P3 Well-connected region
3.1. Improved transport flows of people and goods
01.09.2016 - 31.08.2019
€2 191 918
€1 707 377
The management of manufacturing, supply chain, logistics, and transportation industries are facing a substantial change, as new technologies are constantly developed. The change will affect how logistics providers of all sizes operate. Transportation cost and delivery time are critical aspects for most manufacturers as well as using technology to make transportation more efficient to help reduce overall costs and delivery time. Hence it is crucial for transportation management services, warehouse management systems, and other aspects of logistics to take Internet of Things (IoT) systems on board.
The project develops and tests IoT-solution within the logistics sector and logistic companies across the two corridors; ScanMed and North Sea-Baltic. The new solution will optimise all aspects of their integrated services (transportation, warehousing, cross-docking, inventory management, packaging, and freight forwarding) by creating a blockchain ledger for sharing the cargo transport status and location information across the transport corridors and giving companies access to vast amounts of anonymized data outside an organization.
This results on decreased operational costs of the companies as well as reduced time of delivery of goods.
Partner budget: 1.213.333 EUR
Amount of ERDF funding: 910.000 EUR ERDF
Region Örebro län
Partner budget: 344.200 EUR
Amount of ERDF funding: 258.150 EUR ERDF
Transporta un sakaru institūts
Partner budget: 34.500 EUR
Amount of ERDF funding: 29.325 EUR ERDF
Partner budget: 122.300 EUR
Amount of ERDF funding: 103.955 EUR ERDF
Partner budget: 201.700 EUR
Amount of ERDF funding: 171.445 EUR ERDF
Logistika õppetool, Mehaanika ja tööstustehnika instituut, Tallinna Tehnikaülikool
Partner budget: 275.885 EUR
Amount of ERDF funding: 234.502 EUR ERDF
The travel time improvement is achieved by exerting influence on certain critical points along the multi- and intermodal corridor transport chain, characterised by:
A. The number of different unique operators handling the cargo along the corridor.
B. The number of modality changes along the corridor chain
C. The number of available terminals and freight villages along the corridor transport chain.
In the special case of train transportation, the benefits of all of the above characteristics are multiplied, as the main bottlenecks in cargo train traffic are formed around the timetables of the passenger trains and their priority status over cargo traffic. By adding blockchain-induced efficiency factors into route and timetable planning, the travel time reduction will be significant.
Taking the above characteristics and applying them to real world data – however incompletely available at this time – shows that in case of route between the Örebro county (Hallsberg) (SWE) and Verona county (IT):
A. The number of different unique operators (approximate): 6. Percentual effect per operator 1%
B. The number of modality changes: 2. Percentual effect per change 1% (intermodal)
C. The number of available terminals and freight villages: 10. Percentual effect per site 3%
Cumulative accrued overhead time would therefore come to 28,5 hours of the total transit time of 75 hours, giving us 38% of travel time spent not in motion.
With blockchain sharing method: Cumulative accrued overhead time would therefore come to 14,25 hours of the total transit time of 75 hours, giving us 19% of travel time spent not in motion. The actual total transit time in motion is therefore estimated to increase by 14,25 hours on this particular corridor example case.