interesting area of tension. In our complex supply chains and networks, unpredictable situations often occur, which is why existing industrial solutions cannot simply be transferred to logistics applications. The use of machine learning becomes necessary. The challenge: Machines learn from data, which is rarely available in good quality and is hardly described in a sufficient semantical way. This makes data analytics procedures important for creating a suitable basis.

Drill deeper

Let’s start a journey and get deeper into the topic. What is Machine Learning? What does it mean for logistics? How do autonomous vehicles navigate? How can we create the right data basis for machine learning? What effects do AI and machine learning have on human-machine interaction? And why are Smart Contracts important for the realization of the Social Networked Industry?

Mission Statement

Following the mission statement of the Graduate School of Logistics, the program of this year’s Summer School provides a balanced mix of theoretical foundations and practical implementation. In addition to keynotes, we offer hands-on workshops in the laboratories of Fraunhofer IML and a Live Case Study in a company. You will act in interdisciplinary groups, create new ideas and work on concrete examples from the business world.

Participants from different countries and disciplines, international scientists and experts from Center of Excellence Logistics and IT work together intensively for one week. Theory becomes practice. This year’s Summer School of the Graduate School of Logistics will take place from July 8-12, 2019 at the Fraunhofer Institute for Material Flow and Logistics in Dortmund.

Transfer

The focus is on scientific methods of Artificial Intelligence and Machine Leaning and the transfer to your dissertation project. Logistics is an interdisciplinary science. That’s why we work together with engineers, computer scientists, economists, sociologists and psychologists. Together we will shape the future of logistics science.

 

For PhD students

  • You are a PhD student in logistics or in related fields (computer science, mechanical engineering, industrial engineering, business administration, Sociology, Psychology, …)
  • You want to learn from international scientists.
  • You want to be a member of an important logistics network.
  • You are interested in a program with scientific and practical aspects.

 

Be part of the PhD School of Logistics!

This year’s topics:

  • Artificial Intelligence
  • Machine Learning
  • Data Analytics
  • Multi Agent Systems
  • Management of Industry 4.0
  • Human Machine Interaction
  • Blockchain & Smart Contracts
  • Live Case Study in a Company

Programme:

Click to enlarge

Live Case Study

Sponsor for this year’s Live Case Study is DB Schenker AG. The case deals with the evaluation and analysis of processes using the key indicator method. You will create solution concepts considering the use of exoskeletons.

Register here

The number of participants is limited to 30 persons. Please let us know your motivation for participating (2.000 characters in registration form). We will check your registration and will inform you about your admission by email.

Your registration is binding!

The participation fee is 450 Euro (+VAT). You will receive an invoice after the event.

For any further questions don’t hesitate to contact phdschool@gsoflog.de.

Meet future managers and logistics experts

Since 2016, the Graduate School of Logistics (GSofLog) has been offering a summer school for GSofLog scholarship holders and doctoral students of logistics and related disciplines worldwide.

The Summer School is an international program with international, top-class lecturers and workshop leaders from the scientific community. True to the GSofLog principle, science and business practice merge here in a one-week programme. Expert knowledge is imparted and tested directly in practical and application-oriented workshops. This practical offer is unique and forms the unique selling point of the GSofLog Summer School.

As a company you have the opportunity to become a sponsor of the PhD School of Logistics. Present yourself as a potential employer and cooperation partner, expand your network with the managers and logistics experts of the future and benefit from an excellent presence and visibility of your company at our event.

The PhD School of Logistics will take place from July 8-12, 2019 at the Fraunhofer Institute for Material Flow and Logistics IML. Here GSofLog has a representative lecture room and a direct connection to laboratories, test centres and demonstrators.

You are interested in sponsoring PhD School of Logistics 2019? Our coordinator will be pleased to answer further questions.

Britta Scherer
Coordinator GSofLog
Mail: scherer@gsoflog.de
Phone: +49 (0)231 97 43 413

Every minute in Dortmund is worth it. Definitely!

There is no other science location that has been doing more for logistics than Dortmund: here, logistics was founded as an independent scientific discipline, here terms like digitization, logistics 4.0, industry 4.0 and the Internet of Things were significantly formed for logistics and here concepts and methods for the future of entrepreneurial practice are developed.

We are shaping logistics as key science of the industrial future by strengthening logistics research at the interface between logistics and IT. We create exciting perspectives for scientists who are interested in established methods and methods of logistics research.

Welcome in a region that already impressively demonstrated that it is capable of structural change and in an environment that benefits from its proximity to Germany’s best logistics research institutions.

The Summer School will take place from July 8-12, 2019 at the Fraunhofer Institute for Material Flow and Logistics, Dortmund, Germany. Our partner is the Center of Excellence Logistics and IT – the central project for bundling the competencies of the „Logistics and IT“ innovation ecosystem at Dortmund across organisational boundaries. Its aim is to position logistics as the central science of the industrial future and to strengthen excellent logistics research at the interface between logistics and IT. To do so, the actors and institutions of the Scientific Competence Field (WKF) Logistics (IML, ISST, TU Dortmund, IfADo) will be synergetically linked. This cross-organisational and mission-oriented orientation of the structures and formats promotes multilateral transfer within the ecosystem along the entire innovation chain and catalyses the exploitation of research and development results in industrial practice.

Address

Fraunhofer Institute for Material Flow and Logistics
Joseph-von-Fraunhofer-Str. 2-4
44227 Dortmund, Germany

Suggestions for accommodations

TRYP Dortmund Hotel
Emil-Figge Strasse 41
44227 Dortmund
(15 minutes walk to event location)

Steigenberger Dortmund
Berswordtstraße 2
44139 Dortmund
(Close to the “Kreuzviertel” – a district with many bars and restaurants)

How to arrive?

By plane

Dortmund offers good train connections to major German cities. If you travel by plane, you might directly fly to Dortmund from some European cities. Often flying to Düsseldorf Airport will be the most convenient choice. Düsseldorf International Airport is only 0.45 hours from Dortmund Main Station. Finally, Frankfurt Airport could be reached by train within 2.12 hours.

To get from Dortmund Airport to campus, you may take the “AirportExpress” bus which takes you directly to Dortmund Central Station within 20 minutes of time. At Central Station go to platform 7 and take the S1 (in direction Solingen Hbf). Get off at “Dortmund Universität” station. For more information press here.

If you plan to get to campus from Düsseldorf Airport, you may take the S-Bahn (S1, direction: “Dortmund Hauptbahnhof”) which takes you to “Dortmund Universität” station directly within 1.10 hours of time. It usually departs from platform 5.

By car

To get to Fraunhofer IML by car on the A45, take the exit ‚Eichlinghofen/Universiät‘. Stay on the road Universitätsstrasse, drive eastward and follow the direction sign to‚ Technologiepark/Universität‘. After passing an intersection with traffic lights take the first turn left. The street that you are on now is called Hauert. Follow the street until you come to the second road intersection with traffic lights – turn right. Now you are on Emil-Figge-Strasse. The institute is on the left side of the road.

You will find parking lots behind the institute. Please follow the sign “Einfahrt 2” in Joseph-von-Fraunhofer-Straße. The main entrance of the institute is signposted.

Fraunhofer_IML_parking