Authors:

1. Towards a Traceability Solution on the Food Supply Chain Authors: Gheorghe Sebestyen, Sergiu Nedevschi, Gavril Saplacan, Mihai Cerghizan, Nicolae Todor and Mircea Rusu Conti’2008, 5-6 june, 2008, Timisoara

2. The Food-Traceability Project • Consortium: • Technical University of Cluj-Napoca – project coordinator • University of Agricultural Sciences and Veterinary Medicine, Cluj-Napoca (domain specific) • SISTEC SA, Cluj-Napoca (IT partner) • Applied Informatics Company SA (IT partner) • Project’s duration: 2006/08/01- 2008/08/31 • Interdisciplinary project • Goal: to provide a logistic infrastructure for traceability and quality assurance in food industry

3. Project objectives • Evaluate and analyze worldwide state-of-the-art in food chain traceability, • Evaluate the traceability and quality assurance requirements for Romania, in the context of EU membership • Definition of a generic Traceability and Quality Model for the Romanian food industry • Implementation of a prototype/pilot system for a meat processing unit • Dissemination of the acquired experience to other food processing organizations

4. International context in domain of Quality Control&Traceability The main producers of Standards and Regulations in domain: • International Organization for Standardization – ISO • European Food Safety Authority - EFSA and their main regulatory documents: • ISO 9001:2000, ISO 22000 and complementary systems such as BS 8800 Health and Safety, BRC/IOP Packaging Standard • HACCP: The Hazard Analysis and Critical Control Point • The White Paper of Food Safety (Bruxelles, Jan 2000), • The White paper on the quality systems HACCP, • the European Council Directive no. 178/2002 (General Food Law), regarding the compulsoriness of supplying the traceability information for food products • Directive 2003/89/EC – referring to food ingredients

5. Generic requirements for quality and traceability assurance in food industry For good results in quality monitoring and traceability the systems should assure: • Real time parameters values acquisition from production lines • Unique products identification • Unique identification of product’s composition (sub-products) • Storage of processing parameters values • Storage of risks traceability information • Information exchange features for business partners Documentation of the systems should include: • Quality manual, with quality policy and quality objectives • Documented procedures to ensure the conformity of the product • Documented instructions to ensure the control of the risk parameters • Quality & Traceability information records.

6. International and local domain’s applicative projects There exist several applicative research projects in the field, among which: • TRACE - aims to develop generic and sector-specific traceability systems for use in the food industry (http://www.trace.eu.org) • Auto-ID project - developed at MIT for automatic product identification(RFID) (GS1, EAN UCC) • AGRO program (Romania) - animals identification

7. The Quality and Traceability System View Producers Consumers Distributors Authorities Foodtrace Traceability Portal Interbusiness – B2B Intra business Intra business Intra business Process monitoring Process monitoring Process monitoring Products and material flow Upstream and downstream traceability data-exchange Figure 1. The Quality and Traceability system view

8. Enterprise Foodtrace Logic Infrastructure Foodtrace Graphic User Interface Layer Mobile devices Embeded devices Desktop Computers Industrial Computers Specialized Webservices, GUI Description Language Multi-users Interface Layer Intra-business user interfaces Business to Business user interfaces System Config. Decision support Process monitoring Product offers Advertising Quality, Traceability Application Services Layer (food production monitoring) Web Service Layer (Web server, EPC, ONS) Database Management System Data Access Layer (Unified Set of Access drivers) Data Persistency Layer Long Term Preservation Data Store Metadata Catalogs LDAP, Active Directory Operating System & Communication Support Layer(Windows, Unix) Multi-users Interface and GUI Layer

9. Physical scheme of the food process monitoring and supervisionsystem Industrial Computer Process Floor Database Administration LAN Industrial Ethernet Router Industrial Ethernet Serial to Ethernet Convertor Wireless AP RFID writer RFID reader Barcode Printer Barcode Scanner Wireless I/O devices Sensors Handheld devices Food Processing line Labeling Storage Reception Processing

10. Processing unit workflow diagram and supervisory conditions • Reception • Beef case • Pork case • C.C.P.1B – Traceability parameters: • Temperature (0°C) • Time () • Humidity (5%) • Oxidation (0.1%) • Weight (Kg) • Warehouse • C.C.P. 2B - Traceability parameters: • Temperature (0-4°C) • Time (12h) • Humidity (3%) • Ham Preparation • C.C.P.3B,4B - Traceability parameters: • Temperature (<5°C) …

11. Supervisory Monitoring Screenshots a) Desktop view b) PDA view c) Configuration of a production line d) web service response for parameter inquiry <PROCESSINGUNIT id="PRODUCTION COMPANY"> <TYPE id="UNIT TYPE"/> <ADDRESS id="ADRESS"> … </ADDRESS > <SUBUNIT id="PRODUCTION COMPANY – FIRST SUBUNIT "> <DEPARTMENT id="PROCESSING DEPARTMENT 1"> <PRODUCTIONLINE id=”Meat production line”> <EQUIPMENT id=”Mixing equipment”> <SENSOR name=”Temperature sensor 1” id=”1”> <SENSOR name=”Humidity sensor 2” id=”2”> … </EQUIPMENT <EQUIPMENT id=”Boiling equipment”> <SENZOR name=”Temperature sensor 7” id=”7”> … </EQUIPMENT> </SUBUNIT> … </PROCESSINGUNIT> <DataSet> <xs:schema id="Sensor7DataSet"> <xs:element name="IdtrtLogRecords" type="xs:int" minOccurs="0"/> …. </xs:schema> <Sensor7DataSet> <Table diffgr:id="Table1" msdata:rowOrder="0"> .... <Time>2008-01-01T17:00:06+02:00</ Time > < MeasuredVal >72 </ MeasuredVal > </Table> .... </ Sensor7DataSet> </diffgr:diffgram> </DataSet> Web service request

12. Implementation MethodologiesTechnology stages model • Product technology = set of technological operations Traceability information Material quantities Input products identification • Generated GTIN associated with: • - Input lot codes • Monitored values • Risk parameter values Input product codes Technological operation (Production phase) HACCP( CCP) Allowed risk limits Input parameter identification Product’s Parameter Values Logical scheme of a technological operation

13. Supervisory system configuration class diagram • Configuration parameters for: • Production lines • Product recepies • HACCP plans • Workflow diagrams • Monitored parameters • Workflow phases

14. Automated Data Acquisition FoodTrace Framework provides integrated support for development of applications using: • Virtual devices with adapted drivers for specific devices • Modbus Message Protocol • Partial class diagram for Modbus device

15. Automated Data Acquisition Finally each product from the warehouse has a dataset containing: • quality parameter values • risk parameters values A sample of HACCP log record:

16. Technologies • Modbus, Profibus Communications protocols • Simex-TRS • OPC, SCADA • SOA – Service Oriented Architecture • SOAP – Simple Object Access Protocol • MS SQL 2005 • Web Services • XML, XSLT, XAML, HTTP • C#, .NET, ASP.NET

17. Conclusions to Implementing a Quality&Traceability monitoring system Using standards and highly accepted data exchange technologies the proposed system offers an open, flexible and scalable solution.

18. Thank you! Questions ?