Disassembly of end-of-life products is a common step in remanufacturing and recycling. Disassembly sequence planning is the process that automatically finds the optimal sequence of components being removed. A key element of disassembly sequence planning is a suitable mathematical representation that describes the interference of any two components in a product. Previous studies on disassembly sequence planning have tended to focused on the interference that is fixed and known. However, the interference may be uncertain due to complex end-of-life conditions such as deformation, corrosion and rust. To deal with uncertain interference, this paper proposes an interference probability matrix as a new mathematical representation that uses probability to indicate uncertainty in the interference, and establishes a multi-threshold planning scheme to generate the optimal disassembly sequence plans. Three case studies are given to demonstrate the use of the proposed approach. It is also tested the performance of four multi-objective optimization algorithms that can be adopted in the proposed multi-threshold planning scheme.

报废产品的拆卸是再制造和回收的常见步骤。拆卸顺序规划是自动找到要拆卸的组件的最佳顺序的过程。拆卸顺序规划的一个关键要素是一个合适的数学表示，它描述了产品中任意两个组件的干扰。以前对拆卸序列规划的研究往往集中在固定和已知的干扰上。然而，由于变形、腐蚀和生锈等复杂的寿命终止条件，干扰可能是不确定的。针对不确定干扰，本文提出了干扰概率矩阵作为一种新的数学表示，用概率来表示干扰的不确定性，并建立多阈值规划方案，生成最优拆解顺序方案。给出了三个案例研究来证明所提出的方法的使用。还测试了可以在所提出的多阈值规划方案中采用的四种多目标优化算法的性能。