基于模块化的服装混合流水线平衡优化

doi:10.13475/j.fzxb.20210707907

Abstract

Abstract:

Targeting at multi-variety, small-batch and short cycle features in garment production, a garment intelligent production scheduling algorithm based on modularization is proposed to facilitate rapid production of multiple garments on a hybrid assembly line. On the basis of garment modules, the joint optimization model was established including ordering production tasks and assigning modular garment production process. The target tracking genetic algorithm was designed to set up the model, to achieve the optimization of the production sequence and the automatic arrangement of the garment manufacturing process on the assembly line. Taking two similar shirts for examples, the smoothness index and line efficiency of the designed modular garment hybrid assembly line reach 3.359 and 97.9% respectively. Compared with single-piece flow production of small batch, the modular production has significantly improved the balance of the assembly line, providing theoretical guidance for the promotion of garment intelligent manufacturing and lean production.

Key words: modularization production, garment assembly line, assembly line balance, production order, production scheduling algorithm, garment intelligent prodution

CLC Number:

TS941

ZHENG Lu, YAN Weixiong, HU Jueliang, HAN Shuguang. Balanced optimization of garment hybrid assembly line based on modularization[J].Journal of Textile Research, 2022, 43(04): 140-146.

Figures/Tables 6

Tab.1

Symbols description"

参数	表示含义
i	表示不同工序 $(i = 1,2, …, N)$
j	表示1个循环中第j件服装,也表示第j个投产排序阶段 $(j = 1,2, …, t, …, D)$
l	第l款服装 $(l = 1,2, …, L)$
C	生产节拍
SI	工作站平滑系数
$π$	以 $π$ 的编制顺序进行工序分配方案( $π = 1, 2, …, Π$ )
$T (k, π)$	$π$ 的编制方案下,第k个工作站的作业时间
M	在确定的生产节拍和工序时间下的理论最少工作站数
$z (π)$	$π$ 的编制方案下,实际最少工作站数( $π = 1,2, …, Π$ )
$t i l$	第l款服装工序i的作业时间
L	1个循环流程中生产L个款式服装
N	模块化服装的工序数量
$d l$	1个循环流程中,第l款服装的作业数量
D	1个循环流程中,所有款式服装数量,也表示D个阶段(1件服装为1个阶段)
$q l$	1个循环流程中第l款服装在总需求中的比例
$w j l$	第j个阶段(位置)投放第l款服装,取值为0或1
$x i l k π$	$π$ 的编制方案下,第l款服装的第i个作业元素在工作站k上进行作业,取值为0或1
$Y (k, π)$	$π$ 的编制方案下,工作站k是否有被分配工艺元素,取值0或1

Tab.1

Fig.1

Fig.2

Fig.3

Tab.2

Tab.3

References 12

[1]	黄珍珍, 莫碧贤, 温李红. 基于遗传算法及仿真技术的服装流水线平衡[J]. 纺织学报, 2020, 41(7): 154-159.
	HUANG Zhenzhen, MOK Pikyin, WEN Lihong. Garment production line balance based on genetic algorithm and simulation[J]. Journal of Textile Research, 2020, 41(7): 154-159.
[2]	韩曙光, 颜伟雄, 胡觉亮. 模块化生产模式下的服装产品组合优化决策[J]. 纺织学报, 2021, 42(11):151-158.
	HAN Shuguang, YAN Weixiong, HU Jueliang. Optimizaion decision of apparel product portfolio with modular production[J]. Journal of Textile Research, 2021, 42(11): 151-158.
[3]	于小利, 刘咏梅, 黄珍珍, 等. 面向在线个性化定制的婴幼儿连体衣模块化设计[J]. 东华大学学报(自然科学版), 2018, 44(5):734-741.
	YU Xiaoli, LIU Yongmei, HUANG Zhenzhen, et al. Modular design of infant romper for online individual customization[J]. Journal of Donghua Univer-sity(Natural Science), 2018, 44(5): 734-741.
[4]	刘艳梅, 王花娥. 模块化的毛衫产品族设计及评价指标[J]. 纺织学报, 2016, 37(12):97-102.
	LIU Yanmei, WANG Hua'e. Modularized product family design method of sweater and evaluation indexes[J]. Journal of Textile Research, 2016, 37(12): 97-102.
[5]	SHEN X N, YAO X. Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems[J]. Information Sciences, 2015, 298: 198-224. doi: 10.1016/j.ins.2014.11.036
[6]	苏军强, 刘国联, 金春来. 基于模块化生产的服装智能传输系统开发思路[J]. 纺织导报, 2012(1):91-92.
	SU Junqiang, LIU Guolian, JIN Chunlai. An idea for intelligent garment transmission system based on modular production[J]. China Textile Leader, 2012(1): 91-92.
[7]	闫亦农, 刘立枝, 崔慧荣. 直线递进式服装吊挂生产流水线优化设计[J]. 丝绸, 2018, 55(11):67-72.
	YAN Yinong, LIU Lizhi, CUI Huirong. Optimized design of linear progressive hanging production line for garment[J]. Journal of Silk, 2018, 55(11): 67-72.
[8]	张旭靖, 王立川, 陈雁. 基于遗传算法的服装缝制生产线平衡优化[J]. 纺织学报, 2020, 41(2):125-129.
	ZHANG Xujing, WANG Lichuan, CHEN Yan. Balancing optimization of garment sewing assembly line based on genetic algorithm[J]. Journal of Textile Research, 2020, 41(2): 125-129.
[9]	BABAZADEH H, ALAVIDOOST M H, ZARANDI M H F, et al. An enhanced NSGA-II algorithm for fuzzy bi-objective assembly line balancing problems[J]. Computers & Industrial Engineering, 2018, 123: 189-208. doi: 10.1016/j.cie.2018.06.014
[10]	MONDEN Y. Toyota production system: an integrated approach to just-in-time[M]. 4th ed. Boca Raton: CRC Press, 2011: 253-264.
[11]	WANG T, FAN R, PENG Y, et al. Optimization on mixed-flow assembly u-line balancing problem[J]. Cluster Computing, 2018, 22(64): 8249-8257. doi: 10.1007/s10586-018-1738-6
[12]	于昕辰, 曾培峰, 赵冉, 等. 基于蚁群算法的服装生产流水线作业平衡[J]. 东华大学学报(自然科学版), 2014, 40(4): 456-460.
	YU Xinchen, ZENG Peifeng, ZHAO Ran, et al. Garment production assembly line balance based on ant colony algorithm[J]. Journal of Donghua Univer-sity(Natural Science), 2014, 40(4): 456-460.

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工作站序号	B1款工艺元素	A款工艺元素	B2款工艺元素	设备配置	工作站作业时间/s	工作站空闲时间/s
1	8,23	1,2,3,13	—	缝纫机、熨烫机、拷边机	142	2
2	1,2,24	4,5,23,24	—	缝纫机、熨烫机	144	0
3	—	14,15,16	1,2,3	缝纫机、熨烫机、拷边机	141	3
4	—	17,18,19	8,9	缝纫机、熨烫机	141	3
5	3,5,6,9	6,7	—	缝纫机、熨烫机、拷边机	138	6
6	7,10,11	—	5	缝纫机、拷边机	142	2
7	25,26	26	6,10	缝纫机、熨烫机	139	5
8	—	11,12,20,21,27,28	—	缝纫机、拷边机	140	4
9	—	29,30,31	—	缝纫机、锁眼机、钉钮机	142	2
10	—	—	7,11,12,20,23	缝纫机、熨烫机、拷边机	139	5
11	—	—	21,22,24,25,26,27,28	缝纫机、熨烫机	141	3
12	—	—	29,30,31	缝纫机、锁眼机、钉钮机	142	2
13	12,20,21,22,27,28	—	—	缝纫机、拷边机	141	3
14	29,30,31	—	—	缝纫机、锁眼机、钉钮机	142	2

投产排序方式	种群数50,迭代次数200			种群数80,迭代次数500			种群数100,迭代次数1 000
投产排序方式	工作站数量/个	平滑系数(SI)	编制效率(LE)/%	工作站数量/个	平滑系数(SI)	编制效率(LE)/%	工作站数量/个	平滑系数(SI)	编制效率(LE)/%
A→A→A	14	7.897	96.0	14	7.611	96.0	14	6.861	96.0
B→B→B	15	10.536	95.0	15	9.893	95.0	15	7.501	95.0
A→B1→B2	15	13.181	91.4	14	4.000	97.9	14	4.504	97.9
B1→B2→A	15	12.869	91.4	14	3.723	97.9	14	3.443	97.9
B1→A→B2	14	3.761	97.9	14	3.625	97.9	14	3.359	97.9

Balanced optimization of garment hybrid assembly line based on modularization

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