A multi-level filtering framework for disassembly sequence planning utilizing various detailed information

With a growing emphasis on circular economy, disassembling industrial products to retain their value after the end of their life cycle is increasingly seen as a promising approach. In modern industry, selective disassembly—focusing on specific components rather than full product disassembly—offers a more practical balance between economic and ecological considerations. In this work, we first present a general framework for addressing the Disassembly Sequence Planning (DSP) problem. Building on this framework, we propose two methods to solve a specific variant of the problem: selective DSP, which is particularly relevant to industrial applications. One of these methods demonstrates a significant ability to address this challenge, reducing the number of removal attempts by about 20 % to over 60 % in validation assemblies. This result validates the effectiveness of the proposed framework, highlighting its potential for practical implementation.