An Adaptable Agent Architecture to Support Life Cycle Management Using Automated Identification Technologies

摘要

It is anticipated that product life cycle management of durable products might be significantly improved by the introduction of read/write automatic identification technologies (AIT) such as radio frequency identification (RFID) tags. Such technology significantly expands available life cycle strategies, most notably enabling more distributed decision-making and enhancing data collection. Progressive collection and tag storage of life cycle data might be particularly useful for later life cycle activities such as product operation, maintenance and disposal. As the product enters into different activities, the data on the tag might be altered. This paper presents an adaptive agent-based architecture and approach to data allocation on such tags. The approach considers memory constraints, data correlation, and data value.