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Automation of Garments Designing Using 3D Virtual Software: Current Trends and Future Contributions in the 4th Industrial Revolution of Bangladesh

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This research investigates the effect of the 3D virtual garment designing software (i.e., CLO3D, Browzwear) in Bangladesh textile industry. This software automates the garment designing process using a computer can produce virtual garments on digital human model and mimic true-to-life clothes in three-dimensional form. The authors hypothesize that the automation of garment designing have positive impact in Bangladesh textile industry, boosts productivity, minimizes lead time, create diversified garments design quickly, reduces overall cost, and will transforms future garments designing process. Furthermore, considers the automations future advances that it will significantly impact on the 4th industrial revolution. The authors of this study examine the hypothesis with a total of 50 sample response that was collected by snowball sampling method. Finally, by analyzing and evaluating sample variable z value found is 0.65 which falls within the accepted region. The sample proves the hypothesis that there is a positive impact of incorporating virtual garments 3D design software and the future of the clothing design industry will be transformed by this automation.
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1st International Conference on Textile, Apparel and Fashion 2022
26-27 February, 2022, Dhaka-1230, BANGLADESH
* Corresponding authors. Md Tanvir Hossain, Ripon Kumar Prasad Tel.: +8801521469786 , +8801717787470
E-mail addresses: tanvir130006@gmail.com, rkprasad@duet.ac.bd
Automation of Garments Designing Using 3D Virtual Software: Current
Trends and Future Contributions in the 4th Industrial Revolution of
Bangladesh
Md Tanvir Hossain*1, Ripon Kumar Prasad 2, Nadim Mahmud1, Abdur Rahman Talha1 and Abu Darda1
2 Assistant Professor, Department of Textile Engineering,
Dhaka University of Engineering and Technology (DUET), Gazipur-1707, Dhaka, BANGLADESH
1 B.Sc. in Textile Engineering, Department of Textile Engineering
Dhaka University of Engineering and Technology (DUET), Gazipur-1707, Dhaka, BANGLADESH
ABSTRACT
This research investigates the effect of the 3D virtual garment designing software (i.e., CLO3D,
Browzwear) in Bangladesh textile industry. This software automates the garment designing process using
a computer can produce virtual garments on digital human model and mimic true-to-life clothes in three-
dimensional form. The authors hypothesize that the automation of garment designing have positive
impact in Bangladesh textile industry, boosts productivity, minimizes lead time, create diversified
garments design quickly, reduces overall cost, and will transforms future garments designing process.
Furthermore, considers the automations future advances that it will significantly impact on the 4th
industrial revolution. The authors of this study examine the hypothesis with a total of 50 sample response
that was collected by snowball sampling method. Finally, by analyzing and evaluating sample variable z
value found is 0.65 which falls within the accepted region. The sample proves the hypothesis that there is
a positive impact of incorporating virtual garments 3D design software and the future of the clothing
design industry will be transformed by this automation.
Key Words
Garments design, Automation, 4th industrial revolution, Virtual 3D, Computer simulation, Artificial
intelligence.
1st International Conference on Textile, Apparel and Fashion 2022
26-27 February, 2022, Dhaka-1230, BANGLADESH
* Corresponding authors. Md Tanvir Hossain, Ripon Kumar Prasad Tel.: +8801521469786 , +8801717787470
E-mail addresses: tanvir130006@gmail.com, rkprasad@duet.ac.bd
1 Introduction
Garments designing is the process of integrating all design elements to express an idea into the form of
cloths or garments. The traditional system utilizes pen-paper to draw design sketches and a mannequin
to test the final look, drape, and fitting which is very time-consuming and also unable to create complex
design utilizing designer full creativity. Currently, automation of garments designing process using
computer 3D virtual garment designing software (3DVGDS) has been developed that can create virtual
garment design on a digital human model and simulate true to life garment in 3D form. 3DVGDS
mainly includes a 3D human body system, built-in add-on designs, interactive graphical environment to
create garment design, garments pattern and marker making system, close to real-life simulation
system, and so on [1]. Different designs can be compared and technical parameters can be analyzed to
measure problems and artificial intelligence (AI) can suggest the directions for improvement [2]. As a
result, this virtual prototyping technology enables the evaluation of a wide range of garment designs
before they are created. The 3D model can be tailored to fit general body measures including the bust,
waist, hips, abdomen, and so on. This software also has the function to generate garment patterns and
markers from virtual design using computer algorithms for garments automatic cutting that ultimately
minimizes waste [3]. Through automation in operation clothing can be illustrated with less human
interaction.
In the 4th industrial revolution (4IR) automation of garments design and pattern making operation can
possess a huge impact. 4th industrial revolution is the fusion of advanced technology such as artificial
intelligence (AI), robotics, automation, the Internet of Things (IoT), 3D printing, etc. in production and
service activities [4]. As RMG is the major driving industry for the development of Bangladesh,
contributing 83% of total export earnings. The garment design software has been developed by many
companies, of them, the most popular in Bangladesh include Clo3D, Browzwear, Optitex, and
Lectra3D.
Various studies have been done over the past decade in virtual 3D cloth simulation software to enhance
realism [5-8]. Using technological alignment and verification to save time and money on design and
creation, industry 4.0 will require a comprehensive platform for just-in-time customization.
Complicated and time-consuming processes will no longer limit the design. Designers can realize their
original contents by utilizing a variety of materials and technologies to more effectively and efficiently
portray their thoughts. So that, many time-consuming works can be completed within a short time
ultimately saving cost as well as improving quality [9]. Furthermore, the conclusion reached is that by
using Clo3D and iClone software speeds designing and innovation mechanisms enable faster
production and supply and satisfy customer satisfaction quickly. Digital human modeling is a useful
technique for the development of smart design, as it prevents the wearer's performance from
deteriorating, resulting in a more successful design [10]. These modern technologies can promote
creativity and sustainability in previously unimaginable ways, allowing for the creation of a complex
design. This automation also enables the integration of several other technologies like artificial
intelligence, which can help with the creative process, and rapid prototyping, and can be used to
manufacture fashion products automatically [11]. 3DVGDS also assesses the clothing's fit and comfort,
as well as provides a benchmark for customers. Customers, on the other hand, can see the visual of the
garments and their lively effect up close, as well as communicate with designers in real-time for any
additional changes. The details of Clo3D modification are highly likely. Concluded that user
communication and detail restoration, the system still has a lot of potential for development [12].
Artificial Intelligence model can determine not only the overall fitness levels of the clothes, but also
their fitness levels, quickly, precisely, and autonomously using a virtual mannequin which offers a
practical and effective way to assess garment fit levels without having to put them on, and can be used
to improve customer satisfaction in both online and in-store buying. Also by learning daily datasets
1st International Conference on Textile, Apparel and Fashion 2022
26-27 February, 2022, Dhaka-1230, BANGLADESH
* Corresponding authors. Md Tanvir Hossain, Ripon Kumar Prasad Tel.: +8801521469786 , +8801717787470
E-mail addresses: tanvir130006@gmail.com, rkprasad@duet.ac.bd
allows improving the performance of AI systems over time [13]. The future phase will be to allow for a
more natural performance of human gestures into the 3D design process by using automatic shape
recognition from fashion designer sketches, clothing a mannequin directly in the virtual environment
[14].
Hence, the development of 3DVGDS is critical in the fashion industry. To the best of the authors'
knowledge, no research discoveries about the practice of 3D virtual garment design software in the
Bangladesh readymade garments (RMG) sector exist. So, in this present study authors intend to
discover the effect of the novel computer program based automation system of garments designing in
Bangladesh prospective becoming which becoming popular and called as 3DVGDS. By studying
existing trends, this study explores the effects of the automation of Bangladesh's readymade garments
sector's fashion designing process utilizing 3D virtual designing and simulation computer software. In
addition, it looks for the probable future contributions of 3DVGDS and its impact on the 4th Industrial
Revolution.
2 Methodology
In this qualitative research, phone calls and questionnaires have been used to collect data from various
stakeholders, including industrial designers, factory managers, textile and apparel students, university faculty.
2.1 Research Approach
A key focus is to investigate the impact of 3D virtual garment designing software (3DVGDS) on productivity
and quality in the garment industry to keep pace with IR 4.0. Special attention is paid to how 3DVGDS
accelerates the fourth industrial revolution in Bangladesh and contributes to the building of Bangabandhu Sheikh
Mujibur Rahman the father of the nation's Digital Bangladesh.
2.2 Problem Analysis
The Readymade Garment industry is Bangladesh's biggest foreign exchange earner. IR 4.0 demands the
transformation of RMG for the Bangladeshi industry to become automated. Thus we focus on the use of Virtual
garments 3D sampling software to boost productivity and quality. A survey has been carried out to learn about
the current scenario and garments simulation produced using CLO3D software to acquire practical experience.
2.3 Develop Questions
The questionnaire is designed to pull out information that will help shape a clear picture of how 3DVGDS
impacts productivity and quality in the garment industry and how it relates to Industry 4.0. The issues that will
be examined is whether or not virtual garments 3d design software (i.e., CLO3D, Browzwear) boosts
productivity, minimizes lead time, create diversified and complex garments design quickly, easier to create and
edit, reduces overall cost, and transforms future garments designing process, will contribute to the 4th Industrial
Revolution are the questions.
2.4 Data Collection and Sampling
To answer the research questions is to keep pace with IR 4.0, the study focuses on the impacts of 3D Virtual
Garments Design Software on productivity and quality, a total of 50 sample response was collected by snowball
sampling method among various stakeholders, including industrial designers, managers, textile, apparel students,
and faculty members via phone calls, Google form in Bangladesh.
1st International Conference on Textile, Apparel and Fashion 2022
26-27 February, 2022, Dhaka-1230, BANGLADESH
* Corresponding authors. Md Tanvir Hossain, Ripon Kumar Prasad Tel.: +8801521469786 , +8801717787470
E-mail addresses: tanvir130006@gmail.com, rkprasad@duet.ac.bd
2.5 Data Analysis
The analysis is carried out using qualitative content analysis, which is used to classify and reduce a multitude of
respondent words into a few meaningful categories. Origin Pro software is used to analyze and represent data.
2.6 Measure
A random sample of 50 people from the population participated in this study. 3D Garments fashion designers
from reputed industries, factory managers, prospective graduates student, and faculty members joined in this
research.
3 Findings And Analysis
Survey respondents are mostly garments designers (44%) and factory managers (22%) who have the expertise
and direct user experience on 3DVGDS. Along with university faculties and students give their opinion.
Likert’s five-point scale Strongly agree (SA), Agree (A), Neutral (N), Disagree (D), Strongly disagree (SD) is
used for data quantification.
Opinion
Frequency Point
Response on Variable 1
Response on Variable 2
Response on Variable 3
Response on Variable 4
Response on Variable 5
Response on Variable 6
Response on Variable 7
Outcome
Variable 1 * Point
Variable 2 * Point
Variable 3 * Point
Variable 4 * Point
Variable 6 * Point
Variable 7 * Point
SA
5
22
18
27
22
17
12
21
110
90
135
110
60
105
A
4
24
28
15
24
24
28
23
96
112
60
96
112
92
N
3
2
3
6
3
8
8
4
6
9
18
9
24
12
D
2
1
3
1
1
1
1
1
2
6
2
2
2
2
SD
1
1
1
1
0
0
1
1
1
1
1
0
1
1
Total
15
50
50
50
50
50
50
50
215
218
216
217
199
212
Standard
value
3.5
Weight Average =
4.24
1st International Conference on Textile, Apparel and Fashion 2022
26-27 February, 2022, Dhaka-1230, BANGLADESH
* Corresponding authors. Md Tanvir Hossain, Ripon Kumar Prasad Tel.: +8801521469786 , +8801717787470
E-mail addresses: tanvir130006@gmail.com, rkprasad@duet.ac.bd
Outcome = Frequency point * Response on Variable (Survey Figure)
Total Outcome = 215 + 218 + 216 + 217 + 207 + 199 + 212 = 1484
Weight Average = Total Outcome /Sample Size = 1484/350 = 4.24 which is higher than standard value 3.5. So, the
respondents are positive about the impact of 3DVGDS uses in garment industry.
Hypothesis Test
Null Hypothesis: µ≥3.5 & Alternative Hypothesis: µ<3.50
At 95% level of significance, one tail Z test is done in the following table:
Confidence Level
Z value
Z observed Value
Decision
95%
1.64
0.74
Accepted
Standard Error Calculation
Standard Deviation, ∂ = (since, Binomial Variance= npq)
=
= 5
Where,
n = 100
p = 0.50
q = 1-p = 1-.05
= 0.5
Standard error of the mean for infinite population, ∂χ = ∂/√n
= 5 /√100
= 0.5
4 Result and Discussion
4.1 Productivity of garments design process using 3DVGDS
In the case of productivity majority of the designer who is currently working in 3DVGDS agree that it boost production.
Since 3DVGDS has graphical interactive tools resulting less manual interaction to accomplish the sampling. Thus, 96%
people has agreed, strongly agreed that it boost productivity.
4.2 The lead time of garments design process using 3DVGDS
The investigation shows that most of the 3DVGDS stakeholders agreed that the lead time of the garments design process is
minimized. Since 3DVGDS uses artificial intelligence, less manual work is needed to accomplish sampling. Thus, 90% of
people agree that it minimize lead time.
4.3 Creating and editing garments design using 3DVGDS
The survey found that creating cloth design and editing in 3DVGDS is easier than the conventional process As this is
software-based 3d sampling, easy to customize thus after getting reviews from buyers it is easy to edit and resend it.
4.4 Design diversification and complexity of designs using 3DVGDS
The inquiry proves that the designs made by 3DVGDS is more diversified. Besides, complicated and hard design can be
done easily. Software-based 3D sampling makes it easy to customize, so after buyers have reviewed it, it becomes easy to
edit and resend.
4.5 Future contribution in garments designing process using 3DVGDS
Most of the survey partaker agrees upon the future potential of 3DVGDS. This innovation will transform the future of the
garment design sector. Usually, sampling has done by the manual process. Nowadays 3DVGDS has changed the whole
method to digital. Therefore it will transform the future apparel designing processes.
4.6 3DVGDS uses 4th Industrial Revolution perspective
In the 4th industrial revolution artificial intelligence, robotics, the internet of things (IoT), 3D printing, quantum computing,
and other technologies are incorporated. Due to the high technological advancements provided by the 3DVGDS, in the 4th
industrial revolution, Bangladesh's RMG sector will benefit greatly from it.
1st International Conference on Textile, Apparel and Fashion 2022
26-27 February, 2022, Dhaka-1230, BANGLADESH
* Corresponding authors. Md Tanvir Hossain, Ripon Kumar Prasad Tel.: +8801521469786 , +8801717787470
E-mail addresses: tanvir130006@gmail.com, rkprasad@duet.ac.bd
4.7 Simulations of 3D Virtual Garments Design Software
From pattern making, marker making to final garments has presented in those pictures. The last section has discussed the
survey report regarding the benefits of 3DVGDS, impacts in the 4th industrial revolution in Bangladesh. Now, it has
presented the real simulation from that software and understands how it works.
Fig. 1. Simulation for women trouser, shirt.
This section, focus on making simulation practically by using CLO3D software. Simulation for men t-shirts, shorts, women trouser, shirt,
hoody have produced.
Fig. 2. Simulation for women trouser, hoody.
Conclusion
To keep pace with IR 4.0, the study investigates the impacts of 3D virtual garment designing software (3DVGDS) on
productivity and quality in the garment industry. Based on snowball sampling, the authors of the study examined the
hypothesis with a total of 50 sample responses. Analyzing and evaluating the sample variable, the z value was found to be
0.65, falling within the acceptable range. This sample confirms the hypothesis that incorporating virtual garments 3D design
software has a positive impact, while this automation could transform the future of clothing design. The authors'
recommendation is to adapt 3DVGDS software to meet the demand of the 4th industrial revolution.
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1st International Conference on Textile, Apparel and Fashion 2022
26-27 February, 2022, Dhaka-1230, BANGLADESH
* Corresponding authors. Md Tanvir Hossain, Ripon Kumar Prasad Tel.: +8801521469786 , +8801717787470
E-mail addresses: tanvir130006@gmail.com, rkprasad@duet.ac.bd
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A Case Study on Manufacturing Processes for Virtual Garment Sample
  • Y L Choi
Choi, Y.L., A Case Study on Manufacturing Processes for Virtual Garment Sample. Fashion & Textile Research Journal 19(5), 595-601 (2017).