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

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.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rukshanda Kamran ◽  
Nasreen Khan ◽  
Balan Sundarakani

Purpose Blockchain technology offers a lot of potential benefits in supply chain management. However, there is a need of a reference model which addresses the gaps in existing frameworks. This paper aims to propose a blockchain technology-based reference model which can be applied to global logistics operations. Design/methodology/approach The researchers have integrated the fit-for-purpose theoretical framework and prototyping methodology to design the reference model, a blockchain-based logistics, tracking and traceability system (BLTTS). The researchers demonstrated the application of the reference model through a health-care supply chain case study. The proposed BLTTS can be implemented across global logistics operations for business performance improvement. Findings The research provides a framework and recommendations for global companies to consider when adopting the blockchain technology for implementation. The researchers found that the Ethereum blockchain technology improves security of the data shared within the block through the secure hashing algorithm 1. The hash algorithm ensures anonymity of the involved parties. The model integrates blockchain with supply chain thus creating transparent process, efficiency and real-time communication. Research limitations/implications The reference model will offer a better solution to global logistics operations challenges. It provides recommendations to key stakeholders involved in logistics operations segment of the logistics industry while adopting blockchain technology. Apart from the methodological limitation of the study, the system compatibility and the layer configuration aspects might be posing potential challenges while upscaling the implementation. Originality/value The proposed reference model overcomes the drawbacks of existing models as it integrates Ethereum technology. In addition, the researchers have applied the model to demonstrate its functioning in real-time environment, which could guide for future research.


2021 ◽  
Author(s):  
Martina Thume ◽  
Julia Lange ◽  
Martin Unkel ◽  
Alexander Prange ◽  
Maik Schürmeyer

Traceability has become an important aspect in supply chain management, particularly in safety-sensitive industries like food or pharmaceuticals. At the same time, blockchain arose as an innovative technology that has created excitement about its potential applications. Aim of this research paper is to analyze the requirements of the main stakeholders along the supply chain regarding a blockchain-based traceability system (BBTS). The supply chain is considered from agriculture to retail. The main result of this work is a specification framework, which consist of a supply chain process model describing activities relevant for food traceability, a collection of usage requirements formulated as data classes, a summary of technical requirements regarding data access, storage and processing, and interoperability requirements necessary to assure digital communication and permanent operability of the BBTS. Based on this, general application guidelines for digital information systems are derived and the blockchain technology is evaluated with regard to its potential in meeting requirements and challenges. A distinction between public and sensitive data appears to be necessary to assure traceability and trust in the supply chain. A two-part architecture involving a public permissioned blockchain network is proposed as the most promising basis for a digital traceability system in the food industry.


2021 ◽  
Vol 12 (3) ◽  
pp. 232-238
Author(s):  
Resista Vikaliana ◽  
Raja Zuraidah Raja Mohd Ras ◽  
I Nyoman Pujawan ◽  
Irwansyah

Fruits are easily damaged, therefore, a tracing system is needed to ensure the commodity is well received by consumers.  This study is a systematic review aims to  identify areas where the fruits traceability provides the most value for supply chain management and  to develop elements of a future research agenda for the fruits traceability in supply chain management.  PRISMA or Preferred Reporting Items for Systematic Reviews and Meta-Analyses is used to help the systematic literature review.  The result showed thad there are several values ​​in applying traceability to the fruit supply chain, such as traceability guarantees the quality of fruit in the supply chain, traceability protects from fraud.  Traceability will help increase consumer confidence in food safety, particularly on fruit.  Blockchain technology  is a promosing technology for a   traceability system in industry and can be used successfully, by modifying the supply chain system and meeting the limitations first.


2018 ◽  
Vol 11 (4) ◽  
pp. 218-247 ◽  
Author(s):  
Abderahman Rejeb

Recently, Halal food has drawn remarkable attention of many consumers around the world. Besides to being unsafe, Halal food such as meat can encounter several issues throughout its supply chain and logistics. At any time, Halal integrity is not guaranteed and risks of becoming non-Halal is the major concern of all parties along the supply chain. To respond to Muslim consumers’ trust concerns in Halal food, many traceability systems were proposed in previous studies based on emerging technologies and  recommended to be incorporated into Halal food supply chains. Nevertheless, all of these systems are centralized, opaque and not enough transparent. To mitigate these problems, blockchain technology is introduced as a ground-breaking innovation with greater decentralization, visibility and transparency. This paper makes a major contribution in suggesting Halal meat supply chain traceability system for real-time food tracing based on embedding Islamic dietary law into HACCP, blockchain and Internet of Things.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
MiaoLei Deng ◽  
Pan Feng

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.


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