6
REVISTA INNOVACIÓN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN 2708-0935
RECIBIDO 15/09/2022 ACEPTADO 25/10/2022 PUBLICADO 30/03/2023
Md. Shazzat Hossain
University of Dhaka, Dhaka,
Bangladesh.
Md. Abdus Samad
University of Dhaka, Dhaka,
Bangladesh.
Md. Hasan Ali
University of Dhaka, Dhaka,
Bangladesh.
Prahlad Sutradhar
University of Dhaka, Dhaka,
Bangladesh.
Jubayer Islam
University of Dhaka, Dhaka,
Bangladesh.
Md. Hazrat Ali
Bangladesh University of Textiles .
Dhaka, Bangladesh.
Md Al-Amin
Bangladesh University of Textiles .
Dhaka, Bangladesh
Md. Zahir Uddin Babar
Green University of Bangladesh.
Dhaka, Bangladesh.
Md. Rezaul Karim
University of Rajshahi. Rajshahi,
Bangladesh
Mohammad Ullah
Khulna University of Engineering and
Technology. Khulna, Bangladesh
ARK: ark:/42411/s11/a76
PURL: 42411/s11/a76
REVISTA INNOVACN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN Nº 2708-0935
RESUMEN
Este trabajo de investigación indaga sobre los diferentes atributos de los procesos asistidos por
ordenador en la producción de prendas de vestir. Esta perspectiva de investigación fue realizada
por nuestro valiente equipo de 2021 a 2022. Revela información adecuada sobre la intención de
la industria de la confección y los criterios para la elección de software CAD/CAM. Por el bien de
esta investigación, hemos visitado más de 600 industrias para recopilar datos en bruto; Cada
industria trató de asistir a esta investigación de una región diferente de Bangladesh de buena
gana. Después de recoger todos los datos en bruto de la industria de la confección. Los datos de
la industria de prendas de vestir fueron coordinados por el programa Excel. Consecuentemente,
los datos fueron analizados e implementados estadísticamente para identificar los atributos de la
Industria de la Confección para la satisfacción con el software CAD/CAM. Este proceso también
detecta muchos retos y define y aconseja una solución adecuada a los problemas a los que se
enfrenta la industria de la confección en la situación actual. Este trabajo de investigación muestra
información adecuada sobre los criterios y la demanda de la industria de la confección a la hora
de adquirir software asistido por ordenador
Palabras claves:
Software CAD y CAM textil, diseño asistido por ordenador, fabricación asistida por
ordenador, proceso asistido por ordenador, software CAD y CAM de prendas de vestir.
ABSTRACT
This research paper inquires about different attributes of Computer-aided processes in garments
production. This perspective Research was done by our courageous team from 2021 to 2022. It
reveals adequate information on the Garments industry's Intension and criteria for choosing
CAD/CAM software. For the sake of this Research, we visited more than 600 industries to gather
raw data; Every Industry tried to attend this Research from a different region of Bangladesh
willingly. After collecting all raw data from the garments industry. The data of the Garments
industry was coordinated by Excel program. Consequently, the data was analyzed and
implemented statistically to identify the Garments Industry attribute for satisfaction with
CAD/CAM software. This process also detects many challenges and defines and advises a proper
solution to the problems that the Garments industry is facing in the current situation. This
research paper demonstrates adequate information about the Garment's criteria and demand in
purchasing garments Computer-aided software.
Keywords:
Textile CAD and CAM software, Computer aided design, computer aided manufacturing,
computer aided process, Garments CAD and CAM software.
REVISTA INNOVACN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN Nº 2708-0935
Introducción
Nowadays, the garments industry faces numerous problems that must be addressed through
constant stamina and Targeted Research. Insufficiency is the constant companion of Bangladesh
that surprisingly influenced Industry behavior [1]. The clothing market is dependent on foreign
buyers because of targeted profit. Nevertheless, in this Modern period, buyer expectation is higher
than usual. So every industry focuses on buyer demand and satisfaction. Buying behaviors of a
Buyer and uses of the Computer-aided software of industry rely on different aspects of retention,
perception, financial state, and the other Circumstance. Owing to the issue, every vendor needs
to realize what the industry is willing to buy and use and what affects Buy er satisfaction [5].
With the modern revolution, industry and buyer behavior have alternated dramatically in the past
few years. Every Buyer focuses on their money and how they spend more than ever before,
Rather than wasting energy and time. The Buyer wants products that satisfy their Criteria, and
the industry relies on some affordable attributes [6]. Foreign buyers are not a complicated
attitude but are harder to define [3].Computer-aided processes play a very far-reaching role in
garment production. The CAD and CAM software is Garments products capable of enhancing
garment production. It also played a vital role in Buyer satisfaction and provoked buyer loyalty,
which impacted the specific company's reputation. The majority, Companies are aware of
increasing the production flow of an industry [13]. However, it depends on many affordable
attributes [1]. Now a day, the demand has increased dramatically in the marker [10]. Hence, this
Research focuses on the present study to explore the garments industry behavior in using
CAD/CAM software and Buyer satisfaction. Regarding performing the research analysis, The
garments industry and buyer satisfaction were treated as the root point. Eventually, the Different
Respondent sentiment was considered about the Attribute of garments Cad and Cam
software. [11] . This Research detects the preferable Attribute for Using the behavior of Garments
Computer aided process [2].
Procedure
The goal of this inquiry was to collect the data with specific Research on numerous Bangladeshi
Garments industry on the different aspects such as quality, time, performance, price, mistake,
production size, prices, etc. The Buyer expectation was implemented using targeted
Research [12]. The Cad and cam users experimented with specific designing with buyer
requirements. They enabled the Buyer to write their honest opinions and expectation of demand
about the Cad and cam software [2]. The Goal of this inquiry was to collect the data with a specific
research of numerous Bangladeshi Garments industry on the different aspects such as quality,
time, performance, price, mistake, production size, prices, etc. The Buyer expectation was
implemented by using targeted research [12]. The Cad and cam user were experimented with
REVISTA INNOVACN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN Nº 2708-0935
specific designing with buyer requirements. This enabled the Buyer to write their open opinions
and expectation of demand about the Cad and cam software [2].
Obstacle Analysis
The analysis has been performed to detect Buyer demand and the Attribute of Cad and cam
software. Simultaneously it determines the industry aspects of using specific software and its root
causes [13]. The general Research was conducted through Cad and Cam engineers in the targeted
industry, and this study tried to focus on the Buyer's needs. This Research was initially carried
out to collect valuable data with Targeted criteria that create a sense of overall behavior for
Industry and Buyers. Overall, using software's behavior positively impacts both Attribute and
gratification, ultimately leading to customer Satisfaction [4].
Evolve Questions
The provided questions and experiments are created to adequately collect information to
construct a view of a user and Buyer's intentions regarding disjunction variables such as time,
price, activity, design quality, preference, and reason for using specific software and Buyer
expectation [5]. The user can answer with "a tick mark" and show their experiments in garments
CAD and CAM lab. This study expounds on the psychology of different users regarding Garments
CAD and CAM software and Buyer demands [8].
Data assortment and Inspect
There were 600 users and 600 buyers attending this research experiment; most were aged 18 to
55. Most respondents are Bangladeshi users and foreign buyers [14]. Most of the experiments
and interview locations were chosen at the industry lab, where engineers from different industries
use their CAD and CAM software [9].
Final Data Scraping and Analysis
Final Data scraping and analysis was a very challenging part of this Research. Because we have
focused on 2 sites-
1] User experience and satisfaction
2] Buyer criteria and demands
Data analysis is regulated through the User intention and faculty to use specific software in fewer
worthwhile groups. In the same way, it analyzed the Buyer's demands. The statistical data
REVISTA INNOVACN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN Nº 2708-0935
analysis succeeds using the process of an open coding system. Consequently, this method of data
analysis permits us to illustrate the actual data [6]
Magnitude and measurement
For data collecting, we tried to make a sample size of 600 Industry Users for respondents we took
to ensure adequate ratios where most respondents are directly CAD and CAM software experts.
On the other hand, we have collected information from more than 600 buyers about why they
require and Satisfy with specific software [4]. Eventually, the authors can collect Data and
information from respondents from 5 different Industrial areas such as Dhaka, Tangail, Gazipur,
Narayanganj, and Narshingdi [2].
Data manipulation and Integration
Data integration is a vital element of quality research, where this process considers several
analyses with some data points [15]. It controlled ideal and correct decisions with decreasing
misleading data. This process can evaluate and recognize data where the specific statistics come
from respondents. That is why this combination is implemented for quality results [6]
Primary analysis & Discussions
1st and 2nd Priority level To Using CAD/CAM software For a Software user:
In this analytics, two specific charts represent the priority level of the different users with some
attributes. However, the line and bar charts represent exact data and the same value differently.
The Research Determine that the majority of the Software user give first preference to production
and second priority to the quality of the Software performance and production. According to the
linear priority level, this is clear that the highest preference is production size with minimum time.
So every user of an industry chooses the software with Bulk production to save valuable time.
The following Line chart shows the highest priority for software production, where first and second
priority accounted for 71.50% and 69.08%, respectively. The bar diagram clearly expressed that
the price, speed, and mistake are the maximum preferences for second priority. The following
line diagram shows the volume of each priority in percentage.
REVISTA INNOVACN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN Nº 2708-0935
Figure 1: 1st and 2nd priority of software user with Line chart
This bar chart is illustrated the priority level of software user considering with some attribute.
However the following bar diagram created with almost same data and value.
Figure 2: 1st and 2nd priority of software user with Bar chart
Here, in the upper following chart
Production = the amount of production per hour or per unit time.
Price = how much needed to buy a software/ the amount of money.
-20.00%
-10.00%
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
Production Price speed quality Mistake
VOLUME
ATTRIBUTE
Total respondents=600
1st priority 2nd priority Lineal (1st priority)
Production Price speed quality Mistake
1st priority 71.50% 7.28% 7.51% 10.99% 2.72%
2nd priority 69.08% 11.73% 8% 7.25% 3.57%
71.50%
7.28% 7.51% 10.99%
2.72%
69.08%
11.73% 8% 7.25% 3.57%
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
volume
Attribute
Total Respondents=600
1st priority 2nd priority
REVISTA INNOVACN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN Nº 2708-0935
Speed= the software flexibility and how much it faster.
Quality= the quality of the design and final production
Mistake= the possibility of mistake when a software user working on a design.
Quality Selection of CAD and CAM software
For quality selection, Firstly, we have to choose five attributes, such as time to make a design,
the software's brand, the software's price, the possibility of Mistakes when making the design,
and the complexity of the software. A user is keen on software quality, which most users consider
a maximum priority as the software brand and time for making a design. The priority accounted
for Brand, Time, price, mistake, and complexity, respectively, 37%, 35%, 15%, 7%, and 6%,
and it was followed by just 25%, 30%, 20%, 10%, and 15% for second priority. So, the user is
Possibility of the mistake and Complexity of software in case of quality selection. The possibility
of mistakes and complexity of software is almost identical for all types of software. People always
try to focus on the brand and time to make a design. The volume of priority for quality is shown
individually in the following bar chart and pie chart.
Figure 3: Bar chart for quality selection of CAD and CAM software
Buyer priority to select software with their satisfaction:
Time Brand Price Mistake complexity
1st priority 35.00% 37.00% 15.00% 7.00% 6.00%
2nd priority 30.00% 25.00% 20% 10.00% 15.00%
35.00% 37.00%
15.00%
7.00% 6.00%
30.00%
25.00%
20%
10.00%
15.00%
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
35.00%
40.00%
Volume
Attribute
Total respondents=600
1st priority 2nd priority
REVISTA INNOVACN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN Nº 2708-0935
Most of the Buyers intended to Use branded and well-reputed company software rather than the
price and speed of the software. However, the highest proportion of buyers chooses to use a
software brand and the production quality, accounting for 60.59% and 39.41% for priority,
followed by just 41.27% and 58.73%, respectively, for second priority. Among them, Buyers
avoid the price of the software and how much faster it is. Buyers are confident that another
software attribute will be better if the brand is well-reputed. That is why every Buyer avoided the
price and faster properties of the software. So a buyer chooses the best-branded software like
Lectra or Optitex software. However, Buyer focuses on Lectra software in the first place. The
software selection priority percentage is shown in the following bar chart.
Figure 4: Buyer priority for software selection with bar chart
How garments industry and buyer awareness increases over time:
This Bar chart and line chart are created with the same data and properties. However, both charts
clearly expressed the industry and buyer awareness about using CAD/CAM software. There is
little comparison of software price with their awareness over the period. For the last 6 years, the
software price has gradually increased, and awareness has changed with the price. According to
the chart, the software prices increased in 2016, 2017, 2018, 2019, 2020, and 2021 respectively,
50%, 52%, 54%, 56%, 57%, and 59%. From the line chart, it is found that buyer awareness was
maximum in 2016 when the company used the software. However, industry awareness was lower
than buyer awareness. However, gradually, industry awareness surpassed buyer awareness in
60.59%
39.41%
0.00%
0.00%
41.27%
58.73%
0%
0.00%
Brand
quality
faster
price
0.00% 20.00% 40.00% 60.00% 80.00% 100.00% 120.00%
Attribute
Volume
Brand quality faster price
1st priority 60.59% 39.41% 0.00% 0.00%
2nd priority 41.27% 58.73% 0% 0.00%
Respondents=600
1st priority 2nd priority
REVISTA INNOVACN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN Nº 2708-0935
2021. The following bar sketch show the industry and Buyer awareness over time. However the
Bar chart
Figure 5: Industry and buyer awareness overtime with bar chart
The Following line sketch is clearly illustrated the buyer awareness, industry awareness and price
of the software. However this line sketch created with same data and same value. But this chart
more clear explanation of awareness changing over time.
Figure 6: Industry and buyer awareness overtime with line chart
2016 2017 2018 2019 2020 2021
Price 50.00% 52.00% 54.00% 56.00% 57.00% 59.00%
Industry Awarness 35.00% 42.00% 53% 60.00% 70.00% 80.00%
Buyer awarness 45.00% 48.00% 55% 60.00% 63.00% 65.00%
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
90.00%
Volume
year
Respondents=600
Price Industry Awarness Buyer awarness
2016 2017 2018 2019 2020 2021
Price 50.00% 52.00% 54.00% 56.00% 57.00% 59.00%
Industry Awarness 35.00% 42.00% 53% 60.00% 70.00% 80.00%
Buyer awarness 45.00% 48.00% 55% 60.00% 63.00% 65.00%
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
90.00%
Volume
year
Respondents=600
Price Industry Awarness Buyer awarness
REVISTA INNOVACN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN Nº 2708-0935
How industry user increased with software price:
The following line chart represents how the price of the software and software user changed over
time. This analysis collects data from the last 11 years. The price of the CAD and CAM software
increased and decreased over time from 2010 to 2020 which is accounted for 50% for 2010, 49%
for 2011, 45% for 2012, 47% for 2013, 43% for 2014, 40% for 2015, 48% for 2016, 52% for
2017, 55% for 2018, 60% for 2019 and 60% for 2020. Where CAD/CAM software user increased
10% , 20% , 25% , 35% , 50%, 60% , 67% , 70% , 75% and 80% following by the year. The
result of user with software price is shown in the following figure.
Figure 7: Industry user increasing trend with Software price
Most used software in Bangladesh with industry satisfaction:
This analysis primarily focuses on the final result of the whole Research because this Research
represents which software is usually used by the industry for their satisfaction and why this
software meets their industry criteria.
The following chart explains the software name, number of the software user, type of factory,
and price of the software in Bangladeshi currency, taka. However, more than 355 industries
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Price 50.00% 49.00% 45.00% 47.00% 43.00% 40.00% 48.00% 52.00% 55.00% 60.00% 70.00%
User 10.00% 20.00% 25% 35.00% 45.00% 50.00% 60.00% 67.00% 70.00% 75.00% 80.00%
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
90.00%
Volume
year
Total Respondents=600
Price User
REVISTA INNOVACN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN Nº 2708-0935
intended to use Lectra software. However, the price of the software is high, but most big factories
like EPZ and others prefer to use Lectra Modaris software. On the other hand, 150 industries like
to use Optitex software. Most of the factories are medium class. So they never want to spend a
big budget on buying Lectra software. The small factory chooses to use Gerber software for the
low price. They choose Gerber for low prices and a small amount of production. Approximately
600 industries were attended in this Research.
The following table shows the number of software user with different attribute.
Note: Number of respondents=600 industry
Table 1: Number of software user industry with a table
An actual Garments order sheet for analysis:
For the research purpose, we have the carry out a real test with a Buyer order sheet. Most of the
respondents used their preferred software with specific measurements. The buyer KIABI company
sends a requirement for a half shirt. The specific measurement below is in figure 1; on the other
hand, figure 2 represents the half shirt's specific design style, where more than 600 respondents
were directly involved with making this half shirt design.
We carefully observe the software performance when the software user is trying to make a
design. Our observation includes some basic questions and parameters. Such as-
1. How much time is required to make this specific design?
II. The possibility of mistakes was carefully observed.
III. The production ability was calculated with this software.
IV. Quality of the final design
V. Quality of the final product with specific measurement.
VI. Buyer satisfaction
VII. Complexity of the design with the specific software, etc.
Where Lectra Modaris software performed terrifically, so every big, gigantic factory like EPZ,
Square Fashions ltd, Denim, Ha-meem group, Beximco, DBL Group, Opex Sinha Group, Fakir
Group, Epyllion Group, Standard Group, Asian Apparels Limited, Viyellatex Limited and the AJI
group is using Lectra Modaris software.
On the other hand, Optitex is also better for medium-quantity production. The performance of
using Gerber software is fewer users than in small factories. But for small production, this
REVISTA INNOVACIÓN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN Nº 2708-0935
software suits. During our research we have tested more than 600 user with different
measurement.
The following figure 1 represent the measurement chart for the half shirt of KIABI company.
Figure 8: KIABI company measurement chart for half shirt
REVISTA INNOVACN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN Nº 2708-0935
Figure 9: CAD/CAM design for half shirt
Automatic template design system:
An automatic template design system is a process where a user is capable of making a CAD/CAM
design with a previously created template. This Template provides the facility to make a garment
design easily. This automatic template design system allows users to re-edit the design with their
criteria [16]. A designer can re-edit the measurement also. So the time to make a design is less
in this automatic system. The purpose of discussing these properties is to make it clear which
software consists of the highest facilities.
REVISTA INNOVACN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN Nº 2708-0935
Where Lectra has a rich resource of automatic templates because Lectra is a software created by
a well-reputed company, they are trying to develop the software within a period. They updated
the software gradually and added a lot of automatic template designs.
Optitex software recently added some automatic template design systems. Nevertheless, this is
less effective compared to Lectra software.
On the other hand, Gerber still has backdated software compared to Lectra and Gerber. So this
software has no resources for an automatic template design system.
Final analysis and discussion:
Now the final analysis is done from previous preliminary Research. The final analysis represents
the actual parameter and Attribute, which is why a company chooses a specific software. The
following table is more complex than the whole Research. Where it represents the different
attributes, this specifically represents why companies choose software for their industry [12] .
The positive Attribute of Lectra software is the quality of design, the possibility of mistake, and
the production rate, which accounted for 98%, 8%, and 99%, respectively. Where Optitex is
accounts for 80%, 15%, and 70%, respectively. The Gerber also accounted for 75%, 20%, and
50%, respectively. The possibility of the mistake of creating a design is less in Lectra, which plays
an essential role in choosing Lectra.
However, Gerber and Optitex are faster, have minimum complexity, and fewer prices. Where
Gerber accounted for 90%, 70%, and 25%. On the other hand, Optitex accounted for 80%
However, Optitex and Gerber have many more limitations than Lectra. The following bar chart
represents the different Attributes with different software with the following data table.
Table 2: different attribute for a software
Here,
Speed = the working speed of the software
Quality =quality of the garments design which done by CAD/CAM software
Mistake= the possibility of mistake when a user using a software to making design
Complexity= how difficult the software to learn and how difficult to Operate the software
Price= price of the specific software to buy.
Production = production size or amount of production per hour.
Software
speed
quality
mistake
complexity
price
production
lectra
75%
98%
8%
80%
100%
99%
optitex
80%
80%
15%
75%
35%
70%
gerber
90%
75%
20%
70%
25%
50%
REVISTA INNOVACN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN Nº 2708-0935
= IT INDICATE POSITIVE IMPACT = IT INDICATE NEGATIVE IMPACT
The following bar chart illustrated in accordance with data and value of table 2.which clearly
explains the software popularity with user priority level.
Figure 10: Different software attribute with a bar chart
Conclusion:
From the Research that was performed successfully, it can conclude the Bangladeshi
industry's attitude toward CAD/CAM software and Identify Attributes that affect User behavior for
particular Garments Software [4]. Overall, customers' highest priority was Production, speed, and
Brand. The speed table represents that the faster software is Gerber than optics and Lectra.
speed quality mistake complexity price production
lectra 75% 98% 8% 80% 100% 99%
optitex 80% 80% 15% 75% 35% 70%
gerber 90% 75% 20% 70% 25% 50%
75%
98%
8%
80%
100% 99%
80% 80%
15%
75%
35%
70%
90%
75%
20%
70%
25%
50%
0%
20%
40%
60%
80%
100%
120%
Volume
Attribute
Total Respondents=600
lectra optitex gerber
REVISTA INNOVACN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN Nº 2708-0935
However, why an industry chooses Lectra for their industry? If we look up, the quality of the
design of Lectra is maximum. The possibility of mistakes in Lectra is less compared to other
software.
On the other hand, the production rate is also maximum in Lectra software. However, the speed,
complexity, and price are maximum, negatively impacting Lectra software. Nevertheless, the
design quality, the possibility of the mistake, and production accounted for 98%, 8%, and 99%.
The price of the Lectra software is maximum, accounting for 10,00000 to 15,00000 taka.
However, the price of the software is the too high price. However, the other Attribute plays a
positive impact. That is why the user has ignored the price of the software. Lectra software also
has complex and slower than other software.
So the production and design quality rate hit the maximum, positively impacting Lectra Modaris
software. The possibility of a mistake is 8% means Lectra Modaris software has a minimum
possibility of mistakes. The other significant factor is that Lectra software is the leading template
system, which helps a user make automatic software, the most extensive facility for making a
design quickly. That is why Lectra choose a maximum number of big industries in Bangladesh.
Owing to compatibility, the production of the software plays a vital role in influencing the user's
tendency to buy CAD/CAM software.
For the medium industry, they focus on some attributes for their company satisfaction. So every
medium-class factory intended to buy Optitex software. Optitex is software that is faster than
Lectra software. Complexity is also lower than the Lectra software. The price of the software is
low compared to Lectra software. That is the way the 3 attribute of the speed of the software,
complexity, and price, which is accounted for 80%, 75%, and 35%, plays an essential role in
choosing Optitex software. For medium-class factories, the production size is less. So they try to
ignore the production size.
For a small factory, they always preferred to buy Gerber software for their satisfaction. Gerber
is enough to meet their criteria, also. Where the small factory ignored 3 attributes such as quality
of design, the possibility of mistakes, and production size; on the other hand, they focused on
the software's speed, complexity, and price. Where speed, complexity, and price are accounted
for 90%, 70%, and 25%. So it represents that the speed and price of the software are minimum.
Moreover, the complexity of the software is less. So it is pretty easy to learn and use. To
recapitulate, 59% of users prefer to buy Lectra Software, 25% prefer Optitex software, and 16%
prefer to use Gerber software. There are 3 types of Gerber software available. Such as gamine,
bock, Emma, Etc. Every Buyer wants faster and quality software that involves the proper time
delivery. Buyer also focuses on attributes such as quality and brand, accounting for39.41% and
60.59% for priority, followed by 58.73% and 41.27% for second priority. However, the Buyer has
no choice about the price of the software. Because of that, there is no influence of the price upon
a buyer. [6]. To encapsulate considering all the properties user is intended to buy 59% Lectra,
25 % Optitex, and 16% Gerber.
REVISTA INNOVACN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN Nº 2708-0935
ACKNOWLEDGEMENTS
This valuable thesis is the culmination of years of work that was associated with and approved
by numerous people. It is fascinating that we are now all respectfully thanking each contributor
for their contributions. I also want to thank infra polytechnic institute and university of global
village for helping us to complete this project.
Referencias
[1]. Ali, J., Kapoor, S., & Moorthy, J. (2010, January 1). Buying behaviour of consumers for
food products in an emerging economy. British Food Journal, 112(2), 109-124.
doi:10.1108/00070701011018806
[2]. Au, C., & Ma, Y.-S. (2010, August 1). Garment pattern definition, development and
application with associative feature approach. Computers in Industry, 61(6), 524-531.
doi:https://doi.org/10.1016/j.compind.2010.03.002
[3]. Dabke, P., Cox, A., & Johnson, D. (1998). NetBuilder: an environment for integrating
tools and people. Computer-Aided Design, 30(6), 465-472. doi:10.1016/S0010-
4485(97)00098-5
[4]. Fayoomy, A., & Tahan, A. (2014, January 1) . Basic garment pattern design and the
development for the standard figure. World Journal of Engineering, 11(2), 171-180.
doi:10.1260/1708-5284.11.2.171
[5]. Gulati , S. (2017, June 29) . IMPACT OF PEER PRESSURE ON BUYING BEHAVIOUR.
International Journal of Research, 5(6), 280-291. doi:10.5281/zenodo.820988
[6]. Prof.Lakshminarayana, K., & Dr.Sreenivas, D. (2018, March). A Study of Consumer
Buying Behavior towards Branded Apparels in Selected cities of Karnataka. International
Journal of Advanced in Management, Technology and Engineering Sciences, 8(3), 1129-
1145.
[7]. Stjepanovic, Z. (1995, January 1) . Computeraided processes in garment production:
features of CAD/CAM hardware. International Journal of Clothing Science and Technology,
7(2/3), 81-88. doi:10.1108/09556229510087236.
REVISTA INNOVACN Y SOFTWARE VOL 4 Nº 1 Marzo-Agosto 2023 ISSN Nº 2708-0935
[8]. Vinaja, R. (2012, October 1) . Research in Systems Analysis and Design: Models and
Methods. Journal of Global Information Technology Management, 15(4), 89-90.
doi:10.1080/1097198X.2012.10845626
[9]. Zhujun, W., Jianping, W., Xianyi, Z., Xuyuan, T., Yingmei, X., & Pascal, B. (2021, June
11). Construction of Garment Pattern Design Knowledge Base Using Sensory Analysis,
Ontology and Support Vector Regression Modeling. International Journal of Computational
Intelligence Systems, 14(1), 1687-1699. doi:10.2991/ijcis.d.210608.002
[10]. Md. Shazzat Hossain, Md. Hasan Ali, Md. Abdus Samad (2021), Attitude of Customers
to Buy Face Masks Cloth in Bangladesh - An Observation toward Customers Psychology of
Face Masks Fabric, International Journal of Textile Science 2020, 9(2): 28-34 ,DOI:
10.5923/j.textile.20200902.02
[11]. Sabeur Bettaieb ., Frédéric Noël ., Serge Tichkiewitch. (January 2004), “Interface
between CAD/CAM Software and an Integrative Engineering Design Environment”, Methods
and Tools for Co-operative and Integrated Design, pp.315-326, DOI: 10.1007/978-94-
017-2256-8_27 .
[12]. Sarita Chaudhary; Pardeep Kumar; Prashant Johri (January 2020) , “Maximizing
performance of apparel manufacturing industry through CAD adoption” , International
Journal of Engineering Business Management ,12(4):184797902097552 ,
DOI:10.1177/1847979020975528 ,LicenseCC BY 4.0
[13]. Siming Guo; Cynthia L. Istook (December 2019) ,"Evaluation of CAD Technology for
Mass Customization" International Textile and Apparel Association Annual Conference ,
DOI:10.31274/itaa.8362 .
[14]. Abu Sadat Muhammad Sayem; William Richard Kennon (July 2010) ," 3D CAD systems
for the clothing industry” , International Journal of Fashion Design Technology and
Education Technology and Education(2):45-53 , DOI:10.1080/17543261003689888
[15]. Naznin Kamrun Nahar ; Summiya Sultana (January 2022 ) , "Process & Effective
Methods of Pattern Making For the RMG (Readymade-Garment) Sector" , IOSR Journal of
Research & Method in Education (IOSRJRME) Volume 7(, Issue 3 Ver. II (May - June
2017)):46-48 .
[16]. Jun Zhang ; Noriaki Innami; Kyoungok Kim; Masayuki Takatera ( November 2015 ) ,
"Upper garment 3D modeling for pattern making" , International Journal of Clothing
Science and Technology 27(6):852-869 , DOI:10.1108/IJCST-01-2015-0003