Reincarnate is pleased to highlight the publication of the paper “Matrix-Based Approach to Optimizing Disassembly Sequence Planning for Aluminum-Framed Windows,” presented at the 36th Forum Bauinformatik 2025 in Aachen, Germany, and published in the conference proceedings by RWTH Aachen University.
Authored by Begüm Aktas, the study addresses one of the central challenges in circular construction: how to plan efficient, material-sensitive disassembly sequences for complex building components. Conventional graph-based methods struggle to capture the full set of geometric, material, and technical relationships involved in multi-layer window assemblies. This research introduces an alternative matrix-based approach that encodes precedence relationships in adjacency and incidence matrices, enabling more accurate and scalable sequence optimization.
The methodology transforms 2D cross-section drawings into 3D window models, generates collision-based precedence relations, and evaluates both weighted and unweighted matrix representations. By incorporating material recyclability and interface complexity into the weighting scheme, the method reveals how disassembly paths can prioritize high-value materials such as aluminum while postponing more intricate or integrated connections.
Tested across window systems of increasing complexity – 8, 16, and 20 parts – the approach demonstrates how weighted matrices can yield more realistic and material-aware disassembly strategies. This supports better planning for reuse, remanufacturing, and resource recovery in building component design.
The research contributes to Reincarnate’s objective of enabling circular material flows through improved design, modeling, and digital evaluation frameworks.