Transition towards self-driving trucks
What logistics development do you see emerging?
Physical Internet
"My vision of the future is a world with electric and self-driving vehicles. And all the data regarding these vehicles, e.g. location, freight and traffic data are processed real-time to continuously maximise vehicle utilisation. This whole process is referred to by scientists as the Physical Internet. It may sound futuristic, but it is the direction in which we are heading. We want to move towards a sustainable society with the least possible inconvenience and waste of scarce resources. Clean and silent self-driving trucks that supply shops and DCs, preferably at night, are - in my opinion - the ultimate step.”
"When people think of autonomous transport, they mainly think of the vehicles themselves; driverless trucks, crammed with electronics, sensors and algorithms, that can communicate independently with other vehicles and systems. But it becomes really interesting when the entire supply chain is digitised. Then the capacity of vehicles can be optimised 24/7 and transport flows can be perfectly connected. But this is only possible if all transport data is complete and available so that systems can autonomously and continually plan and reschedule."
What will this mean for transport execution management?
Strict data protocols are needed
"Transport becomes completely data-driven and the human factor is taken out. Think about it, this is big. You can easily send a human driver on their way with incomplete information. They can think for themselves, assess situations, interpret data and make decisions. You don't have to spell everything out for them. So it is no problem if there are gaps in the information you give them, or if it is of a low quality. With a driverless vehicle, it is a completely different story. All data must be 100% complete and reliable! And IT systems must be able to communicate with each other.”
"Autonomous transport will have to be tightly regulated by governments. Definitions will have to be precise and 100% correct of which vehicles are allowed to drive where and when. To start, a transport execution management system or platform will have to be constantly and realtime aware of all these external constraints. In addition, the specifications of all vehicles and consignments must be known so that the system can check whether the applicable preconditions are met. Obviously, this information should not be in Excel or PDF files, but stored according to data protocols to which the entire industry adheres."
What can organisations do now to become future proof?
Start with improving the quality of your transport data
"It will take some time before autonomous transport becomes a reality. This transition will take decades and will be in phases. I think the main issue will be whether people trust the ‘decision making' to systems and dare to leave the operational transport decisions to computers. A way to gain trust for this process is with simulation. We should start with visualising all the trips of one day, incorporate the planning, and see how it was executed, what human decisions were made, etc.. and then compare with what would have happened if this had been decided by IT systems.”
"Organisations can start with improving their transport data. With autonomous transport, the input data of vehicles and shipments will have to be of perfect quality. Why not start with this now? This improvement move will benefit you as a company. For example, try mapping out all aspects of your fleet which are relevant for planning, i.e. which vehicle is suitable for what type of job. This information is often already there but in planners' heads, if you make sure this information is digital you can have planning systems do this. These systems are better at this and it makes you less vulnerable as an organisation should a planner, for example, decide to leave."
Rob Schuurbiers, co-founder and Simacan CEO
Specialisation: Geo- and traffic data