Cooperative Co-evolution and Data Mining for Planning Disassemly Sequence and Estimating Time

Abstract

Few existing methods can simultaneously confirm sequence shortest and operation time minimum of target parts disassembly for retired products. Aiming to filling this research gap, this paper proposes a cooperative co-evolution (CC) and data mining (DM) based method for planning disassembly sequence and estimating operation time, in which CC is used to search the shortest disassembly sequence (SDS). Modular Arrangement of Pre-determined Time Standard (MOD) is employed to estimate the operation time of SDS, then DM is used to further adjust this operation time. A real-world use case verified the effectiveness of the proposed method.