SECURESCM

Secure supply chain management

 Coordinatore SAP AG 

 Organization address address: DIETMAR HOPP ALLEE 16
city: WALLDORF

contact info
Cognome: GOTTFRIED, FRANK
Email: send email
Telefono: -7747571
Fax: -7782789

 Nazionalità Coordinatore Germany [DE]
 Totale costo 3˙455˙803 €
 EC contributo 2˙099˙996 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Funding Scheme CP
 Anno di inizio 2008
 Periodo (anno-mese-giorno) 2008-02-01   -   2011-01-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    SAP AG

 Organization address address: DIETMAR HOPP ALLEE 16
city: WALLDORF

contact info
Cognome: GOTTFRIED, FRANK
Email: send email
Telefono: -7747571
Fax: -7782789

DE (WALLDORF) coordinator 0.00
2    DHITECH DISTRETTO TECNOLOGICO HIGH-TECH SCARL

 Organization address address: VIA PER MONTERONI
city: LECCE
postcode: 73100

contact info

IT (LECCE) participant 0.00
3    EBS EUROPEAN BUSINESS SCHOOL GEMEINNUETZIGE GMBH

 Organization address address: RHEINGAUSTRASSE 1
city: OESTRICH-WINKEL

contact info

DE (OESTRICH-WINKEL) participant 0.00
4    FUNDACION ZARAGOZA LOGISTICS CENTER

 Organization address address: AVENIDA ALC GOMEZ LAGUNA 25-1
city: ZARAGOZA
postcode: 50009

contact info

ES (ZARAGOZA) participant 0.00
5    INTERNATIONAL UNIVERSITY IN GERMANY BRUCHSAL GEMEINNUETZIGE GESELLSCHAFT MIT BESCHRAENKTER HAFTUNG

 Organization address address: CAMPUS 3
city: BRUCHSAL
postcode: 76646

contact info

DE (BRUCHSAL) participant 0.00
6    TECHNISCHE UNIVERSITEIT EINDHOVEN

 Organization address address: DEN DOLECH 2
city: EINDHOVEN
postcode: 5612 AZ

contact info

NL (EINDHOVEN) participant 0.00
7    UNIVERSITA DEGLI STUDI DI MILANO

 Organization address address: Via Festa Del Perdono 7
city: MILANO

contact info

IT (MILANO) participant 0.00

Mappa


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track    fact    computations    secure    collaborative    theoretical    private    chain    share    exploited    supply    planning    computation    data    business   

 Obiettivo del progetto (Objective)

It is a well-known fact that collaborative supply chain management and planning reduces overall costs. Nevertheless it is not being exploited due the fact that partners are reluctant to share the necessary, but sensitive data. This is due to inherent risks associated with exposing this private data.

This project proposes to use secure computation to overcome this data sharing problem in supply chain management and enable the secure collaboration and interoperation of supply chain partners to gain the advantages of knowledge-based collaborative supply chain planning, forecasting, benchmarking and management. We are extending existing techniques to more elaborate theoretical settings: first for the use case of an airplane manufacturing organization where several mutually distrustful SMEs need to collaborate in a partially integrated supply chain and second inter-enterprise where all companies in the supply chain are interoperating. We start by defining the requirements and necessary computations for each of the two use cases. We then extend the theoretical results to cover the cases of these computations if they do not exist already. Such a result is a protocol enabling this computation as part of a tool for generating the new knowledge of the computation result and managing the existing knowledge of the collaborating partners, such that it remains private.

Based on the theoretical foundation we want to develop prototypes to evaluate the practical performance of the protocols. In parallel to the technical implementation track, the business track needs to identify the obstacles for the technology to be exploited. We need to identify the criteria for user acceptance of the technology and a benefit distribution model needs to be developed, such that all partners in the supply chain share the profit in a fair manner. The results of the business and technical track are combined when it comes to building the demonstration of the results.

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