Optimizing disassembly planning for aluminium-framed windows through automation and collision analysis

Due to increasing economic competition and growing environmental concerns, the construction industry faces pressure to reduce its environmental footprint in material production and building processes. Disassembly planning has emerged as a key strategy to advance circular construction practices by facilitating material recovery at the end-of-life (EoL) stage. However, disassembly remains complex, requiring strategic planning to maximize material recovery, reduce waste, and minimize embodied energy consumption. The introduction of matrix-based representations offers a promising solution to this complexity. These representations enable efficient disassembly sequence generation, overcoming previously mentioned limitations and providing more efficient means for computers to generate disassembly sequences while reducing algorithmic complexity. This study represents collision test-based adjacency matrix constructions as tools for capturing geometric precedence relations of window parts. It also identifies key factors, dependencies, and challenges associated with disassembling matrix-based multi-layered and multi-material window systems.