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FIspace Meat Information Provenance Trial Open Call
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FIspace Meat Information Provenance Trial Open Call

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Open call requirements of the FIspace Meat Information Provenance trial.

Open call requirements of the FIspace Meat Information Provenance trial.

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  • 1. Enabling Transparency in Meat Supply Chains one tracking & tracing system to serve supply chain partners, consumers and authorities Huub Scholten1, Tim Bartram2, Ayalew Kassahun1, Sabine Kläser2, Ralph Tröger2, Rob Hartog1, Angela Schillings-Schmitz2, Sandra 3 Meier2, Robert Netherlands 1 Wageningen University, Reiche 2 GS1 Germany, Cologne, Germany 3 Euro Pool System, Bornheim, Germany
  • 2. Topics • • • • • Problems to be solved Transparency system to be developed Functionalities and apps Business cases for end-users Business case for you?
  • 3. Food alerts for meat 2013 • up to 100 % horse meat in o Tesco spaghetti bolognese o Findus lasagne • horse meat scandal Since 1989 • BSE (bovine spongiform encephalopathy) • commonly known as mad cow disease
  • 4. Rationale • Consumer’s interest in origin, animal welfare, food safety and not only price • Authorities, consumers and meat supply chain partners require provenance data in case of a meat related food safety alert • Beef: because of BSE • Other types of meat: EU regulation 1169/2011 now beef, in 2014 other meat • Real time and all the time information and not only retrospective in case of food safety alerts and also to quality issues • All information wanted by consumers and other parties should be provided by supply chain partners and transported along the supply chain.
  • 5. Transparency system to be developed FIspace platform app shop app 1 app 2 app 3 app 4 layer 2 FIspace busininess collaboration handler app 5 app 6 app 7 app 8 farm meat industry retail / wholesale transport breed fatten transport slaugther debone cut package sell layer 1 EPCIS events EPCIS events farm EPCIS repository EPCIS events EPCIS events meat industry EPCIS repository retail / wholesale EPCIS repository
  • 6. Transparency for 3 groups of end-users
  • 7. 5 functions required (1) 1. Populating EPCIS repositories with meat transparency data o o o Upload EPCIS events, e.g. birth, breeding, fattening, slaughtering, cutting, packing/unpacking, sending/receiving and selling Not to be developed within MIP trial Obtaining event data from ERP systems and FMIS 2. Accessing transparency data by businesses and government o o GUI for standard EPCIS query operations , i.e. queries for specific business locations, processes, products, time intervals, etc. Questions on a product:  “Where does a product come from?”  “When did it arrive?”  “What raw material was used to produce it ?
  • 8. 5 functions required (2) 3. Discovery of traceability data sources (incl. administration) o who has information about a specific product, identified via Global Trade Item Number (GTIN) + lot or serial number or a shipment identified via a Serial Shipping Container Code (SSCC)) in order to reconstruct the entire chain of custody 4. Aggregation of traceability information o o o based on the 2 previous functions automated collection and aggregation of traceability information of a product Authorized requester should get:  place/ date of birth, date/ location of slaughtering of the processed animals  list of all parties who had custody of a product  list of distribution centres/ retail stores a product of concern has been shipped to
  • 9. 5 functions required (3) 5. Accessing transparency data by consumers (B2C) o o function similar to previous one, but for consumer what kind of information  dynamic data: date of slaughtering, place of birth, etc.), but also static product (weight, ingredients, etc.  master data: location of the slaughterhouse, etc.  marketing information: pictures, certificates, videos, etc. o not allowing tracking of products
  • 10. From requirements to apps • Requirement 1: to be developed as generic app, relevant for more trials • Requirement 5: to be developed together with the trial on Tailored Information for Consumers • Requirement 2, 3 and 4 should be developed by new partners entering FIspace’s MIP trial through the open call
  • 11. Business cases for consumers Consumers • Be informed by smartphone/website on – dynamic data: date of slaughtering, place of birth, etc.), but also static product (weight, ingredients, etc. – master data: location of the slaughterhouse, etc. – marketing information: pictures, certificates, videos, recipes, etc. • Meat related information will be filtered cf. interests Retailers • Can provide an enhanced consumer experience with – Proven history of the meat item – Brand-like name and approval stamp
  • 12. Business cases for meat supply chain partners Farmers – direct link to consumers • facilitating differentiation of products from those of other farms • Investments on e.g. animal welfare or sustainable production can be communicated to consumers Farmers, slaughterhouses and meat processor – products can be better based on requirements of consumers and meat supply chain partners – it will facilitate optimising every partner’s business process and improve investment decisions.
  • 13. Business cases for regulators/authorities Authorities • In case of meat alerts: – – – – Easier control and regulation enforcement New system enables a fast, effective, surgical response with less critique by the media and the general public resulting in more confidence and trust in the responsible authorities. Society as a whole • The new system makes investing in sustainable production and animal welfare more lucrative. • Moreover, no general alarms are required in case of meat alerts.
  • 14. Why should you join the team? • Large impact on society • Funded app development is seed for many more projects, i.e. – Develop apps funded by EC – Roll-out after end of FIspace • A proposal for a FI-PPP phase 3 project is under construction: – Transparency Fresh Food supply chains – More types of fresh food (several meat types, fruits & vegetables, bakery, etc.) – More fresh food supply chains (> 1000 supermarket chains in Europe)
  • 15. Questions? Huub Scholten – Wageningen University – huub.scholten@wur.nl Tim Bartram – GS1 G - Bartram@gs1-germany.de www.FIspace.eu