Seven consortia Complexity in Transport & Logistics granted

24 November 2016

Logistics consist of several intertwined complex systems. Many factors can influence whether these logistics systems function or not. How to get a grip? How can you make sure that your own processes and systems are resilient and flexible to stay economically competitive? To answer these questions seven consortia will analyse these big complex systems and subsystems.

On 21 November the NWO Boards of the Physical Science Division and Social Sciences Division granted seven proposals in the research programme ‘Complexity in Transport & Logistics’. In total 24 preproposals were submitted, in the second phase 15 full proposals were submitted.

The purpose of the ‘Complexity in Transport & Logistics’ programme is to encourage innovative, multidisciplinary research that will generate revolutionary ideas for logistics systems and contribute to new theories and innovation in the field of complex systems. Within the research projects researchers , companies and other stakeholders in the field of logistics work together to align research and practise.

The available budget for this programme is a maximum of € 3.5 million (three and a half million euros) and is provided by the NWO divisions of Social Sciences (MaGW) and Physical Sciences (EW) and the NWO governing board. An important partner within this programme is TNO. TNO has provided substantial resources and participates in several projects. This is particularly useful for the knowledge valorisation and the consortia.

The following research proposals are granted:

ADAPTATION
Non-recurring traffic disruptions can have a significant impact on the timeliness of time critical parcel delivery. The aim of this project is to develop interactive adaptive route planning methods for logistics service providers to minimize the impact of traffic disruptions based on quick detection and prediction of the disturbances.

Main applicant: Prof. dr. ir. E.C. van Berkum, Twente University
Co-applicants: Dr. ir. N.A.H. Agatz, Erasmus University Rotterdam, Dr. ir. M.R.K. Mes, Twente University, Dr. D. Stam, Erasmus University Rotterdam
Consortium partners: Simacan, AH Online, DPD

Universality and resilience in logistics networks: a mean field approach
In the near future the logistics network will experience a number of challenges imposed by the technological developments, such as autonomous travelling of containers and vehicles. Therefore the logistics network has to exhibit resilience, which we will investigate combining a universal one-dimensional mean-field description and choice behaviour modelling.

Main applicant: Dr. J.L.A. Dubbeldam, Delft University of Technology
Co-applicants: Dr. E.J.E.M. Pauwels, Centre for mathematics and computer science, Prof. dr. ir C. Chorus, Delft University of Technology
Consortium partners: Almende, Logit-One

Complexity in high-tech manufacturing
Manufacturing high-tech systems requires the joint effort of some hundred teams of specialized engineers employed by dozens of companies. The process is somehow orchestrated by coordinating deliveries between upstream and downstream teams. We investigate and prescribe how teams should coordinate deliveries such that responsive, resilient and cost-effective supply chains emerge.

Main applicant: Prof. dr. A.G. de Kok, Eindhoven University of Technology
Co-applicants: Prof. dr. A.P. Zwart, Eindhoven University of Technology, Dr. M. Vlasiou, Eindhoven University of Technology, Dr. ir. J.H. Kwakkel, Delft University of Technology, Dr. W.L. van Jaarsveld, Eindhoven University of Technology, Prof. dr. ir. A. Verbraeck, Delft University of Technology
Consortium partners: ASML, Philips IGT Systems, VDL/ETG, HILTI, CQM, ESCF

Complexity Methods for Predictive Synchromodality (Comet-PS)
Synchromodality is a promising concept that enables us to optimize the efficiency of freight transportation supply chains, one of the key drivers of the Dutch economy. In this project we develop and evaluate methods to exploit the full potential of synchromodality, leading to dramatic reductions in cost and emissions.

Main applicant: Prof. dr. R.D. van der Mei, Free University Amsterdam/Centre for mathematics and computer science
Co-applicants: Prof. dr. ir. G. Lodewijks, Delft University of Technology, Dr. R.R. Negenborn, Delft University of Technology, Dr. C. Amrit, Twente University, Dr. ir. F. Corman, Delft University of Technology, Dr. E.R. Dugundji, Centre for mathematics and computer science, Prof. dr. J.L. van den Berg, Twente University
Consortium partners: Port of Amsterdam, Tata Steel Ijmuiden, Combi-Terminal Twente, Air Cargo Netherlands, TNO

Improving the resilience of railway systems
Due to accumulating disruptions the Dutch railway operations can get out-of-control. Modelling the railways as a complex system can reveal the underlying interactions causing this. Using that insight we seek early warning signals for such situations, and accordingly, improved counter-measures leading to a more resilient service.

Main applicant: Dr. D. Panja, Utrecht University
Co-applicants: Prof. dr. D. Huisman, Erasmus University Rotterdam, Prof. dr. L.G. Kroon, Erasmus University Rotterdam, Dr. R.M.P. Goverde, Delft University of Technology, Dr. S.C. Dekker, Utrecht University, Prof. dr. ir. H.A. Dijkstra, Utrecht University, Dr. ir. J.M. van den Akker, Utrecht University
Consortium partners: NS, ProRail, TNO, University of Warwick

Trans-SONIC: Transport Self Organization through Network Integration and Collaboration
Due to accumulating disruptions the Dutch railway operations can get out-of-control. Modelling the railways as a complex system can reveal the underlying interactions causing this. Using that insight we seek early warning signals for such situations, and accordingly, improved counter-measures leading to a more resilient service.The Trans-SONIC project will develop and test technological and organizational solutions for setting-up integrated, seamless multimodal transport services. These services are key for delivering goods between mainports and the hinterland in a sustainable way. Core innovations that will be researched are sensor and interaction technologies and incentives for self-organization.

Main applicant: Prof. dr. ir. A. Verbraeck, Delft University of Technology
Co-applicants: Dr. H.K. Lukosch, Delft University of Technology, Prof. dr. R.A. Zuidwijk, Erasmus University Rotterdam, Dr. B. Behdani, Wageningen University
Consortium partners: Port of Amsterdam, SmartPort, TransFollow, ECORYS, TNO

SWARMPORT
In seaports, many different activities are needed to service a ship. Because of the sheer number of services, the many relations between them and the sensitivity to external disruptions, the system is complex and difficult to manage. We develop quantitative models that make the overall service quality easier to improve.

Main applicant: Prof. G. Weiss, Maastricht University
Co-applicants: Prof. dr. ir. L.A. Tavasszy, Delft University of Technology, Dr. R. van Duin, Delft University of Technology, Dr. R. Möckel, Maastricht University
Consortium partners: Port of Rotterdam, Intertransis, ECT, TNO

More information

‘Complexity in Transport & Logistics’ is a research programme of NWO, the Dinalog Top Consortium for Knowledge and Innovation (TKI Dinalog) and TNO. This programma also falls under the umbrella of the NWO-wide ‘Complexity' initiative, one of the six challenges NWO has set for the 2015-2018 period. This initiative, which involves several top sectors, is also in line with the Logistics Top Sector.

Source: NWO

Details

Science area

Social Sciences Physical Sciences

Programme

Complexity

Objective

Complexiteit Logistiek