A Q-learning based selective disassembly planning service in the cloud based remanufacturing system for WEEE

ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference

Volumn 1, Issue , 2014, Pages

  Xia, Kai ^a   Gao, Liang ^a   Li, Weidong ^b   Wang, Lihui ^c   Chao, Kuo Ming ^b  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b Institute for Clean Growth and Future Mobility   (United Kingdom)

^c ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Cloud based remanufacturing; Q Learning; Remanufacturing services; Selective disassembly planning; Waste electrical and electronic equipment (WEEE)

Indexed keywords

CLOUD-BASED; Q-LEARNING; REMANUFACTURING SERVICES; SELECTIVE-DISASSEMBLY; WASTE ELECTRICAL AND ELECTRONIC EQUIPMENT;

EID: 84908888858     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/MSEC2014-4008     Document Type: Conference Paper

References (14)

1. Ongondo, F. O., Williams, I. D., and Cherrett, T. J., 2011, "How are WEEE doing? A global review of the management of electrical and electronic wastes," Waste Management, 31(4), pp. 714-730.
2. Li, W. D., Chao, K., Jin, G. Q., Xia, K., and Gao, L., "Sustainable information management for Waste Electrical and Eletronic Equipment," Proc. IEEE 16th International Conference on Computer Supported Cooperative Work in Design, pp. 875-881.
3. EU, 2003, "Directive 2002/96/EC on waste electrical and electronic equipment (WEEE)," http://eurlex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2003:037:0024:0038:en:PDF.
4. Kongar, E., and Gupta, S. M., 2006, "Disassembly sequencing using genetic algorithm," Int J Adv Manuf Tech, 30(5-6), pp. 497-506.
5. Wei-Chang, Y., 2012, "Optimization of the Disassembly Sequencing Problem on the Basis of Self-Adaptive Simplified Swarm Optimization," Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 42(1), pp. 250-261.
6. Wang, J. F., Liu, J. H., and Zhong, Y. F., 2005, "A novel ant colony algorithm for assembly sequence planning," Int J Adv Manuf Tech, 25(11-12), pp. 1137-1143.
7. Adenso-Diaz, B., Garcia-Carbajal, S., and Lozano, S., 2007, "An efficient GRASP algorithm for disassembly sequence planning," OR Spectrum, 29(3), pp. 535-549.
8. Xia, K., Gao, L., Wang, L., Li, W. D., and Chao, K. M., "A Simplified Teaching-Learning-Based Optimization Algorithm for Disassembly Sequence Planning," Proc. e-Business Engineering (ICEBE), 2013 IEEE 10th International Conference on, pp. 393-398.
9. Li, W. D., Xia, K., Gao, L., and Chao, K. M., 2013, "Selective disassembly planning for waste electrical and electronic equipment with case studies on liquid crystal displays," Robotics and Computer-Integrated Manufacturing, 29(4), pp. 248-260.
10. Smith, S. S., and Chen, W.-H., 2011, "Rule-based recursive selective disassembly sequence planning for green design," Advanced Engineering Informatics, 25(1), pp. 77-87.
11. Kara, S., Pornprasitpol, P., and Kaebernick, H., 2006, "Selective Disassembly Sequencing: A Methodology for the Disassembly of End-of-Life Products," CIRP Annals-Manufacturing Technology, 55(1), pp. 37-40.
12. C. C. H., and Dayan, P., 1992, "Q-learning," Mach Learn, 8(3-4), pp. 279-292.
13. Lin, Q., Xia, K., Wang, L., and Gao, L., "Research Progress of Cloud Manufacturing in China: A Literature Survey," Proc. ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference, American Society of Mechanical Engineers, pp. V002T002A006-V002T002A006.
14. Cervera, E., and del Pobil, A. P., 2002, "Sensor-based learning for practical planning of fine motions in robotics," Information Sciences, 145(1-2), pp. 147-168.