scholarly journals Research on a Traceability Scheme for a Grain Supply Chain

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
MiaoLei Deng ◽  
Pan Feng
Keyword(s):  
Supply Chain ◽  
Information Flow ◽  
Meat Products ◽  
Food Traceability ◽  
Traceability System ◽  
System A ◽  
Grain Flow ◽  
Import And Export ◽  
And Performance ◽  
Present Algorithm

The frequent occurrence of food safety accidents and the globalization of food import and export circulation make it very important to establish a food traceability system. Due to the bulk and low-value characteristics of grain, it is difficult to achieve traceability in a single unit like meat products; as grain has a longer supply chain, involving much more links and even more complicated factors, it is easy to cause information disconnection. In response to the above problems, this paper has done the following tasks: First, propose a RFID-based grain supply chain traceability model, which mainly describes the information flow and grain flow in the grain traceability system, and secondly, in combination with the GTIN coding standard in the GS1 system, a stage traceability code is set for each batch of grains at each link, providing a method for uniquely identifying the batch of grains at that link, to improve the accuracy of grain traceability. In addition, in order to enable consumers to inquire all the detailed information of the grain in the supply chain through a traceability code, the PRESENT algorithm and the format-preserving algorithm are used to encrypt the traceability codes of each link and generate a final traceability code. Finally, a security and performance analysis of the proposed traceability scheme was carried out. The results show that the proposed scheme is safe and effective, ensuring the safety and traceability of the traceability system of the grain supply chain.

Modeling and Optimization of Traceability System for Agriculture Products Supply Chain

2012 ◽  
Vol 605-607 ◽  
pp. 574-579 ◽  
Author(s):  
Feng Li ◽  
Ye Ping Zhu ◽  
Hua Rui Wu
Keyword(s):  
Supply Chain ◽  
Information Flow ◽  
Material Flow ◽  
Two Dimensions ◽  
Agricultural Products ◽  
Quality Data ◽  
Traceability System ◽  
Flow Information ◽  
Main Factors ◽  
Agriculture Products

As the traceability system of agricultural products supply chain has much links and complex factors, difficulty to model, a unified hierarchical model was constructed and optimized by analyzing of agricultural products supply chain from farm to plate and extracting of typical flow and main factors. The unified model has two dimensions of flow and factor, each dimension is divided into several levels. The model can describe suitably of quality flow, information flow and material flow of traceability system. The model was optimized through the analysis of quality data in traceability system. we pointed out that the agricultural products processing is the most important aspect in agricultural products supply chain.

Studies and Application of Aquatic Processing Products Supply Chain Traceability System

2009 ◽  
Vol 419-420 ◽  
pp. 861-864
Author(s):  
Hui Zhou ◽  
Li Zhen Zhang
Keyword(s):  
Supply Chain ◽  
General System ◽  
Sql Server ◽  
Sql Server 2000 ◽  
Traceability System ◽  
System A ◽  
C Programming ◽  
Function Modules ◽  
Database Technology

To effectively control and monitor the quality of aquatic products, a supply chain traceability system of multi-user and multi-authorities has been established. In this paper, current situation of traceability system was firstly introduced, and then a general system architecture, function modules, data model and encoding scheme were discussed. This system was constructed on the ASP.NET platform, using the C# programming language and SQL server 2000 database technology. Through this system, a platform was provided for exchanging information of producing, circulating and consuming among supply chain participants, products quality control on the whole chain and traceability was then achieved.

scholarly journals A Credible Food Traceability System Based on Domain Name System Security Extensions

2018 ◽  
Vol 14 (04) ◽  
pp. 111 ◽  
Author(s):  
Yi Liu ◽  
Sha Liu ◽  
Junyu Wang ◽  
Kan Qian ◽  
Yiwei Shi ◽  
...  
Keyword(s):  
Supply Chain ◽  
Food Safety ◽  
Internet Of Things ◽  
Information Service ◽  
System Security ◽  
Data Integrity ◽  
Domain Name System ◽  
Domain Name ◽  
Food Traceability ◽  
Traceability System

Food safety has drawn worldwide attention because of its enormous impact on human health and social stability. Although traceability systems based on Internet of Things (IoT) can improve the visibility of the food supply chain, the trust service is necessary to ensure the data origin and data integrity. This paper proposes a food traceability system supported by a trust service based on Domain Name System Security Extensions(DNSSEC). A DNSSEC-enabled traceability system is implemented for food safety in China. In the traceability system, the master data and event data of the products is stored in distributed databases owned and managed by the enterprises respectively in the supply chain. Enterprise oriented Internet of Things Information Service (iotIS) is an important component of the distributed traceability system. A trust service for the Internet of Things, iotTS, is proposed to guarantee the data integrity. With this service, it can be ensured that the information stored in the enterprise database is original and has never been manipulated. Lightweight public keys are distributed based on the DNSSEC in this solution. Compared with the existing solutions, the proposed solution has better scalability and credibility.

scholarly journals A Procedure for Tracing Supply Chains for Perishable Food Based on Blockchain, Machine Learning and Fuzzy Logic

Electronics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 41
Author(s):  
Zeinab Shahbazi ◽  
Yung-Cheol Byun
Keyword(s):  
Machine Learning ◽  
Fuzzy Logic ◽  
Supply Chain ◽  
Shelf Life ◽  
Manufacturing Systems ◽  
Learning Technology ◽  
Food Manufacturing ◽  
Food Traceability ◽  
Traceability System ◽  
Blockchain Technology

One of the essential points of food manufacturing in the industry and shelf life of the products is to improve the food traceability system. In recent years, the food traceability mechanism has become one of the emerging blockchain applications in order to improve the anti-counterfeiting area’s quality. Many food manufacturing systems have a low level of readability, scalability, and data accuracy. Similarly, this process is complicated in the supply chain and needs a lot of time for processing. The blockchain system creates a new ontology in the traceability system supply chain to deal with these issues. In this paper, a blockchain machine learning-based food traceability system (BMLFTS) is proposed in order to combine the new extension in blockchain, Machine Learning technology (ML), and fuzzy logic traceability system that is based on the shelf life management system for manipulating perishable food. The blockchain technology in the proposed system has been developed in order to address light-weight, evaporation, warehouse transactions, or shipping time. The blockchain data flow is designed to show the extension of ML at the level of food traceability. Finally, reliable and accurate data are used in a supply chain to improve shelf life.

A Web Application for Supply Chain Traceability

2013 ◽  
pp. 125-144 ◽  
Author(s):  
Ioannis Manikas
Keyword(s):  
Supply Chain ◽  
Web Application ◽  
Electronic Mail ◽  
The Internet ◽  
Point Of Sale ◽  
Food Traceability ◽  
Traceability System ◽  
Central Database ◽  
User Friendly ◽  
Web Platform

The efficiency of a traceability system depends on the ability to identify uniquely each unit that is produced and distributed in a way that enables the continuous tracking from the primary production to the retail point of sale. An efficient traceability system must follow some rules that define which data must be gathered and stored in each stage of the supply chain. This is achieved by standardization of the gathered data and typification of the messages that enable storing and communication of the data. This chapter presents a Web-platform that will be able to support efficiently food traceability by monitoring and administering the data gathered and recorded in a central database. This application will be user friendly and provide the ability to keep, display, and communicate information through widely implemented technologies, such as the Internet and electronic mail services.

scholarly journals Information flow in the Sino-Brazilian beef trade

2018 ◽  
Vol 21 (1) ◽  
pp. 17-38 ◽  
Author(s):  
Susanne Knoll ◽  
Antonio Domingos Padula ◽  
Mariane Crespolini dos Santos ◽  
Guilherme Pumi ◽  
Shudong Zhou ◽  
...  
Keyword(s):  
Foreign Direct Investment ◽  
Supply Chain ◽  
Information Flow ◽  
Direct Investment ◽  
Chinese Market ◽  
Essential Information ◽  
Export Sector ◽  
Traceability System ◽  
Beef Market

Considering the opportunities offered by the Chinese beef market and the fragilities in the Sino-Brazilian beef trade supply chain, this study aims to identify the main sources and channels used by Brazilian beef packers to obtain information on the Chinese market. The results reveal that the Brazilian beef packers and institutions within the export sector have little knowledge regarding the Chinese market. Neither the size nor the export experience of the beef packing firms and the foreign direct investment seem to significantly influence the quality of the knowledge they hold on the Chinese beef market. The sector has neither an integrated database containing the essential information on the Chinese market nor a unified traceability system in place that could facilitate the information flow among the agents within the beef supply chain. Consequently, firms need to dedicate substantial management resources (time, financial and human) to collect information from various sources.

scholarly journals Multimethodological Framework in the Development of Traceability Systems for Food Supply Chains

2021 ◽  
Vol 5 (1) ◽  
pp. 41-50
Author(s):  
Ivan Gunawan
Keyword(s):  
Supply Chain ◽  
Vegetable Oil ◽  
Value Chain ◽  
Food Supply ◽  
Research Question ◽  
Oil Industry ◽  
Food Supply Chain ◽  
Interpretive Structural Modeling ◽  
Food Traceability ◽  
Traceability System

Food traceability has an important role in maintaining the sustainability of the food supply chain. Every player in a food supply chain must be able to create an internal and external traceability so that the chain traceability can be formed. However, building a suitable food traceability system is not an easy task. The development of a food traceability system has been identified as a complex problem due to the difficulty of accommodating the varied characteristics of each stage in the food supply chain and the interdependence between stages in the food supply chain. Therefore, to solve these complex problems a multimethodology approach is proposed. The multimethodology approach is believed to be able to solve complex multidimensional problems. This article describes a framework for multimethodology in the development of a food traceability system that involves the integration of the Decision Making Trial and Evaluation Laboratory and Interpretive Structural Modeling (DEMATEL-ISM) and System Dynamics (SD). The vegetable oil industry which manages its products in bulk is an interesting case study for the development of a food traceability system because the upstream is in the commodity focused chain and the downstream is in the consumer driven value chain. Ultimately, the multi-methodological framework proved effective in answering the research question of "How to develop a suitable traceability system for the bulk vegetable oil industry?"

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