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Eugen Volk High Performance Computing Center – HLRS University Stuttgart AgroGrid Composition and Monitoring of dynamic Supply Chains.

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Presentation on theme: "Eugen Volk High Performance Computing Center – HLRS University Stuttgart AgroGrid Composition and Monitoring of dynamic Supply Chains."— Presentation transcript:

1 Eugen Volk High Performance Computing Center – HLRS University Stuttgart AgroGrid Composition and Monitoring of dynamic Supply Chains

2 Outline What is AgroGrid Motivation Scenario AgroGrid Architecture Supply Chain Composition Supply Chain Monitoring Conclusions

3 What is AgroGrid AgroGrid is a Business Experiment within FP6 EU-Project BEinGRID BEinGRID –Project start date: 1st June 2006 –Duration: 42 months (Nov 2009) –Budget: 24.7 M Euros –Consortium: 95 partners –25 Business Experiments (BEs) designed to implement and deploy Grid solutions in industrial key sectors. AgroGrid: applying Grid in agriculture food domain –start date: March 2008 –Duration: 12 Months –4 partners

4 Motivation: Situation Today Participants in agricultural food markets interoperate in fixed supply chain structures with long term contract relations High market mismatch: Many small primary producers face few large food retail companies Tracking and tracing in isolated and in parts paper-based systems on enterprise level Companies have no market for food-related overcapacities (e.g. production) and companies temporarily needing more capacities cannot find them High transaction costs for niche markets (e.g. special treated fruit) According to Gartner fulfilling EU regulation 178/2002 (global tracking and tracing) requires successful Identification, Tracking and Collaboration

5 Motivation: Why AgroGrid AgroGrid offers a full lifecycle solution for a dynamic capacity market with integrated Tracking & Tracing and automated SLA-Monitoring & SLA-Evaluation in the agriculture domain A Grid-based market place for capacities in agriculture & food domain Dynamic Virtual Organizations around a certain product purpose SLA-Monitoring & -Evaluation ensuring contracts and fulfillment Quality monitoring and efficient gap-free decentralized tracking & tracing using already established GTNet (Global Traceability Network) infrastructure

6 Scenario Roles –Producer (of apricots) –Consolidator –Retailer –Logistics Company Use-Cases –Capacity Publication –Capacity Query –Negotiation –Supply Chain setup –SLA-Monitoring & Evaluation –Reporting

7 AgroGrid Architecture

8 Supply Chain Composition - Agreements SLA Contract based relationships between members Supply Chain as a VO (hub & spoke model) Supply chain manager manages membership of partners in the supply chain Steps: Capacity Publication Capacity Query Negotiation Contracting

9 Supply Chain Composition - SLA-Structure Compliant to WS-Agreement Contains Guarantee-Terms –Product quality –Quantity –Price –Environmental conditions of food during storage or transport –Penalty for violation of env. conditions –Delivery date –Penalty for violation of delivery date

10 Monitoring of supply chain – querying data

11 Monitoring of supply chain – hierarchy

12 AgroGrid Architecture

13 Conclusions AgroGrid applies Grid concepts to IT in food domain AgroGrid establishes Grid based market place Composition of dynamic supply chains through VO approach Monitoring and Evaluation of SLAs ensures food safety in dynamic supply chains Aggregated Monitoring concept is used to hide supply chain structure from competitors Realization of AgroGrid is based on BEinGRID components, CGW 2008 Eugen Volk

14 Thank you for your attention. Any questions? CGW 2008 Eugen Volk


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