Balancing a sequencedependent disassembly line using simulated annealing algorithm

Applications of Management Science

Volumn 16, Issue , 2013, Pages 81-103

  Kalayci, Can B ^a   Gupta, Surendra M ^b  

^a PAMUKKALE UNIVERSITY   (Turkey)

^b Northeastern University   (United States)

Author keywords

Metaheuristics; Product recovery; Sequence dependent disassembly line; Simulated annealing

Indexed keywords

EID: 84887413772     PISSN: 02768976     EISSN: None     Source Type: Book Series    
DOI: 10.1108/S0276-8976(2013)0000016008     Document Type: Article

References (32)

1. Agrawal, S., & Tiwari, M. K. (2008). A collaborative ant colony algorithm to stochastic mixed-model U-shaped disassembly line balancing and sequencing problem. International Journal of Production Research, 46(6), 1405-1429.
2. Altekin, F. T., & Akkan, C. (2012). Task-failure-driven rebalancing of disassembly lines. International Journal of Production Research, 50(18), 4955-4976.
3. Altekin, F. T., Kandiller, L., & Ozdemirel, N. E. (2008). Profit-oriented disassembly-line balancing. International Journal of Production Research, 46(10), 2675-2693.
4. Baybars, I. (1986). A survey of exact algorithms for the simple assembly line balancing problem. Management Science, 32(8), 909-932.
5. Baykasoglu, A. (2006). Multi-rule multi-objective simulated annealing algorithm for straight and U type assembly line balancing problems. Journal of Intelligent Manufacturing, 17(2), 217-232.
6. Cakir, B., Altiparmak, F., & Dengiz, B. (2011). Multi-objective optimization of a stochastic assembly line balancing: A hybrid simulated annealing algorithm. Computers & Industrial Engineering, 60(3), 376-384.
7. Ding, L.-P., Feng, Y.-X., Tan, J.-R., & Gao, Y.-C. (2010). A new multi-objective ant colony algorithm for solving the disassembly line balancing problem. The International Journal of Advanced Manufacturing Technology, 48(5-8), 761-771.
8. Gungor, A., & Gupta, S. M. (1999). Issues in environmentally conscious manufacturing and product recovery: A survey. Computers & Industrial Engineering, 36(4), 811-853.
9. Gungor, A., & Gupta, S. M. (2001). A solution approach to the disassembly line balancing problem in the presence of task failures. International Journal of Production Research, 39(7), 1427-1467
10. Gungor, A., & Gupta, S. M. (2002). Disassembly line in product recovery. International Journal of Production Research, 40(11), 2569-2589.
11. Gupta, S. M., Erbis, E., & McGovern, S. M. (2004). Disassembly sequencing problem: A case study of a cell phone. In S. M. Gupta (Ed.), Environmentally conscious manufacturing IV (Vol. 5583, pp. 43-52). Proceedings of the Society of Photo-Optical Instrumentation Engineers (SPIE). Bellingham:International Society for Optical Engineering.
12. Ilgin, M. A., & Gupta, S. M. (2010). Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art. Journal of Environmental Management, 91(3), 563-591.
13. Kalayci, C. B., & Gupta, S. M. (2011a). A hybrid genetic algorithm approach for disassembly line balancing. Proceedings of the 42nd annual meeting of Decision Science Institute (DSI 2011), November 19-22, Boston, MA (pp. 2142-2148).
14. Kalayci, C. B., & Gupta, S. M. (2011b). Tabu search for disassembly line balancing with multiple objectives. 41st International conference on Computers and Industrial Engineering (CIE41), October 23-26, University of Southern California, Los Angeles, CA (pp 477-482).
15. Kalayci, C. B., & Gupta, S. M. (2012). A particle swarm optimization algorithm for solving disassembly line balancing problem. Proceedings of Northeast Decision Sciences Institute 2012 annual conference, March 21-23, Newport, RI.
16. Kalayci, C. B., & Gupta, S. M. (2013). Ant colony optimization for sequence-dependent disassembly line balancing problem. Journal of Manufacturing Technology Management, 24(3), 413-427.
17. Kalayci, C. B., Gupta, S. M., & Nakashima, K. (2011a). A simulated annealing algorithm for balancing a disassembly line. Proceedings of the seventh international symposium on Environmentally Conscious Design and Inverse Manufacturing (EcoDesign 2011), November 30-December 2, Kyoto (pp. 713-718).
18. Kalayci, C. B., Gupta, S. M., & Nakashima, K. (2011b). Bees colony intelligence in solving disassembly line balancing problem. Proceedings of the 2011 Asian conference of management science and Applications (ACMSA2011), December 21-22, Sanya, Hainan, China (pp 34-41).
19. Kalayci, C. B., Gupta, S. M., & Nakashima, K. (2012). A simulated annealing algorithm for balancing a disassembly line. In M. Matsumoto, Y. Umeda, K. Masui, & S. Fukushige (Eds.), Design for innovative value towards a sustainable society (pp. 714-719). Dordrecht, Netherlands: Springer.
20. Koc, A., Sabuncuoglu, I., & Erel, E. (2009). Two exact formulations for disassembly line balancing problems with task precedence diagram construction using an AND/OR graph. IIE Transactions, 41(10), 866-881.
21. McGovern, S. M., & Gupta, S. M. (2005). Ant colony optimization for disassembly sequencing with multiple objectives. The International Journal of Advanced Manufacturing Technology, 30(5-6), 481-496.
22. McGovern, S. M., & Gupta, S. M. (2006). Ant colony optimization for disassembly sequencing with multiple objectives. The International Journal of Advanced Manufacturing Technology, 30(5), 481-496.
23. McGovern, S. M., & Gupta, S. M. (2007). A balancing method and genetic algorithm for disassembly line balancing. European Journal of Operational Research, 179(3), 692-708.
24. McGovern, S. M., & Gupta, S. M. (2011). The disassembly line: Balancing and modeling. New York, NY: McGraw-Hill.
25. McMullen, P. R. (2010). JIT mixed-model sequencing with batching and setup considerations via search heuristics. International Journal of Production Research, 48(22), 6559-6582.
26. McMullen, P. R., & Frazier, G. V. (1998). Using simulated annealing to solve a multiobjective assembly line balancing problem with parallel workstations. International Journal of Production Research, 36(10), 2717-2741.
27. Ozcan, U. (2010). Balancing stochastic two-sided assembly lines: A chance-constrained, piecewise-linear, mixed integer program and a simulated annealing algorithm. European Journal of Operational Research, 205(1), 81-97.
28. Ozcan, U., Cercioglu, H., Gokcen, H., & Toklu, B. (2010). Balancing and sequencing of parallel mixed-model assembly lines. International Journal of Production Research, 48(17), 5089-5113.
29. Sabuncuoglu, I., Erel, E., & Tanyer, M. (2000). Assembly line balancing using genetic algorithms. Journal of Intelligent Manufacturing, 11(3), 295-310.
30. Seyed-Alagheband, S. A., Ghomi, S. M. T. F., & Zandieh, M. (2011). A simulated annealing algorithm for balancing the assembly line type II problem with sequence-dependent setup times between tasks. International Journal of Production Research, 49(3), 805-825.
31. Tovey, C. A. (2002). Tutorial on computational complexity. Interfaces, 32(3), 30-61.
32. Vilarinho, P. M., & Simaria, A. S. (2002). A two-stage heuristic method for balancing mixed-model assembly lines with parallel workstations. International Journal of Production Research, 40(6), 1405-1420.