Data2Move: Traffic data for logistics value

Data2Move: Traffic data for logistics value
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Date and Time
14/06/2022, 12:00 - 18:00

Location: CWI Amsterdam

Data2Move is teaming up with FTMAAS – Freight Traffic Management as a Service! FTMAAS is a unique Living Lab bridging the worlds of traffic and logistics.

We are setting up an interactive program on how traffic data, from real-time ETAs to planned roadwork data, can be used in day-to-day operational activities. We will discuss both the potential benefits as well as the many hurdles of integrating traffic and logistics in practice.


12:00   Walk-in lunch
13:00   Data2Move, FTMAAS, and the “Traffic data for logistics value” framework
13:30   Three pilots and panel discussion on common learnings

Pilot 1: Navigating around roadworks
Pilot 2: What’s in that truck?
Pilot 3: Stuck on the road

14:15   Coffee
14:45   Workshop: How to use traffic data and ETA predictions in your operations?
15:45   Student poster session

• Lisa Cremer, DB Schenker: Linking transportation data to a workload prediction model: An inquiry into the workload and an application of prediction models in a workforce planning at a customer service department
• Naga Thiyagarajan, FTMAAS: Towards an empirical framework to assess viable value for logistics using transport information
• Lard van Zuylen, Shell: Designing a sustainable pyrolysis oil supply chain at Shell
• Bart van de Ven, Den Hartogh: Analyzing forecasting methods that fit in the global pricing process (S&OP) at Den Hartogh
• Muhammed Karakurt: Den Hartogh & ORTEC, Electric & hydrogen trucking

17:00   Drinks


Don’t miss this unique opportunity to learn from the pilot experiences of FTMAAS.
Please register here to join the workshop. 


Pilot 1: Navigating around roadworks
It is no surprise that roadworks seriously complicate the transport planner’s work. How disruptive are roadworks for transport and logistics? And how do planners take roadworks into account in their day-to-day transport planning? In the pilot, data on roadworks will be available to the planner in the Transport Management System. The planners can then decide whether to reroute trucks. We’ll find out how often they do so, and what the impact is on the chosen routes. An important question is how the roadwork data is best shared with planners. Is it best to simply make the data visible in the dashboard, or is it better to incorporate it in the route optimization of the Transport Management System?
Participants: Smartwayz, FiLogic, Technolution


Pilot 2: What’s in that truck?
In large distribution hubs, unloading the wrong truck at the wrong dock seriously complicates parcel handling on the floor. However, pre-assigning trucks to docs for efficient parcel handling requires knowing when a truck will arrive, as well as what’s in the truck. Combining real-time truck location data with the e-CMR facilitates just that. In the pilot, the carrier will use a tracking app to provide a gps status update and ETA to the distribution hub. This will help people at the hub to update their dockplanning and re-assign docks to incoming trucks as they deem convenient. Expected results are shorter waiting times and a more streamlined receipt process.
Participants: Technische Unie, Beurtvaartadres, PTV 


Pilot 3: Stuck on the road
In chemical refineries, trucks constantly come and go to pick up products such as fuels and plastics. Refineries are typically located close to ports, which are busy traffic hubs. Antwerp, for instance, is known for its almost constant state of traffic jam. It is thus no surprise that the slot planning is under constant motion, adjusting to trucks coming in earlier or later than planned. What are the benefits – better slot utilization, reduced waiting time, and less CO2 emissions – if the slot booking system received real-time ETA data from connected trucks on their way to the plant?
Participants: Exxon Mobil, PTV