Monitoring environmental performance of the forestry supply chain using RFID

Björk, Anders; Erlandsson, Martin; Häkli, Janne; Jaakkola, Kaarle; Nilsson, ísa; Nummila, K. K.; Puntanen, Ville; Sirkka, Antti

doi:10.1016/j.compind.2011.08.001

Cited by 64 publications

(32 citation statements)

References 7 publications

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“…La metodologia di valutazione tiene conto di quanto proposto in tale ambito da vari autori (Timpe 2006, Björk et al 2011, Timpe et al 2012), e viene sviluppata in relazione all'analisi delle cinque fasi che seguono: 1. implementazione di tutti i componenti necessari per allestire il sistema tecnologico basato sull'impiego di RFID (tag, reader, software, ecc. ), con determinazione del capitale iniziale da investire per l'avvio del sistema: 2. installazione del sistema e utilizzo dello stesso con definizione di tutte le operazioni necessarie per il regolare funzionamento; rilevazione dei costi correnti per procedere all'applicazione dei tag negli oggetti tracciati (alberi in piedi, tondame in toppi da sega, da trancia, da sfogliatura, ecc.)…”

Section: Materiali E Metodiunclassified

“…Una rassegna della letteratura relativa all'utilizzo di queste tecnologie (Timpe 2006, Björk et al 2011, Friedemann & Schumann 2011, Timpe et al 2012, Picchi et al 2015, mostra che non esiste uno standard RFID che più si adatta ai particolari bisogni delle specifiche applicazioni. Alcune indagini fatte sull'applicazione di RFID in foresta mostrano che il sistema, per il quale i costi non sono ancora sostenibili, deve essere ancora commercialmente implementato (Timpe 2006), ma l'interesse verso questa tecnologia è crescente.…”

Section: Considerazioni Conclusiveunclassified

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See 2 more Smart Citations

Economic assessment of RFID coupled with open source technologies for wood traceability in Calabria

Sperandio¹,

Costa²,

Figorilli³

et al. 2017

Forest@

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IntroduzioneL'applicazione di tecnologie innovative e di precisione volte al miglioramento dell'efficienza e della qualità dei prodotti e dei processi produttivi ha avuto un notevole sviluppo in questi ultimi decenni nel settore agro-alimentare (Costa et al. 2013), mentre solo più recentemente questo aspetto è venuto a interessare anche il settore forestale (Timpe 2006, Björk et al. 2011, Corona & Scrinzi 2014, Picchi et al. 2015. Di particolare interesse al riguardo è la possibilità di applicazione di tecnologie innovative per la tracciabilità dei flussi di legname basate sull'applicazione di sistemi di Radio Frequency Identification (RFID). In ambito europeo, per la tematica del controllo della or tons of processed product. The results showed that the use of RFID technology along the supply chain could lead to an effective operational simplification and to a more efficient use of resources. Based on the average market prices for timber (80-120 € / m 3 ), the implementation of RFID technology led to an increase in timber price by 8% under the worst scenarios. This suggests that the use of open source technologies for wood traceability is already feasible and economically sustainable, as 40% of private companies stated their willingness to pay a premium price (on average 3.25% higher) for purchasing certified local wood products in Calabria. Moreover, we expect a further reduction of tags and hardware costs in the next future, up to half the costs estimated in this work, thus making the application of such technology to timber traceability even more affordable.

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Section: Materiali E Metodiunclassified

Section: Considerazioni Conclusiveunclassified

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Economic assessment of RFID coupled with open source technologies for wood traceability in Calabria

Sperandio¹,

Costa²,

Figorilli³

et al. 2017

Forest@

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“…In the field of using RFID technology to supply chain monitoring: Bjork Anders et al [3] used RFID to forestry timber track monitoring. Raab Verena et al [4] used this technology to monitor meat supply chain.…”

Section: Literature Reviewmentioning

confidence: 99%

Study on Internet of Things-driven Real-time Status Monitoring of Supply Chain Logistics

Fu¹,

Ma²,

Hu³

et al. 2017

dtetr

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Abstract. Real-time status monitoring of supply chain logistics is the basis of intelligent supply chain implementation. Supply chain logistics is essentially a process of objects move in space over time. It could also be abstracted as a process of materials transferred through nodes. First, therefore, this paper establishes a element node model of supply chain logistics to analyze the information collection required by supply chain logistics. It then uses internet of things to study the method of environment configuration of supply chain logistics real-time status monitoring, and classify the information collection required in supply chain logistics into two categories. A data processing model of supply chain logistics status monitoring is also developed based on Auto-ID calculation, with regard to the second information cannot be obtained directly through the data collection. Finally, software platform is built to verify theories and methods drawn.

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“…Efforts have been put into investigating the possibility of tracking trees between harvesting and sawmills using RFID tags (Björk et al, 2011;Häkli et al, 2013), tracking logs between the log sorting station and the saw intake (Chiorescu and Grönlund, 2004) and identifying which boards originate from which logs (Flodin et al, 2008). Attempts to recognize boards using board end images have also been carried out (Põlder et al, 2012).…”

Section: Traceability In the Wood Chainmentioning

confidence: 99%

Recognition of boards using wood fingerprints based on a fusion of feature detection methods

Pahlberg

Hagman

Thurley

2015

Computers and Electronics in Agriculture

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This paper investigates the possibility to automatically match and recognize individual Scots pine (Pinus sylvestris L.) boards using a fusion of two feature detection methods. The first method denoted Block matching method, detects corners and matches square regions around these corners using a normalized Sum of Squared Differences (SSD) measure. The second method denoted the SURF (Speeded-Up Robust Features) matching method, matches SURF features between images (Bay et al., 2008). The fusion of the two feature detection methods improved the recognition rate of wooden floorboards substantially compared to the individual methods. Perfect matching accuracy was obtained for board pieces with more than 20 knots using high quality images. More than 90% matching accuracy was achieved for board pieces with more than 10 knots, using both high-and low quality images.

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Monitoring environmental performance of the forestry supply chain using RFID

Cited by 64 publications

References 7 publications

Economic assessment of RFID coupled with open source technologies for wood traceability in Calabria

Economic assessment of RFID coupled with open source technologies for wood traceability in Calabria

Study on Internet of Things-driven Real-time Status Monitoring of Supply Chain Logistics

Recognition of boards using wood fingerprints based on a fusion of feature detection methods

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