Ensuring the visibility and traceability of items through logistics chain of automotive industry based on AutoEPCNet Usage

Traceability in logistics is the capability of the participants to trace the products throughout the supply chain by means of either the product and/or container identifiers in a forward and/or backward direction. In today's competitive economic environment, traceability is a key concept related to all products and all types of supply chains. The goal of this paper is to describe development of application that enables to create and share information about the physical movement and status of products as they travel throughout the supply chain. The main purpose of this paper is to describe the development of RFID based track and trace system for ensuring the visibility and traceability of items in logistics chain especially in automotive industry. The proposed solution is based on EPCglobal Network Architecture

Benefits through Utilising EPC Network Components in Service‐Oriented Environments – an Analysis Using the Example of the Food Industry

Improvements in the food sector imply enhancements of delivering food which is safe, affordable, readily available, and of the quality and diversity consumers expect. However, prevalent information systems (IS) of companies in the food industry are not ready to support further significant improvements. They especially lack the capability to exchange relevant information in an efficient manner. Since recently, two major developments can be observed from IS perspective: the spreading of service-oriented architectures (SOA) as well as an increase in mass serialization (due to public and private traceability requirements, e.g.). So far, though most important due to food safety, a growing need to become more efficient as well as an increasing information demand of consumers, the food sector has attracted little attention in literature concerning an analysis about the potential of both service-orientation and the Electronic Product Code (EPC) Network. This is why this paper will investigate to which extent these two developments can contribute to facilitate food companies’ IS helping them to maintain their competiveness. As a starting point, the research paper will depict the state of the art including SOA and the EPC Network. After describing the research approach, it will proceed with a characterisation of the food sector including an examination why there is need for action. Based on current research findings as well as experience gathered in recent projects, the paper will investigate the application of the EPC Network with its three major components, i. e. EPCIS (EPC Information Services), ONS (Object Name Service) and the EPC Discovery Services, as part of future IS architectures in this sector. The paper will close with a discussion whether the envisioned IS architecture is appropriate to accomplish the previously identified challenges and requirements in the food sector in a more agile, efficient and effective way. What is more, it will highlight the most pressing challenges and provide an outlook as to the following steps of the research

A new framework for the management of returnable "containers" within open supply networks

International audienceNew logistics models – physical internet, pooling, control towers, re-usable containers management – require an item-level traceability of physical shipping units that is independent of the partners involved in the supply chains. Current information systems architectures match this need by interfacing heter-ogeneous systems with each other. Such architecture can't meet the challenges brought by new and shared logistics models. We demonstrate here how the re-cent EPCglobal® standards and related technologies are settled in a multi-firm open network, applied to the management of reusable pallets, taken here as de-monstrators of Open Tracing Containers (OTC). Material and methods for cap-turing data and structuring information are proposed and implemented in the Fast Moving Consumer Goods flows. Results illustrate the reach of that "Intra-net of things" prototype, leading to interoperable logistic services, throughout various levels: from identifier tag level up to the piloting of each partner's lo-gistics networks. We highlight limits and perspectives in terms of technical track and trace solutions and assets management in this environment

Valuation of online social networks - An economic model and its application using the case of Xing.com

Ubiquitous information technologies like RFID allow for immediate, extensive and fine-grained capture of real world information. Scalable and efficient networks for exchange of this vast amount of information amongst companies are crucial for the economic exploitation of benefits of ubiquitous information technologies. Existing networks bear several limitations like risks of single-point-offailures or bottlenecks, unequally distributed power and burdens as well as inflexibility through stringent structures and formats. In particular there is a need for improving the scalability of solutions and ensuring autonomy of network participants. In this paper we introduce a Peer-to-Peer-based architecture for exchanging distributed information, which are shared among participants of a supply chain facilitated with ubiquitous information technologies. This architecture builds on the wellestablished EPCglobal standards, but can be implemented as an autonomous network. Unlike other architectures it does not need central coordination mechanisms, because it is based on self-organizing Peer-to-Peer protocols. We argue that our architecture supports business processes especially of small and medium-sized enterprises better than other architectures. We provide a discussion about requirements for solutions and a simulation-based analysis of the proposed architecture

Estimating Data Volumes of RFID-enabled Supply Chains

The widespread application of RFID tags in supply chains is said to cause enormous data volume problems and thus unprecedented challenges for systems and infrastructures. In order to unleash the potential of item-level RFID applications, such as data sharing and discovery across company boundaries, an unbiased understanding of emerging data volumes is necessary. However, quantitative data that provides factual argument is still scarce. Therefore, we present a simulation study based on a real-world scenario that reveals quantitative characteristics of the data volumes problem in an RFID-enabled supply chain and discuss its implications. Our results suggest that data volumes will be much lower than currently anticipated, but still bear significant challenges for researchers and developers of RFID infrastructures

An RFID-Based Tracing and Tracking System for the Fresh Vegetables Supply Chain

The paper presents an innovative gapless traceability system able to improve the main business processes of the fresh vegetables supply chain. The performed analysis highlighted some critical aspects in the management of the whole supply chain, from the land to the table of the end consumer, and allowed us to reengineer the most important processes. In particular, the first steps of the supply chain, which include cultivation in greenhouses and manufacturing of packaged vegetables, were analyzed. The re-engineered model was designed by exploiting the potentialities derived from the combined use of innovative Radio Frequency technologies, such as RFID and NFC, and important international standards, such as EPCglobal. The proposed tracing and tracking system allows the end consumer to know the complete history of the purchased product. Furthermore, in order to evaluate the potential benefits of the reengineered processes in a real supply chain, a pilot project was implemented in an Italian food company, which produces ready-to-eat vegetables, known asIV gammaproducts. Finally, some important metrics have been chosen to carry out the analysis of the potential benefits derived from the use of the re-engineered model

Extended food supply chain traceability with multiple automatic identification and data collection technologies.

Hu, Yong.Thesis submitted in: October 2007.Thesis (M.Phil.)--Chinese University of Hong Kong, 2008.Includes bibliographical references (p. 127-129).Abstracts in English and Chinese.Chapter Chapter 1. --- Introduction --- p.1Chapter 1.1. --- Background and Motivation --- p.1Chapter 1.2. --- Objectives of the Thesis --- p.3Chapter 1.3. --- Scope of the Thesis --- p.6Chapter 1.4. --- Structure of the Thesis --- p.6Chapter Chapter 2. --- Review of Related Technologies --- p.8Chapter 2.1. --- Scope and Requirements of the Supply Chain Traceability --- p.9Chapter 2.2. --- Automatic Identification and Data Collection Technologies --- p.14Chapter 2.2.1. --- Introduction to the AIDC Technologies --- p.14Chapter 2.2.1.1. --- The Barcode --- p.14Chapter 2.2.1.2. --- The Radio Frequency Identification (RFID) --- p.17Chapter 2.2.1.3. --- The Sensors for Food --- p.19Chapter 2.2.1.4. --- The Global Positioning System (GPS) --- p.23Chapter 2.2.2. --- Frequencies of the RFID Systems --- p.25Chapter 2.2.3. --- Encoding Mechanisms for the RFID Tags and Barcode Labels --- p.30Chapter 2.3. --- Standards and Specifications of the EPCglobal --- p.34Chapter 2.3.1. --- The EPCglobal Architecture Framework --- p.34Chapter 2.3.2. --- The EPCglobal EPCIS Specification --- p.39Chapter 2.3.3. --- The EPCglobal Tag Data Standards --- p.42Chapter 2.4. --- RFID Applications in Food Supply Chain Management --- p.43Chapter 2.5. --- Anti-counterfeit Technologies and Solutions --- p.45Chapter 2.6. --- Data Compression Algorithms --- p.47Chapter 2.7. --- Shelf Life Prediction Models --- p.49Chapter Chapter 3. --- Architecture and Scope of the Application System --- p.54Chapter 3.1. --- Application System Architecture --- p.54Chapter 3.2. --- Application System Scope --- p.55Chapter Chapter 4. --- The Tracking and Tracing Management Module --- p.60Chapter 4.1. --- Overview --- p.60Chapter 4.2. --- AIDC Technologies Adopted for the Traceable Items --- p.62Chapter 4.3. --- Mechanism to Achieve the Nested Visibility --- p.70Chapter 4.4. --- Information Integration in the EPCIS --- p.75Chapter 4.5. --- Anti-counterfeit Mechanism --- p.82Chapter Chapter 5. --- The Storage and Transportation Monitoring Module --- p.90Chapter 5.1. --- Overview --- p.90Chapter 5.2. --- Compression of the Sensor Data --- p.93Chapter 5.3. --- Management of the Sensor Data --- p.95Chapter 5.4. --- Responsive Warning Mechanism --- p.102Chapter Chapter 6. --- The Sensor Networks Enabled Assessment Module --- p.108Chapter 6.1. --- Overview --- p.108Chapter 6.2. --- Management of the Sensor Network Data --- p.110Chapter 6.3. --- Active Warning Mechanism --- p.114Chapter Chapter 7. --- Conclusions --- p.122Chapter 7.1. --- Contributions --- p.122Chapter 7.2. --- Future Work --- p.12