Journal
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume 56, Issue 9, Pages 3134-3151Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2017.1412527
Keywords
remanufacturing; robotic disassembly sequence planning; enhanced discrete bees algorithm; disassembly sequence planning; intelligent optimisation
Categories
Funding
- Engineering and Physical Sciences Research Council [EP/N018524/1] Funding Source: researchfish
- EPSRC [EP/N018524/1] Funding Source: UKRI
Ask authors/readers for more resources
Increasing attention is being paid to remanufacturing due to environmental protection and resource saving. Disassembly, as an essential step of remanufacturing, is always manually finished which is time-consuming while robotic disassembly can improve disassembly efficiency. Before the execution of disassembly, generating optimal disassembly sequence plays a vital role in improving disassembly efficiency. In this paper, to minimise the total disassembly time, an enhanced discrete Bees algorithm (EDBA) is proposed to solve robotic disassembly sequence planning (RDSP) problem. Firstly, the modified feasible solution generation (MFSG) method is used to build the disassembly model. After that, the evaluation criterions for RDSP are proposed to describe the total disassembly time of a disassembly sequence. Then, with the help of mutation operator, EDBA is proposed to determine the optimal disassembly sequence of RDSP. Finally, case studies based on two gear pumps are used to verify the effectiveness of the proposed method. The performance of EDBA is analysed under different parameters and compared with existing optimisation algorithms used in disassembly sequence planning (DSP). The result shows the proposed method is more suitable for robotic disassembly than the traditional method and EDBA generates better quality of solutions compared with the other optimisation algorithms.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available