Traceability issues in food supply chain management: A review

Dabbene, Fabrizio; Tortia, Cristina

doi:10.1016/j.biosystemseng.2013.09.006

Cited by 316 publications

(209 citation statements)

References 83 publications

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“…A traceability system provides track and trace for the complete food information, thereby guaranteeing food quality and safety [19,20]. Manzini and Accorsi (2013) proposed conceptual framework for food supply chain which simultaneously control the quality, safety, sustainability, and logistics efficiency of food products and processes along the whole food supply chain [21].…”

Section: Monitoring System In Food Supply Chainmentioning

confidence: 99%

Real-Time Monitoring System Using Smartphone-Based Sensors and NoSQL Database for Perishable Supply Chain

2017

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Abstract:Since customer attention is increasing due to growing customer health awareness, it is important for the perishable food supply chain to monitor food quality and safety. This study proposes a real-time monitoring system that utilizes smartphone-based sensors and a big data platform. Firstly, we develop a smartphone-based sensor to gather temperature, humidity, GPS, and image data. The IoT-generated sensor on the smartphone has characteristics such as a large amount of storage, an unstructured format, and continuous data generation. Thus, in this study, we propose an effective big data platform design to handle IoT-generated sensor data. Furthermore, the abnormal sensor data generated by failed sensors is called outliers and may arise in real cases. The proposed system utilizes outlier detection based on statistical and clustering approaches to filter out the outlier data. The proposed system was evaluated for system and gateway performance and tested on the kimchi supply chain in Korea. The results showed that the proposed system is capable of processing a massive input/output of sensor data efficiently when the number of sensors and clients increases. The current commercial smartphones are sufficiently capable of combining their normal operations with simultaneous performance as gateways for transmitting sensor data to the server. In addition, the outlier detection based on the 3-sigma and DBSCAN were used to successfully detect/classify outlier data as separate from normal sensor data. This study is expected to help those who are responsible for developing the real-time monitoring system and implementing critical strategies related to the perishable supply chain.

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Section: Monitoring System In Food Supply Chainmentioning

confidence: 99%

Real-Time Monitoring System Using Smartphone-Based Sensors and NoSQL Database for Perishable Supply Chain

2017

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“…Most of the previous research found on traceability systems tends to focus on traceability either in the transportation process or in the retailing process, thereby largely neglecting to investigate the value of traceability from a supply chain framework. It has been pointed out that a traceability system should be discussed and implemented at the entire supply chain and that the activities of all participants should be synchronized to realize its greatest benefits [14]. Hence, we consider a two-level supply chain consisting of a supplier and a retailer, and evaluate the value of traceability in both the transportation process and the retailing process.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Its technology is based on wireless communication between a tag attached to an object (RFID tag) and an interrogator (RFID reader) [13]. The RFID tags embed specific sensors (such as temperature, humidity) that enable the automatic capture of related data that are critical to the quality and the safety of food (such as history of temperature, humidity, and time period), thus providing the managing system with a real-time description of the state of the perishable food [14]. Using the RFID monitoring system, the operator can make decisions to prevent damage when something abnormal occurs during the transportation process, such as withdrawal of non-consumable food and avoidance of traffic jams [15].…”

Section: Introductionmentioning

confidence: 99%

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

Zhu¹

2017

Sustainability

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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.

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“…Estes fatores são cruciais por uma série de razões, pois permitem: (i) que o consumidor obtenha informações sobre os processos de produção e transporte, além da origem dos produtos; (ii) que os diferentes agentes na cadeia possam monitorá-la, identificando possíveis falhas e corrigindo-as a tempo de minimizar os impactos na CS e na saúde de seus consumidores; e (iii) que produtos defeituosos sejam identificados e rastreados ao longo da cadeia, de maneira inversa ao fluxo normal de produtos, para localizar em que pontos ocorreram falhas e como estas podem ser corrigidas (GOLAN et al, 2004;TORTIA, 2014).…”

Section: Motivação E Justificativaunclassified

Sistema de rastreabilidade para granéis sólidos agrícolas: o caso do açúcar.

Silva¹

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Food contamination events in the past decades have resulted in an increase of the agroindustrial supply chain consumers' traceability demands. Some of these demands became product import regulations. Traceability is related to product monitoring throughout the supply chain, allowing for the identification of critical quality control points. Currently, the supply chains of bulk agricultural products exported by Brazil have serious traceability problems: lot mixing; product theft; increase in the demand for information related to quality, origin, and processes; difficulty in identifying specific lots in the case of recalls; and lack of automatic and real time systems. The main objective of this research was to develop a traceability model for these chains which allowed for real-time data gathering and information access by its links. The methodology used was divided into four stages: systematic literature review, information gathering, traceability model development, and theoretical simulation model development. The aspects analyzed were related to cost, impact of regulating bodies, implementation bottlenecks, and criteria to be used to adapt the model to other chains. Due to its importance, the sugar supply chain was used as a case study. An analysis of the technologies available led to the choice of radiofrequency identification, because it facilitates monitoring product movement, besides wireless sensor networks, which will monitor the environmental variables in the product surroundings. If anomalies in relation to pre-established limits are detected, an alert signal will be sent to the agents in charge, allowing them to make decisions.The main contributions of this research are: the traceability model developed and the factors that have to be considered during its implementation, and the conceptual simulation model developed to estimate its impacts in terms of cost, time, and error frequency, in comparison to the current situation.

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Traceability issues in food supply chain management: A review

Cited by 316 publications

References 83 publications

Real-Time Monitoring System Using Smartphone-Based Sensors and NoSQL Database for Perishable Supply Chain

Real-Time Monitoring System Using Smartphone-Based Sensors and NoSQL Database for Perishable Supply Chain

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

Sistema de rastreabilidade para granéis sólidos agrícolas: o caso do açúcar.

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