Dr. John Ryan is a retired quality assurance administrator from the Hawaii State Department of Agriculture. He holds a Ph.D. and has been involved in the quality profession for over 30 years on an international basis and in a variety of industries. He designed and piloted the United States first RFID enabled farm to retail traceability system in the nation while working with Motorola, Lowry Systems and other well-known industry companies. He has published over thirty papers on quality systems and will shortly release a book for Elsevier Press entitled "Guide to Food Safety and Quality During Transportation: Controls, Standards and Practices". He began Ryan Systems over ten years ago.
Ryan Systems works with some of the world's leading equipment, hardware, software, training and integration companies in the business. When we solicit and present cost and support estimates for projects. We are closely connected with food safety and other audit activities and can begin an initial assessment of your capabilities and needs. Should the plan call for bar code, RFID or manual traceability systems, we are well connected with companies capable of delivering on-time professional support.
Ryan Systems has signed an agreement to work with iGPS as they swing their focus in a more integrated temperature monitoring and integration direction that includes installing Intelleflex RFID temperature monitoring solutions directly into the plastic pallet. This solution will allow for temperature monitoring at the pallet level for better tracking and monitoring as pallets go in different directions and on different carriers through the food supply chain.
Ryan Systems, Intelleflex, and Global Tracking Systems are currently working to implement a cold chain tracking system throughout the wine transportation sector. This system will run through the spring of 2013 with reports and status updates available here. This is a low cost, recyclable, sustainable effort that will eventually provide shippers with control over shipping processes and link to local data sets using the iFSS server solution.