RPA

An independent study of Radio-Frequency Identification (RFID) technology on reusable containers in the US food supply chain has concluded after more than a year of testing.

According to the Reusable Packaging Association (RPA), the research found that RFID tags designed for single use could be used for multiple trips without any deterioration in performance, if positioned correctly on reusable containers.

The study consisted of two phases of laboratory testing involving vigorous checking at Michigan State University School of Packaging and further verification before moving on to field testing.

During the field trial, fresh produce was packed in reusable plastic containers directly in the field under different conditions, and then sent to cooling facilities before being loaded onto trucks and shipping containers. This ensured that the RFID tags were exposed to the full range of supply chain temperatures and conditions, subjected to over 1,000 miles of transportation.

'The compatibility of RFID technology with reusable containers brings substantial added benefits to the already proven economic and environmental advantages of reusable packaging systems,' said Pat Kennedy, a leader of the RPA packaging team that sponsored the study.

The study was backed by a range of RPA members and industry leaders from different stages of the supply chain, including Wal-Mart, Stemilt, Tanimura and Antle, Frontera Produce and IFCO Systems.

'Bob Klimko, chairman of the RPA board, outlined a number of reasons why the findings would further the adoption of reusable packaging systems, including cost effective tracking, enhanced supply chain visibility, accelerated return on investments, minimised product loss or damage, and reduced labour costs.

By combining RFID technology with reusable containers, industries gain the ability to better track their product and their containers as they move through the supply chain,' he said. 'This will result in a stronger return on investment on the containers, as well as provide opportunities for improved supply chain management through analysis of data provided.'

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