Objective
Collaboration Concepts for Co-modality, CO3 is a business strategy enabling companies throughout the supply chain to set up and maintain initiatives to manage and optimise their logistics and transport operations by increasing load factors, reducing empty movements and stimulate co-modality, through Horizontal Collaboration between industry partners, thereby reducing transport externalities such as greenhouse gas emissions and costs. The CO³ consortium, which is made up of logistics specialists, manufacturing industry and transport service providers, has been working on the topic of collaboration and co-modality for two years and already produced a first draft of a model framework with legal and operational guidelines for collaborative projects in the supply chain. The 18 partners of the consortium in seven EU countries will coordinate studies and expert group exchanges over a period of three years, and build on existing methodologies to develop European legal and operational frameworks for freight flow bundling, (WP2) -. We will come up with joint business models for inter- and intra-supply chain collaboration (WP3) to deliver more efficient transport processes, increase load factors and the use of co-modal transport. The results of the studies and expert group exchanges will be applied and validated in the market via case studies (WP4). The aim is to set up at least four different real-life applications of collaboration across the supply chain by using road transport, multimodal transport, regional retail distribution and collaboration for warehousing activities. We will also promote and facilitate matchmaking and knowledge-sharing through CO³ conferences and practical workshops to transfer knowledge and increase the market acceptance of the CO³ results. This will be done through discussions with a High Level Board of European Industry supply chain Leaders, (WP5).
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Call for proposal
FP7-SST-2011-RTD-1
See other projects for this call
Funding Scheme
CSA-CA - Coordination (or networking) actionsCoordinator
2719 EE ZOETERMEER
Netherlands
See on map
Participants (18)
Participation ended
1853 STROMBEEK-BEVER
See on map
4811 CA Breda
See on map
3011 XB ROTTERDAM
See on map
4837 DS BREDA
See on map
EH14 4AS Edinburgh
See on map
2845 Niel
See on map
1853 Strombeek Bever
See on map
MK43 0AL Cranfield - Bedfordshire
See on map
50018 Zaragoza
See on map
SL71DQ MARLOW
See on map
46980 Paterna
See on map
00144 Rome
See on map
5612 AE Eindhoven
See on map
402 78 Goteborg
See on map
75272 Paris
See on map
1050 BRUSSEL
See on map
3355 ES PAPENDRECHT
See on map
16129 Genova
See on map