INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 681
STUDYING TIME STANDARDS FOR SEWING PRODUCTS ON VARIOUS
SEWING MACHINES
Kambarov Jamoliddin Xikmatillayevich
Kokand university DSc, professor
Mamatkulova Saida Rakhmatovna
Fergana State University of Technology
Department of Light Industry Engineering Senior Lecturer (PhD)
saida.mamatqulova.1989@gmail.com
Abstract:
this article deals with time standards and main tasks, equipment, production
volume increase and construction of new flow lines and production efficiency improvement
in light industrial enterprises.
Key words:
knitwear, breathability, hygroscopicity, heat transfer, physiological conditions,
functional knitted fabrics, hood, camouflage.
One of the main tasks facing the industrial enterprises of our republic today is the
modernization of equipment, increasing the volume of high-quality and stylish clothing
production, building flexible new production lines, and improving production efficiency
through the rapid development of the garment industry.
To successfully accomplish these tasks, the enterprises need to be reconstructed, production
needs to be fully mechanized and automated, and technology needs to be improved.
The creation of modern low-operation technologies is one of the promising directions for
improving the processing of garment products.
In this regard, reducing the seams in the construction of clothing details and parts as much as
possible, applying wet heat treatment, shaping, fastening, and decorating materials in single-
process machines like vibromechanics, combining processes, and widespread use of adhesive
materials are among such low-operation technologies.
Currently, in the garment industry, the manual labor share at the garment modeling stage is
still significant, which slows down the growth of labor productivity. Therefore, much work is
being done in terms of mechanizing production. These include high-speed sewing machines
and semi-automated equipment, as well as wet heat treatment devices.
In addition to accomplishing the tasks mentioned below, developing time standards for
sewing operations on modern sewing machines is one of the urgent issues facing garment
manufacturing enterprises.
When determining the time spent, the labor time standard is the norm for the product being
manufactured (standard) or the theoretical justification for the time spent on each operation in
the sewing process.
Thus, the technological processes in garment enterprises include all production processes,
and labor productivity constitutes 85-90%.
The time standards for sewing various products, developed by scientists from Moscow State
University, are shown in the tables below.
Table 1.1
Time Spent on the Production of Men's Shirts and Outerwear
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 682
Product
Name
Time Spent on Product Sewing at Home
Service (in minutes)
Time Spent by
Individual
Seamstress
(in
minutes)
Time Spent
on Cutting
Work
(in
minutes)
Hig
hest
Cate
gory
Power
of
I-
Grade Brigade
Power of II-
Grade
Brigade
Lo
w
Med
ium
Hig
h
Lo
w
Me
diu
m
Hi
gh
Hig
hest
Cate
gory
I
Cate
gory
II
Cate
gory
Enter
prise
of the
Highe
st
Categ
ory
I
and
II
Cate
gori
es
Winter Coat 26,0 18,
2
16,5 14,8 16,
8
15,
3
13,
8
31,2 21,8 20,2 3,76
2,20
Seasonal
Coat
24,0 16,
9
14,5 13,0 14,
9
13,
5
12,
1
28,8 19,2 17,9 3,76
2,2
Jacket
23,5 15,
5
14,1 12,7 14,
5
13,
2
11,
9
28,2 18,6 17,4 3,36
1,96
Trousers
4,5
3,5 3,2
2,9
3,3 3,0 2,7 5,4
4,2
4,0
1,17
0,75
Vest
10,8 7,7 7,0
6,3
7,2 6,5 5,9 13,0 9,2
8,6
1,76
1,01
Medium-
Season Coat 15,0
12,
1
11,0 9,9
11,
2
10,
2
9,2 18,0 14,5 13,4 2,10
1,50
Cloak
14,5 11,
0
10,0 9,0
10,
5
9,5 8,6 17,4 13,2 12,6 2,10
1,50
Quilted
Jacket
12,0 9,4 8,5
7,7
8,7 7,9 7,1 14,4 11,3 10,5 1,62
1,15
Lined
Jacket
9,0
7,3 6,6
5,9
6,6 6,0 5,4 10,8 8,8
7,9
1,62
1,15
Quilted
Vest
9,1
7,2 6,5
5,9
6,4 5,8 5,2 10,9 8,6
7,7
1,32
0,95
Natural Fur
Coat
26,0 18,
2
16,5 14,8 16,
5
15,
0
13,
5
31,5 21,8 19,8 3,76
2,20
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 683
Half-
Overall
6,9
4,6 4,2
3,8
4,3 3,9 3,5 8,3
5,5
5,2
1,56
0,84
Men's
Waistcoat
5,0
4,6 4,2
3,8
4,4 4,0 3,6 6,0
5,5
5,3
1,36
0,94
The time standards for sewing various products, developed by scientists from Moscow State
University, are shown in the tables below. These standards serve as a reference point for
optimizing labor efficiency and achieving higher production output in garment manufacturing.
They are based on detailed analysis and observation of sewing operations under different
machine settings and materials used.
To effectively apply these time standards in production environments, it is crucial to consider
factors such as machine type, operator skill level, and the complexity of the garment being
produced. High-speed, multi-functional sewing machines can significantly reduce cycle times
compared to traditional machines, allowing for quicker completion of tasks and, consequently,
higher throughput in garment production.
Moreover, the use of time standards in combination with advanced technologies like
automated sewing systems and robotics is expected to revolutionize the garment industry. For
instance, robotic arms equipped with vision systems are increasingly being integrated into
production lines for tasks such as fabric handling, pattern placement, and quality control,
further reducing manual intervention and enhancing the speed and accuracy of sewing
operations.
The introduction of automated systems also helps in overcoming labor shortages, which is a
growing challenge in many regions. Automated sewing machines not only speed up the
production process but also reduce human errors, leading to more consistent and higher-
quality products.
Incorporating these time standards and modern technologies allows enterprises to achieve a
higher degree of flexibility in production, enabling them to switch between different garment
types with minimal downtime. This flexibility is particularly important in the current market,
where consumer demands for personalized and diverse clothing items are increasing.
Furthermore, optimizing sewing time standards can have a significant impact on reducing
production costs. By minimizing the time spent on each sewing operation, enterprises can
lower labor costs while maintaining or improving product quality. This reduction in labor
costs, combined with increased production efficiency, contributes to the overall
competitiveness of garment enterprises on a global scale.
The integration of efficient time standards also aligns with the broader trends of sustainability
and eco-friendly production practices. By reducing the number of operations required to
create a garment, energy consumption and material waste are minimized, contributing to a
more sustainable and environmentally friendly manufacturing process.
In conclusion, the development and implementation of time standards for sewing operations,
coupled with the modernization of equipment and automation of production processes, are
essential for improving the competitiveness and efficiency of the garment industry. The
future of garment manufacturing lies in the continuous improvement of production processes,
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 684
the adoption of cutting-edge technologies, and the alignment of manufacturing practices with
the evolving demands of consumers and the global market.
The process of establishing time standards for sewing operations has a significant impact on
the productivity and efficiency of garment manufacturing. In particular, it provides clear
guidelines that allow manufacturers to estimate production capacity, allocate resources
effectively, and optimize labor allocation.
In traditional garment production processes, where sewing is done manually or with limited
automation, the time spent on each operation can vary greatly depending on the complexity
of the design and the experience of the workers. However, with the application of time
standards, it becomes possible to streamline operations by clearly defining how long each
task should take under optimal conditions. This standardization helps companies set realistic
production goals, track performance, and ultimately improve profitability.
Looking ahead, the integration of cutting-edge technologies such as artificial intelligence (AI),
machine learning (ML), and the Internet of Things (IoT) will revolutionize the way time
standards are developed and implemented. For instance, AI-powered sewing machines could
adjust sewing speed in real time based on fabric type, design complexity, or machine
performance, thereby optimizing time standards dynamically.
Additionally, real-time data collection through IoT devices can provide insights into
production efficiency, machine downtime, and labor performance, which can be used to
adjust time standards more accurately and promptly. This real-time approach to monitoring
and adjusting time standards will allow garment manufacturers to achieve even greater levels
of productivity and adaptability.
Conclusion:
In conclusion, establishing and applying accurate time standards for sewing
operations is essential for improving the efficiency, cost-effectiveness, and competitiveness
of the garment industry. By considering factors such as machine type, worker skill levels,
garment complexity, and material properties, manufacturers can create realistic and practical
benchmarks that optimize labor and production processes. Moreover, with the ongoing
advancements in technology and automation, the future of garment production will be
increasingly driven by real-time data and machine learning, further enhancing the role of time
standards in achieving high-quality, cost-effective production.
Based on the tables presented above, it is important to note that the average time standards
for the sewing process have been developed by Russian scientists for seamstresses in
household service units and individual (home-based) tailors and cutters. However, the brand
and model of the sewing machine equipment used in these standards were not specified. In
recent years, depending on the technical level and capabilities of sewing production
enterprises, time standards for various assortments have been recommended.
Changes in science and technology, as well as the evolving period of innovation, are
introducing new generations of techniques and technologies, and creating a new foundation
for the economy in complex conditions. Such changes undoubtedly require industry
specialists to possess broad, comprehensive knowledge while simultaneously being focused
on acquiring specific expertise.
References:
[1].Raxmatovna.M.S.(2022). Analysis of women’s clothes sewing-a study to develop a norm
of time spent on the technological process of knitting production. International Journal of
Advance Scientific Research.2(03).16-21.
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 685
[2].Raxmatovna.M.S.(2022).Research on the development of norms of time spend on the
technological process of sewing and knitting production; basic raw materials, their
composition and properties.Innovative Technologica: Methodical Research Journal, 3(03),
28-32. ISSN:2776-0987, Volume3, Issue5,May,2022.7
[3]. Raxmatovna.M.S.(2021). The description of perspective fashion trends in men’s clothing.
Innovative Technological:Methodical Research Journal,2(10),15-20.
[4]. Mamatqulova.S.,& Tadjikuziyev R.(2020).Метод оцiнки рiвня квалiфикаци
ремонтних роботнiкв пiдприемства автомобiльного обслуговувания. Мистецтво
Науковоi Думку,(10), 41-44.
[5].Nizamova, B. B., & Mamatqulova, S. R. (2021). Analysis of the Range Of Modern
Women's Coats. The American Journal of Engineering and Technology, 3(9), 18-23.
[6]. Tursunova, X.Sh., Mamatqulova Saida Rahmatovna. (2020). Ayollar paltosi uchun
gazlamalar taxlili. 3 rd international congress of the human and social science researches
(itobiad).
