The rapid advancement of Internet of Things (IoT) is pushing the envelope of how Concurrent Engineering can be practiced. IoT provides the pervasive real-time, and location sensitive data capabilities, forces engineered products to evolve with new communication and computational features before, during and after they are deployed to users. To cope with this IoT-driven product development speed, this article presents a Concurrent Engineering approach, called eXtreme Learning Process (XLP), where all engineered products and engineers are conceptualised as learning agents in agencies connected by the “Internet of Everything” (IoE). Instead of thinking of engineered products as concrete objects produced by distinct engineering teams, XLP-based engineering approach identifies engineering solutions as composable intellectual assets generated by decentralised learning processes. Therefore, any individual, or any organisation, can participate in this incremental learning process, and collectively design and produce new products using resources connected to the Internet ecology. To demonstrate the feasibility of XLP-based concurrent engineering approach, we have conducted a number of XLP-based product development experiments in workshop forms in several universities. Certain product development case studies will be presented and analysed in this article. We will also discuss how XLP can be used as an integrated curriculum design method to explore the future of concurrent engineering education.
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