A binary particle swarm optimization approach to optimize assembly sequence planning

Mukred, J.A.A. and Ibrahim, Z. and Ibrahim, I. and Adam, A. and Wan, K. and Yusof, Z.M. and Mokhtar, N. (2012) A binary particle swarm optimization approach to optimize assembly sequence planning. Advanced Science Letters, 13 (1). pp. 732-738. ISSN 19366612

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Abstract

This paper presents an approach of applying Binary Particle Swarm Optimization (BPSO) algorithm to an assembly sequence-planning (ASP) problem. Permutation encoding of sequences is used to represent particles, then those particles are strictly subjected to a precedence constraint matrix at which only the feasible sequences will be iterated in the process. An archive is used in storing the feasible sequences and a swap mechanism is used to identify the feasible sequences for iteration. As the nature of assembly sequence planning is a discrete type of problem Binary PSO technique is used.

Item Type: Article
Additional Information: Export Date: 28 January 2013 Source: Scopus Language of Original Document: English Correspondence Address: Mukred, J. A. A.; Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310, Skudai, Johor, Malaysia References: Liu, A., Yang, Y., Xing, Q., Yao, H., Zhang, Y., Zhou, Z., (2011) Adv. Sci. Lett., 4, p. 2180; Lv, H., Lu, C., (2010) Int. J. Adv. Manuf. Technol.; Bourjault, A., (1984), Doc. d'Etat Universite de Franche-Comte, BesanconHomem de Mello, L.S., Sanderson, A.C., (1991) IEEE Trans. Robot. Autom.; Baldwin, D.F., Abell, T.E., Lui, M.-C., de Fazio, T.L., Whitney, D.E., (1991) IEEE Trans. Robot. Autom.; Milner, J.M., Graves, S.C., Whitney, D.E., (1994) Proceedings of the IEEE International Conference on Robotics and Automation, pp. 2058-2063; Wilson, R.H., (1995) IEEE Trans. Robot. Automn., 11, p. 308; Motavalli, S., Islam, A., (1997) Computational Industrial Eng., 32, p. 743; Bonneville, F., Perrard, C., Henrioud, J., (1995) Proceeding of the IEEE Symposium on Emerging Technologies and Factory Automation, 2, pp. 231-239; Sebaaly, M.F., Fujimoto, H., (1996) Japan/USA Symposium on Flexible Automation, 2, p. 1235; Sebaaly, M.F., Fujimoto, H., (2000) IEEE Conference on Evolutionary Computation, 401; de Lit, P., Latinne, P., Rekiek, B., Delchambre, A., (2001) International Journal Production Res., 39, p. 3623; Smith(Chen), S.F., Liu, Y.J., (2002) Journal Industrial Technology, 17; Smith(Chen), S.F., (1998) Proceedings of the 24th ASME Design Automation Conference; Tseng, H.E., Li, J.D., Chang, Y.H., (2004) International Journal Prod. Res., 42, p. 2243; Marian, R.M., Luong, H.S., Abhari, K., (2006) Computational Industrial Eng., 50, p. 503; Failli, F., Dini, G., (2000) Proceedings of the 2nd CIRP International Seminar on Intelligent Computation in Manufacturing Engineering, pp. 227-232; Wang, J.F., Liu, J.H., Zhong, Y.F., (2005) International Journal Advance Manufacturing Technology, 25, p. 1137; Zhan, Z.H., Zhang, J., (2009) Applications of Evolutionary Computing, pp. 117-122. , Tubingen, Germany; Sanderson, A.C., Homem de Mello, L.S., Zhang, H., (1990) Artificial Intelligence, 11, p. 62; Eberhart, K., (2001), and Shi, Morgan Kaufmann Division of Academic PressChoi, Y.K., Lee, D.M., Cho, Y.B., (2009) Int. J. Adv. Manuf. Technol., 42, p. 180
Uncontrolled Keywords: Assembly sequence planning, Particle swarm optimization.
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 22 May 2013 00:16
Last Modified: 22 May 2013 00:16
URI: http://eprints.um.edu.my/id/eprint/6127

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