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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.

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FIspace Meat Information Provenance Trial Open Call

  1. 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. 2. Topics • • • • • Problems to be solved Transparency system to be developed Functionalities and apps Business cases for end-users Business case for you?
  3. 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. 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. 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. 6. Transparency for 3 groups of end-users
  7. 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. 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. 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. 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. 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. 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. 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. 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. 15. Questions? Huub Scholten – Wageningen University – Tim Bartram – GS1 G -