Disassembly sequence planning using a Simplified Teaching-Learning-Based Optimization algorithm

Advanced Engineering Informatics

Volumn 28, Issue 4, 2014, Pages 518-527

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

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

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

Author keywords

Disassembly; Disassembly sequence planning; Meta heuristics; Optimization; Simplified Teaching Learning Based; Teaching Learning Based Optimization

Indexed keywords

ALGORITHMS; COMBINATORIAL OPTIMIZATION; LEARNING ALGORITHMS; OPTIMIZATION; PROBLEM SOLVING;

DISASSEMBLY; DISASSEMBLY SEQUENCE PLANNING; META HEURISTICS; TEACHING-LEARNING; TEACHING-LEARNING-BASED OPTIMIZATIONS;

EVOLUTIONARY ALGORITHMS;

EID: 84924028764     PISSN: 14740346     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aei.2014.07.006     Document Type: Conference Paper

References (34)

1. A. Gungor, and S.M. Gupta Issues in environmentally conscious manufacturing and product recovery: a survey Comput. Indus. Eng. 36 4 1999 811 853
2. A.J. Lambert Disassembly sequencing: a survey Int. J. Prod. Res. 41 16 2003 3721 3759
3. S.S. Smith, and W.-H. Chen Rule-based recursive selective disassembly sequence planning for green design Adv. Eng. Inform. 25 1 2011 77 87
4. T.C. Kuo, H.C. Zhang, and S.H. Huang Disassembly analysis for electromechanical products: a graph-based heuristic approach Int. J. Prod. Res. 38 5 2000 993 1007
5. E. Kongar, and S.M. Gupta Disassembly sequencing using genetic algorithm Int. J. Adv. Manuf. Technol. 30 5-6 2006 497 506
6. F. Giudice, and G. Fargione Disassembly planning of mechanical systems for service and recovery: a genetic algorithms based approach J. Intell. Manuf. 18 3 2007 313 329
7. T. Go, D. Wahab, M.A. Rahman, R. Ramli, and A. Hussain Genetically optimised disassembly sequence for automotive component reuse Expert Syst. Appl. 39 5 2012 5409 5417
8. W. Hui, X. Dong, and D. Guanghong A genetic algorithm for product disassembly sequence planning Neurocomputing 71 13 2008 2720 2726
9. J. Li, L. Khoo, and S. Tor A novel representation scheme for disassembly sequence planning Int. J. Adv. Manuf. Technol. 20 8 2002 621 630
10. K.-K. Seo, J.-H. Park, and D.-S. Jang Optimal disassembly sequence using genetic algorithms considering economic and environmental aspects Int. J. Adv. Manuf. Technol. 18 5 2001 371 380
11. J.R. Li, L.P. Khoo, and S.B. Tor An object-oriented intelligent disassembly sequence planner for maintenance Comput. Indus. 56 7 2005 699 718
12. Y.-J. Tseng, F.-Y. Yu, and F.-Y. Huang A green assembly sequence planning model with a closed-loop assembly and disassembly sequence planning using a particle swarm optimization method Int. J. Adv. Manuf. Technol. 57 9-12 2011 1183 1197
13. Y. Wang, and J. Liu Chaotic particle swarm optimization for assembly sequence planning Robot. Comput.-Integr. Manuf. 26 2 2010 212 222
14. H. Lv, and C. Lu An assembly sequence planning approach with a discrete particle swarm optimization algorithm Int. J. Adv. Manuf. Technol. 50 5-8 2010 761 770
15. W.-C. Yeh Optimization of the disassembly sequencing problem on the basis of self-adaptive simplified swarm optimization IEEE Trans. Syst. Man Cybernet. Part A: Syst. Humans 42 1 2012 250 261
16. W.-C. Yeh Simplified swarm optimization in disassembly sequencing problems with learning effects Comput. Oper. Res. 39 9 2012 2168 2177
17. W. Li, K. Xia, L. Gao, and K.-M. Chao Selective disassembly planning for waste electrical and electronic equipment with case studies on liquid crystaldisplays Robot. Comput.-Integr. Manuf. 29 4 2013 248 260
18. J. Wang, J. Liu, and Y. Zhong A novel ant colony algorithm for assembly sequence planning Int. J. Adv. Manuf. Technol. 25 11-12 2005 1137 1143
19. S. Agrawal, and M. Tiwari A collaborative ant colony algorithm to stochastic mixed-model u-shaped disassembly line balancing and sequencing problem Int. J. Prod. Res. 46 6 2008 1405 1429
20. S.M. McGovern, and S.M. Gupta Ant colony optimization for disassembly sequencing with multiple objectives Int. J. Adv. Manuf. Technol. 30 5-6 2006 481 496
21. B. Adenso-Díaz, S. García-Carbajal, and S. Lozano An efficient grasp algorithm for disassembly sequence planning OR Spect. 29 3 2007 535 549
22. B. Adenso-Díaz, S. García-Carbajal, and S.M. Gupta A path-relinking approach for a bi-criteria disassembly sequencing problem Comput. Oper. Res. 35 12 2008 3989 3997
23. C. Andrés, S. Lozano, and B. Adenso-Diaz Disassembly sequence planning in a disassembly cell context Robot. Comput.-Integr. Manuf. 23 6 2007 690 695
24. R. Rao, V. Savsani, and D. Vakharia Teaching-learning-based optimization: an optimization method for continuous non-linear large scale problems Inform. Sci. 183 1 2012 1 15
25. R. Rao, V. Savsani, and D. Vakharia Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems Comput.-Aid. Des. 43 3 2011 303 315
26. R. Rao, and V. Patel An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems Int. J. Indus. Eng. Comput. 3 4 2012 535 560
27. R. Rao, and V. Patel Comparative performance of an elitist teaching-learning-based optimization algorithm for solving unconstrained optimization problems Int. J. Indus. Eng. Comput. 4 1 2013 29 50
28. P. Pawar, and R.V. Rao Parameter optimization of machining processes using teaching-learning-based optimization algorithm Int. J. Adv. Manuf. Technol. 67 5-8 2013 995 1006
29. R. Venkata Rao, and V. Kalyankar Parameter optimization of modern machining processes using teaching-learning-based optimization algorithm Eng. Appl. Artif. Intell. 26 1 2013 524 531
30. R. Venkata Rao, and V. Kalyankar Parameter optimization of machining processes using a new optimization algorithm Mater. Manuf. Process. 27 9 2012 978 985
31. S. Satapathy, A. Naik, and K. Parvathi High dimensional real parameter optimization with teaching learning based optimization Int. J. Indus. Eng. Comput. 3 5 2012 807 816
32. T. Niknam, F. Golestaneh, and M.S. Sadeghi Multiobjective teaching-learning-based optimization for dynamic economic emission dispatch Syst. J. IEEE 6 2 2012 341 352
33. J. Li, Q. Wang, P. Huang, and H. Shen A novel connector-knowledge-based approach for disassembly precedence constraint generation Int. J. Adv. Manuf. Technol. 49 1-4 2010 293 304
34. B. González, and B. Adenso-Díaz A scatter search approach to the optimum disassembly sequence problem Comput. Oper. Res. 33 6 2006 1776 1793