In the field of Product Lifecycle Management, the gaps in terms of Product Usage Data collection and exploitation must be addressed. Meeting the need for data from the phases after the Beginning-of-Life is very critical for the product provider (and stakeholders in general) to improve the product, optimize costs, and be competitive. Based on previous studies on the concept of “active” product, the proposition models the information chain from the product to the stakeholder. This model considers the product and its context composed of the user, task, and environment. It exploits a holonic view of the product and a dynamic informational structure to store the data, information, and knowledge collected on the product and its context during various instances of usage. The proposed model is applied to the diagnosis of a door system in the field of railway transportation. Two scenarios provide “rule-based” and “knowledge-based” examples.