Managing the food supply chain in the age of digitalisation: a conceptual approach in the fisheries sector

Mondragón, Adrián E. Coronado; Mondragon, Christian E. Coronado; Coronado, Etienne S.

doi:10.1080/09537287.2020.1733123

Cited by 36 publications

(28 citation statements)

References 39 publications

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“…Table 1 illustrates that RFID-based traceability solutions have been implemented for several categories of catch or fresh fish, from production to consumptions (fresh fish, live fish, cod, or tuna fish). These results indicate that RFID-based applications in catch fish SCM system have provided various benefits, such as temperature alerts, visibility from production to sale, conventional traceability tools, no requirement to engage the human workforce, reduced contamination levels, and, most importantly, the possibility to read the information on many tags at the same time, thus maximizing business opportunities [43][44][45][46][47]. However, few drawbacks have been found for these proposed systems.…”

Section: Discussionmentioning

confidence: 99%

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Traceability of Sustainable and Safe Fisheries Supply Chain Management Systems using Radio Frequency Identification Technology

Rahman¹,

Alam²,

Marufuzzaman³

et al. 2021

Preprint

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At present, sustainability and emerging technology are the most expressed issues in any supply chain management (SCM) sector. At the same time, pandemic makes consumers more concerned regarding health, and safe food with a sustainable way to access the current market. Thus, supervision and monitoring of product quality with symmetric traceability information in fresh food and fisheries SCM is significant. Research on food safety and traceability systems based on blockchain, internet of service (IoT), wireless sensor networks (WSN), and radio frequency identification (RFID) provides the solution of constancy from production to consumption. This review focused on the RFID-based traceability systems in fisheries SCM, which have been employed globally in the last fifteen years to ensure fish quality and security. Additionally, a summarized comparison study has presented different sectors’ traceability systems using RFID and their advantages over real-time applications. The outcome of this study will help future researchers to solve the crisis in terms of trust between consumers and the fisheries SCM. Thus, this review would be a guideline and solution for enhancing the reliability of RFID-based traceability in food SCM systems to ensure the integrity and reducing the opacity and asymmetry in the product information.

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Section: Discussionmentioning

confidence: 99%

“…However, few drawbacks have been found for these proposed systems. In the case of fresh fish traceability, the involvement of the blockchain would provide higher reliability of the collected information [43]. In addition, unstable and imprecise live fish survivability monitoring and controlling has been observed [44].…”

Section: Discussionmentioning

confidence: 99%

Traceability of Sustainable and Safe Fisheries Supply Chain Management Systems using Radio Frequency Identification Technology

Rahman¹,

Alam²,

Marufuzzaman³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…To enhance the functionalities of traceability systems, an existing system may serve as a grounded technological framework that is integrated with other devices to upgrade its functions instead of switching to the adoption of an entirely new technology. RFID's dominance as an underlying technology is due to its ability to be integrated with other traceability technologies, such as DNA and barcodes, as well as sensory devices such as: Time Temperature Indicators (TTI); electronic data-interchange (EDI); the internet-of-things (IoT); and global positioning systems (GPS) (Mai et al 2010;Musa, Gunasekaran, and Yusuf 2014;Bradley et al 2018;George et al 2019;Coronado Mondragon, Coronado Mondragon, and Coronado 2021). Therefore, RFID technology can be integrated with sensors to solve its lack of logic and sensor functionality (Papert, Rimpler, and Pflaum 2016).…”

Section: Rfidmentioning

confidence: 99%

Supply chain traceability: a review of the benefits and its relationship with supply chain resilience

Razak

Hendry

Stevenson

2021

Production Planning & Control

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There has been considerable recent growth in supply chain (SC) traceability research due to increased Industry 4.0 solutions and the potential of traceability systems to enable SCs to bounce back from a crisis, thereby having a long-term impact on firm/SC performance. However, to date, the relationship between SC traceability and SC Resilience (SCRes) has not been fully explored. Using a systematic literature review, this paper first provides a comprehensive state-of-the-art understanding of traceability to enable an appreciation of the inherent benefits of its implementation and its role in the improvement of SCRes. Building on this understanding, a conceptual framework is developed showing that there is a direct relationship between traceability benefits, such as improved risk awareness, and SCRes. The framework also demonstrates indirect relationships between these benefits and four enablers of SCRes: flexibility, velocity, visibility and collaboration. Finally, a future research agenda is proposed, including further development of this conceptual framework.

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“…Many types of data that were previously inaccessible or inaccurate due to economic or technical reasons become available and reliable. Examples include massive data on traffic conditions from sensors (Li et al 2015), massive data on speed in urban areas (Ehmke, Campbell, and Thomas 2016), and networked sensor data (Li and Wang 2017;Coronado Mondragon, Coronado Mondragon, and Coronado 2020). Readers are referred to Viet, Behdani, and Bloemhof (2018a) for an extensive review on the impact of information characteristics on the value of information in supply chain decision-making.…”

Section: The Multi-level Framework From the Data-information-decisionmentioning

confidence: 99%

Value of data in multi-level supply chain decisions: a case study in the Dutch floriculture sector

Viet

Behdani

Bloemhof-Ruwaard

et al. 2020

International Journal of Production Research

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While many supply chain decisions could take advantage of big data, firms struggle with investments into supply chain analytics since they are not able to assess the application areas and benefits of these initiatives. In this paper, we provide a multi-level perspective to assess the value of supply chain data. We develop a framework that highlights the connections between data characteristics and supply chain decisions with different time horizons (i.e. short-or long-term) as well as different supply chain levels (i.e. individual-firm level or supply-chain level). As data gets more complex in one or more of the 4 V dimensions (i.e. volume, variety, velocity, veracity), firms must assess how to best take advantage of the opportunities offered. We use the Dutch floriculture sector as a case study for our framework in which we highlight four data analytics applications to improve logistics processes. In the applications, we demonstrate how the data is used to support the decisions at different time horizons and supply-chain levels. We find that each of the big data's Vs is required differently according to the decisions' characteristics. Based on the findings, applications in other industries and promising directions for future research are discussed.

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Managing the food supply chain in the age of digitalisation: a conceptual approach in the fisheries sector

Cited by 36 publications

References 39 publications

Traceability of Sustainable and Safe Fisheries Supply Chain Management Systems using Radio Frequency Identification Technology

Traceability of Sustainable and Safe Fisheries Supply Chain Management Systems using Radio Frequency Identification Technology

Supply chain traceability: a review of the benefits and its relationship with supply chain resilience

Value of data in multi-level supply chain decisions: a case study in the Dutch floriculture sector

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