Journal of Textile Research ›› 2020, Vol. 41 ›› Issue (03): 143-147.doi: 10.13475/j.fzxb.20190302305

• Apparel Engineering • Previous Articles     Next Articles

Optimization of apparel material distribution route based on carbon emission

ZHANG Xujing, WANG Lichuan, CHEN Yan()   

  1. College of Textile and Clothing Engineering, Soochow University, Suzhou, Jiangsu 215021, China
  • Received:2019-03-05 Revised:2019-12-17 Online:2020-03-15 Published:2020-03-27
  • Contact: CHEN Yan E-mail:yanchen@suda.edu.cn

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Abstract:

In order to reduce the carbon emission in the distribution process of garment materials, and solving problems in route planning and the determining the number of workers in the material distribution process, a multi-objective optimization with minimum carbon emissions and minimum number of vehicles was proposed. A men's shirt production line with three types of floor planning according to process flow, machine type and clothing parts, was taken as an example. A multi-objective optimization model of material distribution path was established, and the NSGA-II algorithm is used to solve the problem. The results show that all three floor layouts require 4 operators to distribute. By comparison, the total distance of material distribution according to the type of machines is 2 979 m, and the carbon emission was also the least, which is 0.157 kgCO2e. The total distance and the carbon emission of material distribution in the garment components layout are the most. The feasibility of the model and algorithm are validated through experiment, and a variety of material distribution models for apparel manufacturers are proposed based on this research.

Key words: apparel production line, carbon emission, material distribution, NSGA-II algorithm, low carbon distribution model

CLC Number: 

  • TS941

Fig.1

Example of coding operation"

Tab.1

Short-term respiratory volume of Chinese residents"

活动程度 呼吸量/(L·min-1)
休息 6.1
坐 7.3
轻微活动 9.1
中等活动 24.4
重体力活动 36.6
极体力活动 60.9

Tab.2

Workstation data of process layout"

工作地
编号		 坐标 数量/
捆		 最早
时间/s		 最晚
时间/s		 服务
时间/s
1 (18, 8) 6 0 40 20
2 (7, 18) 10 0 40 20
3 (14, 3) 8 0 84 20
4 (15, 8) 8 0 40 20
5 (13, 12) 2 0 50 10
6 (7, 8) 8 20 80 20
7 (19, 12) 2 5 65 10
8 (9, 3) 6 20 60 20

Tab.3

Workstation data of machine layout"

工作地
编号		 坐标 数量/
捆		 最早
时间/s		 最晚
时间/s		 服务
时间/s
① (18, 12) 4 20 80 20
② (10, 8) 2 20 94 10
③ (19, 8) 6 0 50 10
④ (8, 4) 4 20 60 20
⑤ (13,8) 2 5 65 10
⑥ (16, 8) 12 0 40 20
⑦ (18, 4) 8 0 40 20
⑧ (12, 4) 4 0 60 20
⑨ (9, 18) 8 0 40 20

Tab.4

Workstation data of garment components layout"

工作地
编号		 坐标 数量/
捆		 最早
时间/s		 最晚
时间/s		 服务
时间/s
(1) (24, 4) 4 0 40 20
(2) (22, 11) 2 0 50 10
(3) (22, 17) 12 0 40 20
(4) (13, 4) 10 0 40 20
(5) (19, 4) 4 0 40 20
(6) (8, 22) 2 78 138 10
(7) (11, 17) 10 0 60 20
(8) (6, 11) 2 5 65 10
(9) (26, 11) 2 225 285 10
(10) (18, 22) 2 20 80 10

Tab.5

Material distribution path and distance of different workstation layouts"

工作地
布置方式		 车辆
(配送人员)
编号		 路径
方案		 距离/
m
A 0-3-8-0 516
工序流程 B 0-1-7-0 936
C 0-4-5-0 813
D 0-2-6-0 739
A' 0-⑤-⑥-0 727
工艺种类 B' 0-⑧-④-0 475
C' 0-⑦-③-①-0 939
D' 0-⑨-②-0 838
A″ 0-(4)-(7)-0 887
B″ 0-(5)-0 682
服装部件 C″ 0-(8)-(2)-0 985
D″ 0-(1)-0 844
E″ 0-(3)-(10)-(6)-(9)-0 1 881

Tab.6

Carbon emission of men's shirt material distribution"

工作地布置方式 碳排放量/kgCO2e
工序流程 0.159
工艺种类 0.158
服装部件 0.280
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