DocumentCode
3519776
Title
The Benefits of Automatic Data Collection in the Fresh Produce Supply Chain
Author
Panos, Ryan Charles ; Freed, Tali
Author_Institution
California Polytech. State Univ., San Luis Obispo
fYear
2007
fDate
22-25 Sept. 2007
Firstpage
1034
Lastpage
1038
Abstract
The potential for RFID based systems to improve the safety and efficiency of a supply chain with rapidly decaying products and strict health standards is creating pressure to adopt RFID in several agricultural industries. A handful of fresh produce industry leaders currently participate in mandated pilot projects, while the industry as a whole is still intimidated by the perceived cost of RFID. Therefore in this study we attempt to validate the correlation between performance and automated data collection, paving the way to economic justification of investment in data collection technologies, such as barcode and RFID. The majority of product in this industry is identified and tracked using pallet barcode labels at the more progressive facilities, or facility-specific manual identification methods at the less advanced facilities. Most fresh produce facilities in the US have minimal information systems capabilities, and most of their logistics operations are documented on paper only. Thus the form of automated data collection (ADC) used in the more advanced facilities is Barcode-based. This study compares facilities that use ADC with those that do not. Significant advantages of using ADC are found in many areas, especially in product spoilage, administrative labor and space utilization.
Keywords
agricultural products; agricultural safety; agriculture; bar codes; logistics; production engineering computing; radiofrequency identification; supply chain management; RFID based system; administrative labor; agricultural industry; automatic data collection; fresh produce industry; fresh produce supply chain; health standards; information system; logistics operation; pallet barcode labels; product spoilage; rapidly decaying products; space utilization; Automation; Costs; Data engineering; Health and safety; Information systems; Logistics; RFID tags; Radiofrequency identification; Supply chains; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Science and Engineering, 2007. CASE 2007. IEEE International Conference on
Conference_Location
Scottsdale, AZ
Print_ISBN
978-1-4244-1154-2
Electronic_ISBN
978-1-4244-1154-2
Type
conf
DOI
10.1109/COASE.2007.4341762
Filename
4341762
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