WP / Deliverables
The work plan of U-TURN has been designed to achieve the original project objectives in a timely and cost-effective manner. The work plan of U-TURN consists of seven (7) work packages with clear...
Further, WP2 implements the ‘stable allocation theory’ principles to take optimal logistics sharing matches and assess them based on real-data. Then, in the course of
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- Public Material Publications Newsletters Posters and Brochures WP / Deliverables > WP1 WP2 WP3 WP4 WP5 WP6 WP7 Workshops
- Demo
- Members' area
- INTRASOFT INTERNATIONAL S.A.
- Athens University of Economics and Business
- Cranfield University
- Technical University of Dortmund
- SimPlan AG
- BARILLA G.eR. Fratelli
- TRT Trasporti e Territorio Srl
- LCP Consulting Limited
- OPTILOG Advisory Services
- Publications
- Newsletters
- Posters and Brochures
- WP / Deliverables > WP1 WP2 WP3 WP4 WP5 WP6 WP7
- Workshops
The work plan of U-TURN has been designed to achieve the original project objectives in a timely and cost-effective manner. The work plan of U-TURN consists of seven (7) work packages with clear input/ output and interdependencies, clear responsibilities of consortium members and well-defined tasks per each work package. Each work package (WP) is led by the partner whose competencies, skills and resources fit best to the work requirements of the work package. Figure 6 presents an overview of the project's methodological approach and work plan, while its proposed duration is 36 months, as presented in detail in the next section. WP1 collects the users’ requirements, reviews the current (As-Is) food distribution scenarios in the urban environment and concludes with the proposed (To-Be) collaborative food logistics scenarios and the specifications of the U-TURN collaboration platform. Taking input from WP1, WP2 focus on the comparative assessment of the collaborative logistics pooling schemes both versus the As-Is distribution practices and between them, in terms of costs and benefits (service time savings, transport cost, labour cost, trucks utilisation, etc.) as well as environmental impact.