Development Of Traceability System Research Articles

Research on Comprehensive Control and Traceability Management of Food Cold Chain Transportation

With the rapid development of economic globalization and cross-border e-commerce, the food import and export trade has encountered growth opportunities. Meanwhile, food safety has gained increasing attention from consumers worldwide. Most food products require cold chain transportation. However, in recent years, various safety hazards have emerged in the process of food cold chain logistics, with disruptions and food spoilage causing significant waste. Ensuring the safety and traceability of the entire food cold chain has become a critical factor limiting its development. This paper proposes strategies for the development of food cold chains, including the establishment of a comprehensive standard system, promoting orderly development of traceability systems, and enhancing traceability supervision platforms to achieve transparency in food cold chain safety.

Tecnología blockchain aplicada en la medicina: una revisión sistemática

Objective: Develop an articles review to evaluate the existing evidence on blockchain technology applied in medicine. Methods: The study was of a documentary type, bibliographic design, framed in a systematic review. The harvest of articles was carried out in the Scopus, Web of Sciences, Pro Quest and ScienceDirect databases from January 1, 2018 to July 31, 2023. The descriptors were blockchain, technology and medicine. The PRISMA diagram was prepared considering the inclusion criteria: original articles, with open access; that address the subject and in any language. The search yielded 70 articles, of which 11 formed the sample. Results: The various applications of blockchain technology in medicine were discussed, including its integration with artificial intelligence (AI) for data-centric analysis; regarding the development of traceability systems, however, its greatest applicability is in the registration of medical records of patients, whose application was successful. Despite this, its incipient use in medicine was verified due to the lack of studies in this regard. Conclusions: The application of blockchain technology in medicine is very scarce, despite the potential it has for the registration and safeguarding of medical data, therefore, its study should be deepened.

Monitoring Compositional Changes in Black Soldier Fly Larvae (BSFL) Sourced from Different Waste Stream Diets Using Attenuated Total Reflectance Mid Infrared Spectroscopy and Chemometrics.

Black soldier fly (Hermetia illucens, L.) larvae are characterized by their ability to convert a variety of organic matter from food waste into a sustainable source of food (e.g., protein). This study aimed to evaluate the use of attenuated total reflectance (ATR) mid-infrared (MIR) spectroscopy to monitor changes in the composition as well as to classify black soldier fly larvae (BSFL) samples collected from two growth stages (fifth and sixth instar) and two waste stream diets (bread and vegetables, soy waste). The BSFL samples were fed on either a soy or bread-vegetable mix waste in a control environment (temperature 25 °C, and humidity 70%). The frass and BSFL samples harvested as fifth and sixth instar samples were analyzed using an ATR-MIR instrument where frequencies at specific wavenumbers were compared and evaluated using different chemometric techniques. The PLS regression models yield a coefficient of determination in cross-validation (R2) > 0.80 for the prediction of the type of waste used as diet. The results of this study also indicated that the ratio between the absorbances corresponding to the amide group (1635 cm−1) and lipids (2921 + 2849 cm−1) region was higher in diets containing a high proportion of carbohydrates (e.g., bread-vegetable mix) compared with the soy waste diet. This study demonstrated the ability of MIR spectroscopy to classify BSFL instar samples according to the type of waste stream used as a diet. Overall, ATR-MIR spectroscopy has shown potential to be used as tool to evaluate and monitor the development and growth of BSFL. The utilization of MIR spectroscopy will allow for the development of traceability systems for BSFL. These tools will aid in risk evaluation and the identification of hazards associated with the process, thereby assisting in improving the safety and quality of BSFL intended to be used by the animal feed industry.

Development of Traceability System for Seafood Supply Chains in Malaysia

Development of Traceability System for Seafood Supply Chains in Malaysia

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

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?"

Accurate Identification of Agricultural Inputs Based on Sensor Monitoring Platform and SSDA‐HELM‐SOFTMAX Model

The unreliability of traceability information on agricultural inputs has become one of the main factors hindering the development of traceability systems. At present, the major detection techniques of agricultural inputs were residue chemical detection at the postproduction stage. In this paper, a new detection method based on sensors and artificial intelligence algorithm was proposed in the detection of the commonly agricultural inputs in Agastache rugosa cultivation. An agricultural input monitoring platform including software system and hardware circuit was designed and built. A model called stacked sparse denoising autoencoder‐hierarchical extreme learning machine‐softmax (SSDA‐HELM‐SOFTMAX) was put forward to achieve accurate and real‐time prediction of agricultural input varieties. The experiments showed that the combination of sensors and discriminant model could accurately classify different agricultural inputs. The accuracy of SSDA‐HELM‐SOFTMAX reached 97.08%, which was 4.08%, 1.78%, and 1.58% higher than a traditional BP neural network, DBN‐SOFTMAX, and SAE‐SOFTMAX models, respectively. Therefore, the method proposed in this paper was proved to be effective, accurate, and feasible and will provide a new online detection way of agricultural inputs.

露地蔬菜质量安全追溯系统的研发

露地蔬菜质量安全追溯系统的研发

Traceability information modeling and system implementation in Chinese domestic sheep meat supply chains

AbstractTraceability has become a prerequisite for ensuring meat quality and safety. It is the most critical requirement for developing a well‐structured traceability system to identify efficiently and model the traceability information need to be captured. This article identified Chinese domestic sheep meat supply chain and proposed the Petri nets and UML based modeling approach for identified traceability information and process. This approach followed the definition of state and transition in sheep meat production process. An in‐depth analysis was conducted for the sheep stakeholders and production flow of the sheep meat chain. The state‐transition for the production process and specific traceability information need to be captured were identified including the product, process, quality, and transformation information. Furthermore, traceability functionality requirement and system architecture were presented. System evaluation results illustrate the model can help to provide guidance for standardizing meat product flow and supporting quality traceability management in meat industry. The system can provide making‐decision for the meat product quality and safety control.Practical applicationsThe proposed method could be applied widely in development of traceability system and provided making‐decision for the control of meat product quality and safety.

Economic Analysis of a Traceability System for a Two-Level Perishable Food Supply Chain

Food waste stemmed from food contamination and ineffective quality control is a significant challenge to food management. Supply chain traceability has become an essential task of the food industry for guaranteeing food quality and safety and reducing food waste. Radio Frequency Identification (RFID) has emerged as a lead technology in the development of traceability systems, which enable automatically capturing of food information along the supply chain. However, the significant investment cost has been a major obstacle in the diffusion of traceability systems in the food industry. This study conducts a cost-benefit analysis of a RFID-enabled traceability system for a two-level perishable food supply chain, which consists of an upstream supplier and a downstream retailer. Consumer perceptions of food quality and safety are jointly considered when evaluating the value of a traceability system. The optimal decisions of the supply chain participants are derived in both centralized and decentralized systems, in terms of wholesale price, order quantity, price markdowns, and granularity level of the traceability system. The results show that a dynamic pricing policy supported by the traceability system could significantly reduce food waste and improve the retailer’s performance. We further propose a two-part tariff contract to coordinate the supply chain and to distribute benefits and costs of the traceability system between supply chain participants. This study demonstrates that a well-developed traceability system could significantly improve the supply chain performance and become a profitable investment for the food industry.

A fully yarn integrated tag for tracking the international textile supply chain

Textile and clothing industry is one of the classical manufacturing industries which have recently undergone major transformations due to delocalization and high market volatility. In this context, one solution to guarantee the control and optimization of globalized supply chain is the implementation of a traceability system to follow-up the activities of different actors of the supply chain, improve brand value by countering pirate and enhance value creation in reverse supply chain. Therefore, in this paper, we first introduce the idea of fully integrated tracking tags for casting traceability in the textile. Then, as one stage of the traceability system development, we describe a yarn coding scheme to transform a textile structure into a tracking tag. Here, a number of special yarns were coded according to various combinations of optical characteristics. Further, a recognition system was developed for identifying the unique identification yarn code by using different image analysis techniques.

The Economics and Feasibility of Traceability in Agri-Food Supply Chain: Analysis with Game Theory between Double Oligarchs

Traceability is a useful approach to reduce information asymmetry and control food safety risks in agri-food supply chain. However at the present stage where development of traceability system in China is not mature, food processors have to take high investment of traceability and benefits into consideration in economic aspect. The paper builds a game-theoretic model to analyze the economic value and feasibility of traceability in agri-food supply chain. It is found that there may be different situations in which the game equilibrium outcomes between two processors are different. However, if the government intervenes, it is shown that government can take action to guide the game equilibrium to the result that both the processors will implement traceability voluntarily.

International cattle ID and traceability: Competitive implications for the US

Global standards for animal identification and traceability are evolving rapidly. Major world animal health, trade, and food safety organizations have formally recognized the importance of, and actively promoted, animal identification and traceability system development. Advanced animal traceability systems have been deployed by major beef exporters and are increasingly being adopted by important beef importing countries. This study summarizes and compares animal identification systems across major export and import countries. Results reveal that the United States lags behind both major export and import countries in development and adoption of cattle identification and tracing systems. As such, the United States has placed itself in a vulnerable position relative to competing export countries with respect to demonstrated animal traceability. This status could adversely affect market access in the future for US beef exports.

Traceability as part of competitive strategy in the fruit supply chain

PurposeThe paper aims to focus on traceability as part of information management in the fruit supply chains of Emilia‐Romagna, Italy. A review of the rules in use for traceability distinguishes between baseline traceability and traceability plus (T+), which encompasses many further embedded value attributes.Design/methodology/approachThe paper takes the form of a qualitative study involving in‐depth interviews with key informants in the Italian fresh produce chain.FindingsFindings are discussed in terms of different themes including identification of three distinct types of supply chains and the impact upon them and categorisation of traceability systems across the different chains. Identified are the impact of information systems management; purchasing management; product management transaction costs; and co‐ordination issues.Research limitations/implicationsThe study's findings are based on Italian fresh produce traceability context only.Practical implicationsElements of competitive strategy are considered in the analysis of fruit supply chains of Emilia‐Romagna, to demonstrate that not only strategic, but also operative choices determine the way a single firm or supply network manages traceability and information issues. Applications of such elements to buyer and seller selection as well as to competing retailers of the fruit supply chain, verify the hypothesis.Originality/valueThe paper adds to the body of knowledge surrounding prior studies on the development of traceability systems and develops further the analysis of legal and value‐adding dimensions of traceability.

A Study of the development of traceability systems in supply chain

A Study of the development of traceability systems in supply chain

SUPPLY CHAIN MANAGEMENT AND TRACEABILITY IN PORK CHAINS: THE BELGIAN AND SOUTH AFRICAN CASE

Consumer concerns about meat safety have led to an increased demand for information and transparency in food chains, and have acted as the major drivers for the development of traceability systems. This note focuses on the current and future role of supply chain management and traceability in Belgian and South African pork chains. The state of the art related to traceability is briefly reviewed and illustrated with the specific situation and recent developments in Belgium and South Africa. The background and evolution in both countries are similar, though occurring with some time lag. It is found that organisational and operational aspects of traceability are clearly dealt with. However, questions remain with respect to the management of information flows and the pro-active, instead of defensive use of traceability. Key attention points for future success in livestock production chains pertain to market orientation, claimed benefit substantiation and effective management of information flows.

The Emerging Role of Traceability and Information in Demand-Oriented Livestock Production

Consumer concerns about food safety in general and meat safety in particular have led to an increased demand for information and transparency in food chains, and acted as the major driver for the development of traceability systems. This paper focuses on the current and future role of traceability in demand-oriented meat and livestock production. Consumer demand for information is taken as the starting point. Information about and practice relating to traceability are reported and illustrated from historical and current experience in Belgium. It was found that organizational and operational aspects of traceability were clearly dealt with. However, questions remain with respect to the management of information flows and the proactive, rather than defensive use of traceability realizations. Key points for future success in livestock production chains pertain to market orientation, substantiation of claimed benefit and effective management of information flows.