On the linkages between traceability levels and expected and actual traceability costs and benefits in the Italian fishery supply chain

Asioli, Daniele; Boecker, Andreas; Canavari, Maurizio

doi:10.1016/j.foodcont.2014.04.048

Cited by 53 publications

(45 citation statements)

References 21 publications

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“…These customers can receive fish at landings or directly from primary processors, secondary processors or wholesalers. Customers include; auction markets, wholesalers, consumers, international or national retail chains and food service companies (Asioli et al 2014;Avadí et al 2014). Collectors and auction markets are used for the first hand sales where there is high potential for batch mixing from several fishermen, which is then split among buyers (Jensen et al 2010).…”

Section: Marketmentioning

confidence: 99%

The seafood supply chain from a fraudulent perspective

Mitchell²,

et al. 2018

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Food fraud is an intentional act for economic gain. It poses a risk to food integrity, the economy, public health and consumers' ethics. Seafood is one commodity which has endured extensive fraudulent activity owing to its increasing consumer demand, resource limitations, high value and complex supply chains. It is essential that these fraudulent opportunities are revealed, the risk is evaluated and countermeasures for mitigation are assigned. This can be achieved through mapping of the seafood supply chains and identifying the vulnerability analysis critical control points (VACCP), which can be exposed, infiltrated and exploited for fraudulent activity. This research systematically maps the seafood supply chain for three key commodities: finfish, shellfish and crustaceans in the United Kingdom. Each chain is comprised of multiple stakeholders across numerous countries producing a diverse range of products distributed globally. For each supply chain the prospect of fraud, with reference to species substitution, fishery substitution, illegal, unreported and unregulated substitution, species adulteration, chain of custody abuse, catch method fraud, undeclared product extension, modern day slavery and animal welfare, has been identified and evaluated. This mapping of the fraudulent opportunities within the supply chains provides a foundation to rank known and emerging risks and to develop a proactive mitigation plan which assigns control measures and responsibility where vulnerabilities exist. Further intelligence gathering and management of VACCPs of the seafood supply chains may deter currently unknown or unexposed fraudulent opportunities.

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Section: Marketmentioning

confidence: 99%

The seafood supply chain from a fraudulent perspective

Mitchell²,

et al. 2018

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“…The average probability of finding neither BSSIDs in the LocationAPI database, nor in the WiGLE database, of a combination of WAP seen at one of the 36 locations is 1.9%. This is calculated as in Equation (2). A graph of the probability of finding neither BSSIDs in the combination of databases is shown in Figure 6.…”

Section: Combination Of Wigle and Locationapimentioning

confidence: 99%

“…The location of an asset at a given time is an important piece of information in supply chain management [1][2][3]. Hillbrand and Schoech [4] divide tracking and tracing of assets into two categories: discrete and continuous.…”

Section: Introductionmentioning

confidence: 99%

Localization in Low Power Wide Area Networks Using Wi-Fi Fingerprints

2017

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Featured Application: Localization of a wireless track and trace device communicating over Sigfox and using nearby Wi-Fi access points as references.Abstract: Supply chain management requires regular updates of the location of assets, which can be enabled by low power wide area networks, such as Sigfox. While it is useful to localize a device simply by its communication signals, this is very difficult to do with Sigfox because of wide area and ultra narrowband nature. On the other hand, installing a satellite localization element on the device greatly increases its power consumption. We investigated using information about nearby Wi-Fi access points as a way to localize the asset over the Sigfox network, so without connecting to those Wi-Fi networks. This paper reports the location error that can be achieved by this type of outdoor localization. By using a combination of two databases, we could localize the device on all 36 test locations with a median location error of 39 m. This shows that the localization accuracy of this method is promising enough to warrant further study, most specifically the minimal power consumption.

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“…Por otro lado, incluir aspectos de trazabilidad en los sistemas de producción genera impactos económicos y operativos en las organizaciones (Wang et al 2010). En relación con el análisis de costos de trazabilidad, Asioli et al (2014) realizaron un análisis de regresión lineal, para determinar la relación existente entre los niveles de trazabilidad, los costos y los beneficios reales y esperados de la rastreabilidad en la cadena de suministro de la pesca italiana, concluyendo que, una mayor amplitud de la trazabilidad, incrementa los costos.…”

Section: Introductionunclassified