SlideShare une entreprise Scribd logo
1  sur  15
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
Topics
•
•
•
•
•

Problems to be solved
Transparency system to be developed
Functionalities and apps
Business cases for end-users
Business case for you?
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
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.
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
Transparency for 3 groups of end-users
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 ?
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
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
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
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
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.
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.
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)
Questions?
Huub Scholten – Wageningen University – huub.scholten@wur.nl
Tim Bartram – GS1 G - Bartram@gs1-germany.de
www.FIspace.eu

Contenu connexe

En vedette

Serialziation & e-Pedigree: 8 Project Myths That Can Derail You
Serialziation & e-Pedigree: 8 Project Myths That Can Derail YouSerialziation & e-Pedigree: 8 Project Myths That Can Derail You
Serialziation & e-Pedigree: 8 Project Myths That Can Derail You
Michael Stewart
 
Pharm tech core traceability presentation
Pharm tech core traceability presentationPharm tech core traceability presentation
Pharm tech core traceability presentation
Michael Stewart
 
Supply Chain Traceability Technology Tools
Supply Chain Traceability Technology ToolsSupply Chain Traceability Technology Tools
Supply Chain Traceability Technology Tools
Laura Olson
 

En vedette (13)

Realising the Potential of Algal Biomass Production through Semantic Web an...
Realising the Potential of Algal Biomass Production   through Semantic Web an...Realising the Potential of Algal Biomass Production   through Semantic Web an...
Realising the Potential of Algal Biomass Production through Semantic Web an...
 
From Biomass to Energy via Semantic Web and Linked data
From Biomass to Energy via Semantic Web and Linked dataFrom Biomass to Energy via Semantic Web and Linked data
From Biomass to Energy via Semantic Web and Linked data
 
Serialziation & e-Pedigree: 8 Project Myths That Can Derail You
Serialziation & e-Pedigree: 8 Project Myths That Can Derail YouSerialziation & e-Pedigree: 8 Project Myths That Can Derail You
Serialziation & e-Pedigree: 8 Project Myths That Can Derail You
 
Linked Data for Improved Vaccine Information Systems
Linked Data for Improved Vaccine Information SystemsLinked Data for Improved Vaccine Information Systems
Linked Data for Improved Vaccine Information Systems
 
Pharm tech core traceability presentation
Pharm tech core traceability presentationPharm tech core traceability presentation
Pharm tech core traceability presentation
 
Technology Breakout – Chris Cameron, Elemica: “Achieving Greater Supply Chain...
Technology Breakout – Chris Cameron, Elemica: “Achieving Greater Supply Chain...Technology Breakout – Chris Cameron, Elemica: “Achieving Greater Supply Chain...
Technology Breakout – Chris Cameron, Elemica: “Achieving Greater Supply Chain...
 
Linking transformations in EPCIS governing supply chain business processes
Linking transformations in EPCIS governing supply chain business processesLinking transformations in EPCIS governing supply chain business processes
Linking transformations in EPCIS governing supply chain business processes
 
Evonik Supply Chain Visibility Presentation - Elemica Executive Luncheon
Evonik Supply Chain Visibility Presentation - Elemica Executive LuncheonEvonik Supply Chain Visibility Presentation - Elemica Executive Luncheon
Evonik Supply Chain Visibility Presentation - Elemica Executive Luncheon
 
Supply Chain Traceability Technology Tools
Supply Chain Traceability Technology ToolsSupply Chain Traceability Technology Tools
Supply Chain Traceability Technology Tools
 
Trust, Semantics and Blockchains: Food Safety in the age of IoT
Trust, Semantics and Blockchains: Food Safety in the age of IoTTrust, Semantics and Blockchains: Food Safety in the age of IoT
Trust, Semantics and Blockchains: Food Safety in the age of IoT
 
Blockchain: the solution for transparency in product supply chains
Blockchain: the solution for transparency in product supply chainsBlockchain: the solution for transparency in product supply chains
Blockchain: the solution for transparency in product supply chains
 
Survey Results: Trends in Supply Chain Visibility
Survey Results: Trends in Supply Chain Visibility Survey Results: Trends in Supply Chain Visibility
Survey Results: Trends in Supply Chain Visibility
 
Webinar: Trends in Supply Chain Visibility
Webinar: Trends in Supply Chain VisibilityWebinar: Trends in Supply Chain Visibility
Webinar: Trends in Supply Chain Visibility
 

Similaire à FIspace Meat Information Provenance Trial Open Call

Similaire à FIspace Meat Information Provenance Trial Open Call (20)

Product Traceability Mini Tutorial
Product Traceability Mini TutorialProduct Traceability Mini Tutorial
Product Traceability Mini Tutorial
 
Transforming traceability in the supply chain - a whitepaper from Advanced Bu...
Transforming traceability in the supply chain - a whitepaper from Advanced Bu...Transforming traceability in the supply chain - a whitepaper from Advanced Bu...
Transforming traceability in the supply chain - a whitepaper from Advanced Bu...
 
Pharmaceutical supply chain use case by Elonnnnnn.pdf
Pharmaceutical supply chain use case by Elonnnnnn.pdfPharmaceutical supply chain use case by Elonnnnnn.pdf
Pharmaceutical supply chain use case by Elonnnnnn.pdf
 
beefchain Global population 9billion by 2050 Annual demand for meat expected ...
beefchain Global population 9billion by 2050 Annual demand for meat expected ...beefchain Global population 9billion by 2050 Annual demand for meat expected ...
beefchain Global population 9billion by 2050 Annual demand for meat expected ...
 
Seafood supply chain use case by Sarkopagus.pdf
Seafood supply chain use case by Sarkopagus.pdfSeafood supply chain use case by Sarkopagus.pdf
Seafood supply chain use case by Sarkopagus.pdf
 
thefsm-focus-groups.pptx
thefsm-focus-groups.pptxthefsm-focus-groups.pptx
thefsm-focus-groups.pptx
 
Digital livestock Farming
Digital livestock FarmingDigital livestock Farming
Digital livestock Farming
 
Traceability, Record Keeping, and Good Practices of Meat Packers (At a Glance)
 Traceability, Record Keeping, and Good Practices of Meat Packers (At a Glance) Traceability, Record Keeping, and Good Practices of Meat Packers (At a Glance)
Traceability, Record Keeping, and Good Practices of Meat Packers (At a Glance)
 
A Product Traceability Food System.pdf
A Product Traceability Food System.pdfA Product Traceability Food System.pdf
A Product Traceability Food System.pdf
 
Paddock to plate food manufacturing wp
Paddock to plate food manufacturing wpPaddock to plate food manufacturing wp
Paddock to plate food manufacturing wp
 
Food Testing Microbiology and Chemistry
Food Testing Microbiology and ChemistryFood Testing Microbiology and Chemistry
Food Testing Microbiology and Chemistry
 
END 2 END FOOD TRACEABILITY
END 2 END FOOD TRACEABILITYEND 2 END FOOD TRACEABILITY
END 2 END FOOD TRACEABILITY
 
OS16 - 1.3.b Advancements in Compartmentalisation and Regionalisation-Oppor...
OS16 - 1.3.b   Advancements in Compartmentalisation and Regionalisation-Oppor...OS16 - 1.3.b   Advancements in Compartmentalisation and Regionalisation-Oppor...
OS16 - 1.3.b Advancements in Compartmentalisation and Regionalisation-Oppor...
 
Risk in the food supply chain
Risk in the food supply chainRisk in the food supply chain
Risk in the food supply chain
 
Blockchain in agriculture
Blockchain in agricultureBlockchain in agriculture
Blockchain in agriculture
 
TGA Presentation: Biologicals framework updates
TGA Presentation: Biologicals framework updatesTGA Presentation: Biologicals framework updates
TGA Presentation: Biologicals framework updates
 
Jennifer McEntire Presentation to FDA
Jennifer McEntire Presentation to FDAJennifer McEntire Presentation to FDA
Jennifer McEntire Presentation to FDA
 
Trace Mc Entire1 121009
Trace Mc Entire1 121009Trace Mc Entire1 121009
Trace Mc Entire1 121009
 
Seminar on computerization in food industries.pptx
Seminar on computerization in food industries.pptxSeminar on computerization in food industries.pptx
Seminar on computerization in food industries.pptx
 
Opportunities for blockchain in the fresh produce supply [autosaved]
Opportunities for blockchain in the fresh produce supply [autosaved]Opportunities for blockchain in the fresh produce supply [autosaved]
Opportunities for blockchain in the fresh produce supply [autosaved]
 

Plus de Sjaak Wolfert

The Internet of Things for Food - An integrated socio-economic and technologi...
The Internet of Things for Food - An integrated socio-economic and technologi...The Internet of Things for Food - An integrated socio-economic and technologi...
The Internet of Things for Food - An integrated socio-economic and technologi...
Sjaak Wolfert
 
Keynote at EAAP-EFFAB-FABRE conference
Keynote at EAAP-EFFAB-FABRE conferenceKeynote at EAAP-EFFAB-FABRE conference
Keynote at EAAP-EFFAB-FABRE conference
Sjaak Wolfert
 
Towards data-driven agri-food business
Towards data-driven agri-food businessTowards data-driven agri-food business
Towards data-driven agri-food business
Sjaak Wolfert
 
Big Data developments in Agri-Food
Big Data developments in Agri-FoodBig Data developments in Agri-Food
Big Data developments in Agri-Food
Sjaak Wolfert
 
Guidelines for governance of data sharing in agri food
Guidelines for governance of data sharing in agri foodGuidelines for governance of data sharing in agri food
Guidelines for governance of data sharing in agri food
Sjaak Wolfert
 
Fostering Business and Software Ecosystems for large-scale Uptake of IoT in F...
Fostering Business and Software Ecosystems for large-scale Uptake of IoT in F...Fostering Business and Software Ecosystems for large-scale Uptake of IoT in F...
Fostering Business and Software Ecosystems for large-scale Uptake of IoT in F...
Sjaak Wolfert
 

Plus de Sjaak Wolfert (20)

The Internet of Things for Food - An integrated socio-economic and technologi...
The Internet of Things for Food - An integrated socio-economic and technologi...The Internet of Things for Food - An integrated socio-economic and technologi...
The Internet of Things for Food - An integrated socio-economic and technologi...
 
Keynote at EAAP-EFFAB-FABRE conference
Keynote at EAAP-EFFAB-FABRE conferenceKeynote at EAAP-EFFAB-FABRE conference
Keynote at EAAP-EFFAB-FABRE conference
 
Ideas from SmartAgriHubs for F2F 02-04
Ideas from SmartAgriHubs for F2F 02-04Ideas from SmartAgriHubs for F2F 02-04
Ideas from SmartAgriHubs for F2F 02-04
 
IoT and 5G in Agriculture: opportunities and challenges
IoT and 5G in Agriculture: opportunities and challengesIoT and 5G in Agriculture: opportunities and challenges
IoT and 5G in Agriculture: opportunities and challenges
 
AI for intelligent services in Food Systems
AI for intelligent services in Food SystemsAI for intelligent services in Food Systems
AI for intelligent services in Food Systems
 
Navigating the twilight zone - pathways towards digital transformation of foo...
Navigating the twilight zone - pathways towards digital transformation of foo...Navigating the twilight zone - pathways towards digital transformation of foo...
Navigating the twilight zone - pathways towards digital transformation of foo...
 
SmartAgriHubs: connecting the dots
SmartAgriHubs: connecting the dotsSmartAgriHubs: connecting the dots
SmartAgriHubs: connecting the dots
 
Digital Innovation Hubs – Digital Transformation of Agriculture at a Regional...
Digital Innovation Hubs – Digital Transformation of Agriculture at a Regional...Digital Innovation Hubs – Digital Transformation of Agriculture at a Regional...
Digital Innovation Hubs – Digital Transformation of Agriculture at a Regional...
 
Digital innovation for sustainable food systems
Digital innovation for sustainable food systemsDigital innovation for sustainable food systems
Digital innovation for sustainable food systems
 
Large ICT-projects in Agri-Food in Europe
Large ICT-projects in Agri-Food in EuropeLarge ICT-projects in Agri-Food in Europe
Large ICT-projects in Agri-Food in Europe
 
Understanding SmartAgriHubs
Understanding SmartAgriHubs Understanding SmartAgriHubs
Understanding SmartAgriHubs
 
IoT and Big Data in Agri-Food Business
IoT and Big Data in Agri-Food BusinessIoT and Big Data in Agri-Food Business
IoT and Big Data in Agri-Food Business
 
APPLICATION OF BIG DATA IN ENHANCING EFFECTIVE DECISION MAKING IN AGRICULTURA...
APPLICATION OF BIG DATA IN ENHANCING EFFECTIVE DECISION MAKING IN AGRICULTURA...APPLICATION OF BIG DATA IN ENHANCING EFFECTIVE DECISION MAKING IN AGRICULTURA...
APPLICATION OF BIG DATA IN ENHANCING EFFECTIVE DECISION MAKING IN AGRICULTURA...
 
SmartAgriHubs Objective and method
SmartAgriHubs Objective and methodSmartAgriHubs Objective and method
SmartAgriHubs Objective and method
 
Towards data-driven agri-food business
Towards data-driven agri-food businessTowards data-driven agri-food business
Towards data-driven agri-food business
 
IoF2020: Fostering the Data Ecosystem
IoF2020: Fostering the Data EcosystemIoF2020: Fostering the Data Ecosystem
IoF2020: Fostering the Data Ecosystem
 
Big Data developments in Agri-Food
Big Data developments in Agri-FoodBig Data developments in Agri-Food
Big Data developments in Agri-Food
 
Guidelines for governance of data sharing in agri food
Guidelines for governance of data sharing in agri foodGuidelines for governance of data sharing in agri food
Guidelines for governance of data sharing in agri food
 
Fostering Business and Software Ecosystems for large-scale Uptake of IoT in F...
Fostering Business and Software Ecosystems for large-scale Uptake of IoT in F...Fostering Business and Software Ecosystems for large-scale Uptake of IoT in F...
Fostering Business and Software Ecosystems for large-scale Uptake of IoT in F...
 
Keynote IoT in Agriculture opening academic year CIHEAM Zaragoza
Keynote IoT in Agriculture opening academic year CIHEAM ZaragozaKeynote IoT in Agriculture opening academic year CIHEAM Zaragoza
Keynote IoT in Agriculture opening academic year CIHEAM Zaragoza
 

Dernier

Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 

Dernier (20)

GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu SubbuApidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
 
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 

FIspace Meat Information Provenance Trial Open Call

  • 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