Kick off meeting Big Data:
Real time ICT for Logistics, 24 January 2018, 13:00-17:00h


12:00 - 13:00 h - Lunch
13:00 - 13:15 h
Welcome and opening
by Marieke van Duin (NWO)

Presentation project Compartiment 1:

13:15 - 13:45 h
Data Logistics 4 Logistics Data (DaL4LoD)
by Harrie Bastiaansen (TNO)
"Digital Data Markets: real time ICT for logistics; Data Logistics 4 Logistics Data (dl4ld)"
by Robert Meijer (TNO) & Cees de Laat (University of Amsterdam)

13:45 - 14:00 h
Questions and discussion ‘Commit2Data’,
by Boudewijn Haverkort (Commit2Data)

Presentations projects Compartiment 2:

14:00 - 14:15 h
‘Real-Time Data for Products to Move: Data-Driven Real-Time Decision Making in Supply Chains and Logistics’,
by Sara Gelper (Eindhoven University of Technology)
14:15 - 14:30 h
‘ToGRIP: GRIP on freight TRIPS’,
by Lori Tavasszy (Delft University of Technology)
14:30 - 14:45 h
‘Real-time data-driven maintenance logistics’,
by Rik Eshuis (Eindhoven University of Technology) & Alp Akcay (Eindhoven University of Technology)
14:45 - 15:00 h
‘DataRel - Big Data for Resilient Logistics’,
by Paul Havinga (University of Twente)
15:00 - 15:15 h
Secure scalable policy-enforced distributed data processing’,
by Leon Gommans (AirFrance-KLM)

15:15 - 15:45 h
Panel discussion - ‘How to proceed together’,
by Cees de Laat (University of Amsterdam)

15:45 - 15:50 h
by Marieke van Duin (NWO)
15:50 - 17:00 h
Networking and drinks

Summary Projects

Project Compartiment 1:

Data Logistics 4 Logistics Data (presentation: by Harrie Bastiaansen and Robert Meijer (TNO) & Cees de Laat (University of Amsterdam)
  • Project Leader: Dr. ir. H.J.M. Bastiaansen, TNO, PI's prof.dr. Robert Meijer and Cees de Laat
  • Consortium partners: Air France KLM, Thales Nederland B.V., Gemeente Amsterdam, Ciena Corporation, EVOfenedex, Oracle Nederland B.V., BIZZdesign, Transfides B.V., University of Amsterdam
  • The Topsector Logistics in the Netherlands has formulated its ambition for 2020 to achieve a leading international position in the handling of goods flows and as an international logistics chain manager. To achieve these objectives real time data should be exchanged on a much larger scale in order to optimise processes, maximise business value and comply with various legal requirements. This includes the ability to form temporary business alliances in which organizations partner in one logistic chain and compete in others. The agility and diversity of players, the increasing number of data sources and potential risk of data being misused, makes it necessary to create a common infrastructure to access and share data. Instead of sharing data with another company, data are offered to a limited, community certified, and growing set of computer programs running on dedicated distributed computing platforms.
    This future collective data infrastructure, which provides data and services of several Service Providers, must be ubiquitously available. Services range from available transport capacity, location and condition of cargo, expected times of arrival to identification of bottlenecks, maintenance and accidents on the physical infrastructure. Essentially these services rely on a data sharing infrastructure. Yet, to embark on a path leading to a logistic data and service infrastructure, every stakeholder involved must trust that infrastructure. This project delivers a technical solution in the form of a validated blueprint that provides the necessary trust to share data. Trust includes the guaranty that the abuse of exchanged data is minimised. We anticipate on the results of other projects, like NLIP iShare on identity and authentication and authorization. Our project also provides the governance structures to organise data sharing and its associated benefits.
    Our project runs in the context of the Commit2Data objectives. We will organise communities with providers and users of data, point out the practical business opportunities and organise short term projects to define, develop and evaluate new capabilities. We implement the new capabilities on the experimental facility, the Amsterdam (including KLM and Arena) Field Labs and the TNO Intrepid open facility. We use the development resources of C2D Big Data Hubs to connect the experimental facilities to systems of users and providers of data.
    International valorisation is via relevant standardisation bodies as well as the EC DG Move Digital Transport and Logistics Forum. The project will realize a blueprint for data infrastructure which will be disseminated to several IT and Logistics service providers and the NLIP. The project partners TNO and UvA will progress their open experimental facilities to support a variety of business cases and external research projects.

Projects Compartiment 2:

Real-Time Data for Products to Move Data-Driven Real-Time Decision Making in Supply Chains and Logistics (presentation: by Sara Gelper, Eindhoven University of Technology)
  • Project leader: Prof. dr. T. van Woensel, Eindhoven University of Technology
  • Consortium partners: ORTEC BV, Wuunder, Container Centralen Benelux BV, SCA HP BV, Den Hartogh Logistics BV, Jumbo NV, CTAC BV, MMGUIDE BV, ESCF, H&S Logistics
  • The purpose of this project is to develop and demonstrate real-time data-driven logistics methods and techniques, with a specific focus on inventory transhipment and transport. Stock decisions (e.g., transhipment, Omni-channels, Chain positioning) lead to transport decisions (e.g. vehicle routes, capacity, fleet). With the Internet-of-Things as one of the most important drivers, data-driven decision making in logistics is now more and more achievable, but successful implementations depend critically on the question "how?". For this, innovative research in combination with practical implementation is necessary.
ToGRIP: GRIP on freight TRIPS (presentation: by Lori Tavasszy, Delft University of Technology)
  • Project leader: Dr. M. Snelder, Delft University of Technology, TNO
  • Consortium Partners: TNO, SmartPort, Port of Rotterdam, Portbase, Deltalinqs, TLN, Rijkswaterstaat
  • For shippers, carriers and terminal operations it is important to have reliable and predictable travel and handling times. In this project, a data-driven integrated traffic and logistics model will be developed that will be used to design interventions to combat travel time unreliability and to improve logistic operations.
Real-time data-driven maintenance logistics (presentation: by Rik Eshuis, Eindhoven University of Technology & Alp Akcay, Eindhoven University of Technology)
  • Project leader: Prof. dr. ir. G.J.J.A.N. van Houtum, Eindhoven University of Technology
  • Consortium Partners: Philips, NS (voorheen NedTrain), Fokker Services
  • Because of Internet-of-Things, companies have a lot of real-time data about assets and spare parts. This real-time data gives companies the opportunity to organize the maintenance of assets more efficiently. Companies should therefore transition from static, time-driven towards dynamic, data-driven maintenance processes. This project develops techniques to support this transition.
DataRel - Big Data for Resilient Logistics (presentation: by Paul Havinga, University of Twente)
  • Project leader: Prof. dr. ing. P.J.M. Havinga, University of Twente
  • Consortium Partners: Locus Positioning B.V., Ahrma Holding B.V., Innovadis B.V., Cape Groep B.V., Datacadabra B.V., Unilever B.V., Ovis Telematics B.V., GS1
  • The logistics sector is undergoing major changes and is facing many challenges. The use of innovative IoT technology and big data is a possible solution to this. DATAREL aims at advancing the logistic knowledge for detecting emergence to improve the quality control and multimodal planning in terms of resilience, real time, efficiency, and dynamics.
Secure scalable policy-enforced distributed data processing (presentation: by Marc Makkes, Vrije Universiteit Amsterdam)
  • Project leader: Dr. ir. M.M.J. Stevens, Centrum Wiskunde & Informatica (CWI)
  • Consortium Partners: ABN AMRO, ING, KLM
  • This project combines Big Data, High Performance Computing and Cryptology in multidisciplinary fundamental and applied research. This research aims to develop integrated secure, end-to-end trusted, scalable and future-proof solutions for the problem of policy- enforced distributed data sharing and processing across multiple logistic domains.