Abstract
To achieve sustainable development, mechanical parts should be reused repeatedly. For the effective re-use of parts, each reusable part is required to be under an appropriate management. For this purpose, we are proposing a system that is a combination of network agents called "Part agents" and radio frequency identification. A scheme is proposed in which Part agents generate advice for the consumer on the adequate activity of maintenance of the part based on their preference and the degradation status of the part. A simulation system of Part agents is developed to show that the proposed Part agent system would promote the reuse of parts. Using this simulation system, the effect of diversity of consumer's preference is investigated.
