The balancing of disassembly line of automobile engine using Genetic Algorithm (GA) in fuzzy environment

Industrial Engineering and Management Systems

Volumn 15, Issue 4, 2016, Pages 364-373

  Seidi, Masoud ^a   Saghari, Saeed ^b  

^a ILAM UNIVERSITY   (Iran)

^b Industrial Engineering Group   (Iran)

Author keywords

Balancing; Disassembly line; Genetic Algorithm (GA); Inverse logistics; Recycling

Indexed keywords

EID: 85012256190     PISSN: 15987248     EISSN: 22346473     Source Type: Journal    
DOI: 10.7232/iems.2016.15.4.364     Document Type: Article

References (18)

1. Avikal, S., Jain, R., and Mishra, P. K. (2014), A Kano model, AHP and M-TOPSIS method-based technique for disassembly line balancing under fuzzy environment, Applied Soft Computing, 25, 519-529.
2. Bentaha, M. L., Battaïa, O., and Dolgui, A. (2014), A sample average approximation method for disassembly line balancing problem under uncertainty, Computers and Operations Research, 51, 111-122.
3. Bentaha, M. L., Battaïa, O., and Dolgui, A. (2014), Lagrangian relaxation for stochastic disassembly line balancing problem, Procedia CIRP, 17, 56-60.
4. Gen, M., Tsujimura, Y., and Li, Y. (1996), Fuzzy assembly line balancing using genetic algorithms, Computers and Industrial Engineering, 31(3), 631-634.
5. Go, T. F., Wahab, D. A., Rahman, M. A., Ramli, R., and Hussain, A. (2012), Genetically optimised disassembly sequence for automotive component reuse, Expert Systems with Applications, 39(5), 5409-5417.
6. Güngör, A. and Gupta, S. M. (1999), Disassembly line balancing, In Proceedings of the 1999 annual meeting of the northeast decision sciences institute, 24-26.
7. Güngör, A. and Gupta, S. M. (2002), Disassembly line in product recovery, International Journal of Production Research, 40(11), 2569-2589.
8. Kalayci, C. B. and Gupta, S. M. (2011), Tabu search for disassembly line balancing with multiple objectives, In 41st International conference on computers and industrial engineering (CIE41), 477-482.
9. Kalayci, C. B. and Gupta, S. M. (2013), Artificial bee colony algorithm for solving sequence-dependent disassembly line balancing problem, Expert Systems with Applications, 40(18), 7231-7241.
10. Kalayci, C. B., Hancilar, A., Gungor, A., and Gupta, S. M. (2015), Multi-objective fuzzy disassembly line balancing using a hybrid discrete artificial bee colony algorithm, Journal of Manufacturing Systems, 37, 672-682.
11. Lee, E. S. and Li, R. J. (1988), Comparison of fuzzy numbers based on the probability measure of fuzzy events, Computers and Mathematics with Applications, 15(10), 887-896.
12. McGovern, S. M. and Gupta, S. M. (2007), A balancing method and genetic algorithm for disassembly line balancing, European Journal of Operational Research, 179(3), 692-708.
13. Özceylan, E., Paksoy, T., and Bektas, T. (2014), Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing, Transportation research part E: logistics and transportation review, 61, 142-164.
14. Paksoy, T., Güngör, A., Özceylan, E., and Hancilar, A. (2013), Mixed model disassembly line balancing problem with fuzzy goals, International Journal of Production Research, 51(20), 6082-6096.
15. Tapkan, P., Özbakir, L., and Baykasoglu, A. (2012), Bees algorithm for constrained fuzzy multi-objective two-sided assembly line balancing problem, Optimization Letters, 6(6), 1039-1049.
16. Tovey, C. A. (2002), Tutorial on computational complexity.Interfaces, 32(3), 30-61.
17. Tsujimura, Y., Gen, M., and Kubota, E. (1995), Solving fuzzy assembly-line balancing problem with genetic algorithms, Computers and Industrial Engineering, 29(1), 543-547.
18. Van Hop, N. (2006), A heuristic solution for fuzzy mixed-model line balancing problem, European Journal of Operational Research, 168(3), 798-810.