Journal of Textile Research ›› 2020, Vol. 41 ›› Issue (02): 125-129.doi: 10.13475/j.fzxb.20190104905
• Apparel Engineering • Previous Articles Next Articles
ZHANG Xujing, WANG Lichuan, CHEN Yan()
CLC Number:
[1] | CHEN J C, CHEN C C, SU L H, et al. Assembly line balancing in garment industry[J]. Expert Systems with Applications, 2012,39(11):10073-10081. |
[2] | AGPAK K, GOKCEN H. Assembly line balancing: two resource constrained cases[J]. International Journal of Production Economics, 2005,96:129-140. |
[3] |
BECKER C, SCHOLL A. A survey on problems and methods in generalized assembly line balancing[J]. European Journal of Operational Research, 2006,168:694-715.
doi: 10.1016/j.ejor.2004.07.023 |
[4] |
BOYSEN N, FLIEDNER M, SCHOLL A. A classification of assembly line balancing problems[J]. European Journal of Operational Research, 2007,183:674-693.
doi: 10.1016/j.ejor.2006.10.010 |
[5] | ERYÜRÜK S H. Clothing assembly line design using simulation and heuristic line balancing techniques[J]. Tekstil ve Konfeksiyon, 2012,22(4):360-368. |
[6] | FATHI M, ALVAREZ M J, RODRGUEZ V. A new heuristic approach to solving U-shape assembly line balancing problems type-1[J]. World Academy of Science, Engineering and Technology, 2011,59:413-421. |
[7] | 楼亚芳, 张祖芳. 基于虚拟仿真的服装缝制流水线优化[J]. 纺织学报, 2006,27(6):55-57. |
LOU Yafang, ZHANG Zufang. Optimization of garment sewing lines scheduling based on virtual simulation[J]. Journal of Textile Research, 2006,27(6):55-57. | |
[8] |
WONG W K, MOK P Y, LEUNG S Y S . Developing a genetic optimization approach to balance an apparel assembly line[J]. The International Journal of Advanced Manufacturing Technology, 2006,28(3):387-394.
doi: 10.1007/s00170-004-2350-x |
[9] | CHEN J C, HSAIO M H, CHEN C C, et al. A grouping genetic algorithm for the assembly line balancing problem of sewing lines in garment industry[C]// Proceeding of 2009 international conference on machine learning and cybernetics. Baoding: IEEE, 2009: 2811-2816. |
[10] |
ZAMAN T, PAUL S K, AZEEM A. Sustainable operator assignment in an assembly line using genetic algo-rithm[J]. International Journal of Production Research, 2012,18:5077-5084.
doi: 10.1080/00207543.2011.636764 |
[11] | GUO Z X, WONG W K, LEUNG S Y S , et al. Mathematical model and genetic optimization for the job shop scheduling problem in a mixed-and multi-product assembly environment: a case study based on the apparel industry[J]. Computers & Industrial Engineering, 2006(3):202-219. |
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