Researchers Sara Strakosova, Petr Novak, and Petr Kadera from the Czech Technical University in Prague have proposed a new modeling approach aimed at enhancing the lifecycle management of complex products, particularly in the automotive sector. Their work, published in the journal “IFAC-PapersOnLine,” addresses the need for a more comprehensive approach to product lifecycle management, one that incorporates end-of-life considerations into the initial engineering phase.
The researchers’ approach builds upon the existing Product-Process-Resource (PPR) modeling paradigm. However, they extend this paradigm to create a Product-oriented Product-Process-Resource Asset Network (PoPAN). This model is designed to respect the product structure as its basis and incorporates processes such as repairing, remanufacturing, or upcycling within cyber-physical production systems. The PoPAN model is intended to serve as a digital shadow of the product, encapsulated within the Asset Administration Shell, throughout the entire product lifecycle.
One of the key aspects of this research is the serialization of the PoPAN model in the AutomationML data format. AutomationML is an open, XML-based data format designed for the exchange of plant engineering information. By serializing the PoPAN model in this format, the researchers aim to facilitate the adoption of their proposed paradigm within the industry.
The researchers demonstrate the practical application of their model through a use-case involving the disassembly of electric vehicle batteries. The PoPAN model is used to support the remanufacturing of these batteries for stationary applications, highlighting the potential of the model to contribute to the circular economy and sustainable resource management.
In the context of the energy industry, this research could have significant implications. As the demand for electric vehicles grows, so does the need for effective management of their batteries at the end of their lifecycle. The PoPAN model could provide a valuable tool for energy companies and recycling facilities, enabling them to optimize the remanufacturing process and extend the lifespan of these valuable resources. Furthermore, the model’s ability to support upcycling could open up new opportunities for the creation of stationary energy storage solutions from used electric vehicle batteries.
In conclusion, the research conducted by Strakosova, Novak, and Kadera presents a promising approach to enhancing the lifecycle management of complex products. By incorporating end-of-life considerations into the initial engineering phase, the PoPAN model could contribute to more sustainable and efficient resource management practices within the energy industry. The serialization of the model in the AutomationML data format further facilitates its adoption, making it a practical and valuable tool for industry professionals.
This article is based on research available at arXiv.