摘要
With eco-awareness and eco-regulation, the end of-life (EOL) disassembly sequencing problem (DSP) has become increasingly important in the process of recycling, reclamation, or remanufacturing EOL products. However, most of the studies in the disassembly sequencing plan assume that the processing time is deterministic for each part's disassembling procedure. For a realistic and logical approach to the DSP, we take account of the stochastic concept and redefine each part's disassembling time as an exponentially distributed function. Considering the NP-complete nature of the stochastic problem, this paper presents a revised simplified swarm optimization (SSO) to minimize the total expected disassembling time for the stochastic disassembly sequencing problem (SDSP). The results presented in the study show that the SSO is qualified to effectively schedule the SDSP under limited computation time.