Data Analysis and Simulation of Auto-ID enabled Food Supply Chains based on EPCIS Standard
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1 Data Analysis and Simulation of Auto-ID enabled Food Supply Chains based on EPCIS Standard Rui Wang Technical University of Munich 15. Aug fml Lehrstuhl für Fördertechnik Materialfluss Logistik Prof. Dr.-Ing. Dipl.-Wi.-Ing W. A. Günthner Technische Universität München fml Lehrstuhl für Fördertechnik Materialfluss Logistik. Prof. Dr.-Ing. Dipl.-Wi.-Ing. W. A. Günthner. Technische Universität München
2 Background Food saftety and traceability have drawn more and more public attention. Paper-based traceability systems are not adequate for timely and accurate tracing of products. Auto-ID especially RFID technology brings new opportunities for improving tracking and tracing process in supply chain. Intelligent transport items as well as the IT-infrastucture are going to be developed in the FORFood project for improving safety and traceability in the food supply chain Manufacturer Central Distribution Center Local Distribution Center Retailer Intelligent Container IT infrastructure for a safe supply chain Distributed Data Storage Event Management Manipulation Security Energy Supply Protection of goods Data repository Information Processing Ergonomics Environment Monitoring Return of empty RTIs Cleaning / Maintenance fml Lehrstuhl für Fördertechnik Materialfluss Logistik. Prof. Dr.-Ing. Dipl.-Wi.-Ing. W. A. Günthner. Technische Universität München 2
3 What is EPCIS? EPC Information Service (EPCIS) is an EPCglobal standard designed to enable EPC-related data sharing within and across enterprises. It is the crucial component of the EPCglobal-network (a global approach for internet of the things) and enables a useful semantic interpretation of Auto-ID data to improve supply chain transparency and visibility. Client Level: Application Application Service level: (Discovery Service/ Business Server) Information Service Level (EPCIS): Middleware Level: Device Level: Tagging Level: EPCglobal Architechture Framework fml Lehrstuhl für Fördertechnik Materialfluss Logistik. Prof. Dr.-Ing. Dipl.-Wi.-Ing. W. A. Günthner. Technische Universität München 3
4 Introduction EPCIS Event When What Where Why EPCIS Event with XML Binding <ObjectEvent> <eventtime> t10:20:25</eventtime> <epclist> <epc>urn:epc:id:grai: </epc> <epc>urn:epc:id:grai: </epc> </epclist> <action>observe</action> <readpoint> <id>urn:epc:id:sgln: </id> </readpoint> <bizstep>urn:epcglobal:epcis:bizstep:fmcg:shipping</bizstep> <bizlocation> <id>urn:epc:id:sgln: </id> </bizlocation> </ObjectEvent> Middleware EPCIS Repository Event Type Function Application areas Object Event Observation of EPCs Receiving area, Shipping area, etc. Aggregation Event aggregation of child EPCs to a parent EPC Quantity Event Counting quantity Inventory, etc. Cartons loaded onto RTIs, RTI loaded into truck, etc. Transaction Event EPCs are linked to business transaction EPCs are linked to a purchase Order, etc. fml Lehrstuhl für Fördertechnik Materialfluss Logistik. Prof. Dr.-Ing. Dipl.-Wi.-Ing. W. A. Günthner. Technische Universität München 4
5 Research Objectives Investigation and adaption of EPCIS for tracking and tracing in the food supply chain. EPCIS-events generation based on supply chain simulations. Why Simulation? Only few real-world implementations exist that can be directly examined; Simulation can be relatively easily extended for different application scenarios; Large amounts of EPCIS-Events can be generated in short time for developing and testing High-Level applications. Material flow; What are simulated? Identification points with middleware function, which serialized the reading events into EPCIS-Events with XML binding; Abnormalities such as over-threshold temperature, RTI lost, etc. Real-time transmission of EPCIS-Events into EPCIS-based repositories for developing and testing high-level applications fml Lehrstuhl für Fördertechnik Materialfluss Logistik. Prof. Dr.-Ing. Dipl.-Wi.-Ing. W. A. Günthner. Technische Universität München 5
6 Concept of Auto-ID enabled Food Supply Chain fml Lehrstuhl für Fördertechnik Materialfluss Logistik. Prof. Dr.-Ing. Dipl.-Wi.-Ing. W. A. Günthner. Technische Universität München 6
7 Key Data Elements for Supporting Tracking and Tracing Process Key data elements for tracking and tracing: Returnable transport item (RTI) GRAI (EPC) - Global Returnable Asset Identifier SSCC (EPC) - Serial Shipping Container Code Case (Carton, Colli) Product* Location Time SGTIN (EPC) - Serial Global Trade Item Number GTIN (EAN) Global Trade Item Number Lot Number Expiry Date SGLN (EPC): Serialized Global Location Number Local Time Time zone offset Encoding Schema: fml Lehrstuhl für Fördertechnik Materialfluss Logistik. Prof. Dr.-Ing. Dipl.-Wi.-Ing. W. A. Günthner. Technische Universität München 7
8 Mapping between Key Identification Processes and EPCIS-Events fml Lehrstuhl für Fördertechnik Materialfluss Logistik. Prof. Dr.-Ing. Dipl.-Wi.-Ing. W. A. Günthner. Technische Universität München 8
9 Information System EPCIS Repository Capture interface HTTP Web Service Application EPCIS-Events in XML Binding XML interface Simulation Model fml Lehrstuhl für Fördertechnik Materialfluss Logistik. Prof. Dr.-Ing. Dipl.-Wi.-Ing. W. A. Günthner. Technische Universität München 9
10 Contribution and Future Works Contribution Conceptual framework of EPCIS-based tracking and tracing in Auto-ID enabled food supply chains. Suggestions for extension fields related to product EAN code, lot number and also the temperature values for the EPCIS implementation in the frozen food chain. Development of a method for generating EPCIS-events based on supply chain simulations. Future works Development of high-level application for analyzing as well as visualizing the generated EPCIS-Events. Development of Supply Chain Event Management (SCEM) applications based on simulations. fml Lehrstuhl für Fördertechnik Materialfluss Logistik. Prof. Dr.-Ing. Dipl.-Wi.-Ing. W. A. Günthner. Technische Universität München 10
11 fml Lehrstuhl für Fördertechnik Materialfluss Logistik Prof. Dr.-Ing. Dipl.-Wi.-Ing W. A. Günthner Technische Universität München fml Lehrstuhl für Fördertechnik Materialfluss Logistik. Prof. Dr.-Ing. Dipl.-Wi.-Ing. W. A. Günthner. Technische Universität München 11
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