Increase urban freight efficiency with delivery and servicing plan

Delivery and Servicing Plan (DSP) is an innovative logistics concept for more efficient organisation of deliveries from the point of view of the receiver of the goods. DSP actions tested in this study include reducing the number of suppliers, grouping deliveries, selecting less distant suppliers and others. It is shown that DSP can help reduce externalities and lead to a substantial reduction of costs. A new tool was developed to calculate the benefits of different DSP options for businesses and the public sector. Reductions in costs and externalities exceeding 50% have been demonstrated in a few cases. Remaining difficulties with the concept are organisational issues, lack of knowledge, need to give external advisory support for shop owners and the limited number of successful applications to date.

Analyzing and Modeling Medical Data on Distributed Computing Infrastructures

Researchers want to analyse Health Care data which may requires large pools of compute and data resources. To have them they need access to Distributed Computing Infrastructures (DCI). To use them it requires expertise which researchers may not have. Workflows can hide infrastructures. There are many workflow systems but they are not interoperable. To learn a workflow system and create workflows in a workflow system may require significant effort. Considering these efforts it is not reasonable to expect that researchers will learn new workflow systems if they want to run workflows of other workflow systems. As a result, the lack of interoperability prevents workflow sharing and a vast amount of research efforts is wasted. The FP7 Sharing Interoperable Workflow for Large-Scale Scientific Simulation on Available DCIs (SHIWA) project developed the Coarse-Grained Interoperability (CGI) to enable workflow sharing. The project created the SHIWA Simulation Platform (SSP) to support CGI as a production-level service. The paper describes how the CGI approach can be used for analysis and simulation in Health Care.