Journal of Middle East Applied Science and Technology (JMEAST) 

 

ISSN (Online): 2305-0225 
Issue 2(7S), August 2014, pp. 56-61 
 

56 

 

 

Abstract

 

In competitive world today no institution can 

through excellence in their operations or innovation in Their 
products from other organizations to distinct, Except that 
needs and demands of customers deeply. Therefore passing 
through traditional economy and intensified the competition in 
new dimensions, The main pillar of the Jupiter and the axis of 
the All activities of this organization.  In this intellectuals and 
management, marketing A copy protect customers and 
methods of proper connection with them as relationship 
management with customers (CRM) prescribed. Customer 
relationship management with strategy comprehensive 
business and marketing that is technology, process and all 
activities and work around Jupiter integrated. This research 
with the purpose of studying the influence relationship 
management with customers (CRM) The general performance 
of financial institutions in Tehran has been done. statistical 
sample for measurement of the amount of the components of 
the whole society CRM almost statistical managers-financial 
institutions except very small institutions have been 
considered. For example making to assess performance of 
simple random method of marketing has been used. for 
evaluating financial performance from the statistics and 
figures valid has been used. In this study analysis Data and 
test hypothesis by using analysis techniques diagnosing 
software spss. research indicates that the general result is that 
relationship management with customers (CRM) The 
operation of the general performance of marketing two aspects 
(loyalty trust and satisfaction) And the performance of 
financial investment and output growth of Sales) and effects 
meaningful positive.

 

Keywords

  relationship management with customers (CRM), 

the function of financial performance marketing, financial 
institutions diagnosing analysis  

 
 
 
I

NTRODUCTION 

 

1Expert of Tax Affairs Organization, tehran, Iran 
2Expert of Economy Mehr Bank, tehran, Iran 
4M.A of Business Administration at isfahanUniversity,isfahan, Iran 
4M.A student of Business Administration at Payam Noor University, 

Karaj, Iran 

requirements and changes in the field of marketing such as 
eliminating the law (omitted control of the state) 1. THE 
WORLD 2. Companies growth new competitive pressures 
increasing change in customer expectations and technology 
New information has caused organizations in search 
marketing activities change in his tactical (Lindgreen, 2004). 

equirements and changes in the field of marketing such as 
eliminating the law (omitted control of the state) 1. THE 
WORLD 2. Companies growth new competitive pressures 
increasing change in customer expectations and technology 
New information has caused organizations in search 
marketing activities change in his tactical (Lindgreen, 2004). 

In competitive world today no institution can through 
excellence in their operations or innovation in Their products 
from other organizations distinct, Except that needs and 
demands of customers deeply. Successful organizations 
modern goods and services strategies by individual customers 
has been defined. In this intellectuals and management, 
marketing A copy and protect customer and the way the 
proper connection with them under the title management 
connection with Jupiter CRM) prescribed (Ellahi and Heydari, 
1384). Many  of definitions for relationship management with 
customers. One of the best definitions this is a: the process of 
general communications and maintain useful with Jupiter by 
values presented in the key customers and their consent 
(Cattler and Armstrong, 1383). A definition of this relation is 
that the management with Jupiter, Comprehensive business 
strategy and marketing that is technology process and all 
activities and work around Jupiter integrated (Fjermestad & 
Romano, theirs, 2003). In our country with every few-
conducts the global economy during recent years discussions 
of nationalism and Jupiter honoring clients instead of in 
relations between people relations with companies and the 
government with the people and the necessity attention and 
satisfy needs and demands of customers feel serious to form. 
On the other hand financial institutions including units of 
major monetary and financial market are equipped with their 
own resources and guide and resources allocated to the 
different economic projects including public and private 
sources for the main The financial plans of the process 

The impact of the management connection 

(CRM) on performance of general financial 

institutions Tehran province 

Seyed mojtaba miraghaei

1

,  vahid shabani

2

,amir ghanbari barzian

3

, vahideh shabani

 

 

Journal of Middle East Applied Science and Technology (JMEAST) 

 

ISSN (Online): 2305-0225 
Issue 2(7S), August 2014, pp. 56-61 
 

57 

 

through to win the confidence and satisfaction and customers 
by employing a The axis of the customer strategy can achieve 
their goals (Poriraj, 1376). The purpose of this research is to 
show that using management strategy relationship with Jupiter 
CRM) The operation of general (performance of marketing 
and financial performance) financial institutions influence city 
of Tehran and employing strategists Jupiter- The axis of the 
the special relationship management with customers for these 
institutions is necessary. Secondary research objectives are as 
follows: 

determining effect management connection with Jupiter CRM) 
on performance of marketing financial institutions city of 
Isfahan;and 

determining effect relationship management with customers 
(CRM) financial performance financial institutions city of 
Isfahan. 

A CRM structure  

CRM is included in this next few cases: focusing on key 
customers, The organization of the voting CRM management 
knowledge and technology. This division in accordance with 
the belief that successful CRM with paying attention to four 
areas-key strategy individuals and the process technology to 
and only when all of these four areas with key coordinator 
Integrated and, can be a superior ability to Jupiter. For the 
maximum performance of a long term business in aspects such 
as customer satisfaction, Customer loyalty customer 
confidence, Output output sales and investment relations 
should be long term profitability and mutual customers with 
established, protection and strengthening (sin, and Tse Yim, 
2005). 

1. focusing on key customers: customers have been identified 
these will be defined: Customer information that identified 
and contact in the company. The organization can be 
identified through his customers. By collecting, process, and 
employing the data a customer transaction to create a deep 
understanding of the needs of their customers and the value to 
most loyal supporter fair For customers and provide. As the 
organization of the ties with their customers have been 
identified education, Some of them are more complete and key 
customers to become. Key customer is from customers known 
through providing higher profit and active relations or long-
term a lot value income organization (Park &kim, 2003). The 
most important prerequisite for understanding customers and 
profitability the market classification. Part of the market is a 
pivot of philosophy Jupiter is opposite that of the mass of 
marketing. how much of each category more precisely, More 
knowledge of the customers and the possibility that services 

delivery is more. Its most ideal form That is part of a 
classification to customers individual portraits done and 
marketing to be done portraits. In fact cannot be like past each 
individual customer to. But Jupiter should be to a specific 
person in the form (Allbadvi, Ferdowsi and Nasser bakht, 
1385). focusing on Key customers related to the concentration 
of on Jupiter and bringing added value to the customers 
continuous key The selected products offered through 
personal/delivery. The main aspects of the concentration on 
key customers include: marketing Jupiter axis, The value of 
key customers, the mass and its delivery of interactive 
marketing(Sin Tse  and Yim, 2005). 

2. The organization of the voting CRM: The organization of 
the voting CRM means fundamental changes in the way 
organizing processes and business. The main dimensions of 
the successful organization organizing around CRM include: 
the structure of organizational The company commitment 
resources and management human resources (Sin, and Tse 
Yim, 2005). In this research a concept of two pivotal customer 
bilateral cooperation is considered as including foreign 
marketing and internal marketing. Foreign marketing related 
to foreign customers are not the same consumers are final. 
Internal marketing in connection with domestic customers 
(employees organizations). Internal marketing has a close 
relationship with the organization of the voting CRM. Internal 
marketing by Berry (1981) article such definition: 

"Looking at employees as internal customers, jobs to look 
upon as domestic products, and then Efforts to supply 
products of domestic needs and demands of the clients 
internal supply In addition to goals in an organization. But 
under a monument idea marketing domestic this way: the 
organization for having satisfied customers should employees 
satisfied and such jobs should be treated as domestic products 
(Broady- Preston & steel,2002) 

3. Knowledge management based on knowledge view axis of 
logic or philosophy of existence created organization, Transfer 
and employing knowledge. From the viewpoint of knowledge 
including CRM data is the consumers that Can be through trial 
and experimental study (Sin, Tse and Yim,2005). 

 The approaches to KM divided into two groups:  

1.The approaches based on knowing: In this approach through 
observation and interpretation of knowledge inherent 
inequality. They can be active learning among themselves by 
means of expression and different types of interaction. The 
main characteristics of knowledge in this distinct approach 
difficulty of expression. knowledge that easily would 

 

 

Journal of Middle East Applied Science and Technology (JMEAST) 

 

ISSN (Online): 2305-0225 
Issue 2(7S), August 2014, pp. 56-61 
 

58 

 

knowledge and knowledge of speech and therefore it is 
difficult to transfer knowledge called implicit.  

2.Approach based on the existence: this approach to 
knowledge as a "Black Box". characteristics of knowledge 
through its relation with the world has been discourse 
structure is defined as (Gebert  et al, 2003) 

3. Technology: there are three types of technology CRM in 
general:  

1) CRM operations operations CRM CRM deals with too 
wide of a face with Jupiter and caused Integration of the 
carpet and support. In this technology business processes of 
the organization responsible for the front line contact with 
customers are (i.e., parts of sale marketing and services) 
support (Greenberg, 2004). CRM operations is divided into 
three branches: Force automation program carpet, support and 
customer support and marketing automation program institute 
(Haji Zamanali, 1383). 

2)CRM analysis. CRM analytical applications that include 
data by customer operational tools produced In order to trade 
operations management analysis. Management connection 
with Jupiter on the reserve analysis of the organization and 
management of learning emphasizes (Greenberg, 2004). 

3) CRM cooperative (Integrated): includes services and 
cooperative services is that interaction between customers and 
The organization and facilitation of communication with 
based on partnership value customers Life period beyond The 
exchange can help to. integrated CRM means participation 
communication channels between all customers with. CRM 
integrated solution which individuals process and has put 
together, In a way that organizations ability to better serve 
customers and keep customers. It is necessary that data and 
activities can structure is inherently, non-structure of, A 
conversation or exchange and they (Sayed Javadin and 
Yousefi, 1385). 

method of research  

The present method of research type of cause (bring cause) 
application is a little bit that the approach is inductive and. In 
this study concerning the collecting information related to the 
confirmation or rejection of the hypothesis of the research is 
to survey method (question) has been used. In This research 
measuring the amount of implementation of relationship 
management with customers a letter including 18 question 
question Used. It should be noticed that no simple index can 
be completely the nature of a few next performance of 

business. In this study two groups standard measurements for 
performance of business and the: performance of marketing 
(trust, the satisfaction and loyalty) And the performance of 
financial or economic investment and output market share). to 
assess the performance of marketing financial institutions of a 
question  including 12question and to gather information 
related to literature research method of a library is used. Of 
course the information related to the financial performance of 
the site and collecting magazines.  

For study questions question letters, And to be sure that the 
introducer of characteristics of the researchers need to intend 
to measure is how they The narrative content. For 
questionnaire with attention to the literature of compilation of 
research. For communication with function”, the relation 
content with each other, It is clear and apparent form, being 
logical and setup of their management and marketing 
professors views use, And narrative questionnaire confirmed.  

The tool module pointing to this is that the tools the 
conditions are the same to what extent same results. To 
estimate and calculate coefficient of inner survey parallelism 
the questionnaire are The Spectrometer was used the 
Kronbakh. coefficient of survey question first letter before 90. 
Also for focusing on key customers, polling organization 
CRM, Management of knowledge and technology to 84, 74, 
79 and 81. To test the hypothesis of the analysis and 
diagnosing soft Software methods diagnosing equation has 
been used to an under written:  

In this case it is estimated to be under expression:  

In which a and b respectively and are accounted boldly. If b 0, 
The linear relationship and there is no crowd) for linear 
relation between X and B should be 0. Therefore in this test 
the hypothesis of this study the following expression:  

Findings and results  

Table 1  population information and knowledge managers 

sample characteristics of financial institutions Tehran shows.  

The percent of  

frequency 

Frequency Variable 

  Age 

- - 

20- 

29years 

3.45 1 

30-39years 

51.72 15 

40-49years 

27.59 

Over 50 years 

17.24 5 Gender 

 

 

Journal of Middle East Applied Science and Technology (JMEAST) 

 

ISSN (Online): 2305-0225 
Issue 2(7S), August 2014, pp. 56-61 
 

59 

 

- - Man 

100 29 Woman 

0 0 

Education 

Less than Ba 

51.72 15  BA 

41.38 12  BA 

6.90 2 

Master 

degree 

0 0 PHd 

- - 

Industry 

58.62 17 Banking 

34.48 10 

Insurrance 

6.90 2 

Investigation 

- - 

Job 

title 

89.66 26 

Branch 

manger 

10.34 3 

Deputy 

Branch 

The results of study analysis data on the research- Based on 
analysis of each variable between the CRM diagnosing and 
each of the components of performance-showed that: 

Table 1 population information and knowledge managers 
sample characteristics of financial institutions Tehran shows.  

study the results of the analysis data on the research- Based on 
analysis of each various diagnosing CRM and performance of 
each of the components-showed that:  

1. The relationship management with customers (CRM) on 
performance of marketing financial institutions influence 
Tehran city, with the increase in performance of CRM 
marketing financial institutions also will increase (Sig 0/000, 
b=0/391) diagnosing and equation as followed by:  

Coefficient B is to show that for every unit increase in 
reduction in) in CRM, performance of marketing 391/0 unit 
increase reduction in). This is the result with the results of the 
past research including sin, Tse &Yim (2005), Camarero, 
Guite rrez Martun, (2005) and Dayand supported Bulte 
(2002).  

2. The relationship management with customers (CRM) 
fidelity customers key financial institutions influence city of 
Tehran, - also will increase in CRM customers loyalty key 
financial institutions (sig 0/000, b 0. 561) and diagnosing 
equation as following: 

Coefficient B is to show that for every unit increase in 
reduction in) in CRM, customers loyalty key financial 
institutions Tehran city 561/0 unit increase reduction in). This 
is the result with the results of the past research studies 
including Guite rrez, Camarero (2005) and Ayatollah (1385). 

3. relationship management with customers (CRM) trust key 
customers financial institutions influence city of Tehran, -with 
the increase in CRM customers trust key financial institutions 
also will increase (Sig 0/000, b 0. 334) and diagnosing 
equation the following: 

Coefficient B is to show that for every unit increase in 
reduction in) in CRM, customers trust key financial 
institutions Tehran city 334/0 unit increase reduction in). The 
harmony with the result of the past research results including 
sin, Tse and Yim (2005). 

4.relationship management with customers (CRM) customers 
satisfaction key financial institutions influence city of Tehran, 

 

 

Journal of Middle East Applied Science and Technology (JMEAST) 

 

ISSN (Online): 2305-0225 
Issue 2(7S), August 2014, pp. 56-61 
 

60 

 

- also will increase with the increase in customers satisfaction 
CRM key financial institutions (sig 0/000, b 0. 278) and 
diagnosing equation the following:  

coefficient of B shows is that for every unit increase in 
reduction in) in CRM, customers satisfaction key financial 
institutions Tehran city 278/0 unit increase reduction). This is 
the result with the results of the past including studies 
research, Tse and Yim (2005) and Ayatollah (1385).  

5. relationship management with customers (CRM) financial 
performance financial institutions influence Tehran city, -with 
the increase in CRM financial performance financial 
institutions also will increase (sig 0/000, b=0.934) and 
diagnosing equation without considering the constant equation 
(a) as followed by: 

Coefficient B is to show that for every unit increase in 
reduction in) in CRM, financial performance 934/0 unit 
increase reduction in) . This is the result with the results of the 
past including research studies are, Tse and Yim (2005), 
dayand the, Krafft &Hoyer (2004), Cammarero, Gutie rrezz 
Martin(2005), Bulte (2002). 

6. The relationship management with customers (CRM) 
customers satisfaction key financial institutions influence city 
of Tehran, -with the increase in output CRM investment 
financial institutions also will increase (sig 0/000, b=1.841) 
and diagnosing equation without considering the constant 
equation (a) as followed: 

Coefficient B is to show that for every unit increase in 
reduction in) in CRM, investment output 841/1 unit increase 
reduction in). This is the result with the results of the past 
including studies research, Tse &Yim (2005), day and the, 
Cammarero, Gutie rrezz.  

7. relationship management with customers (CRM) on the 
growth of sales key financial institutions influence city of 
Tehran, -with the increase in growth of sales CRM financial 
institutions also will increase (sig 0/000, b=0.948) and 
diagnosing equation without considering the constant equation 
(A) as followed by:  

investment output 0/948 unit increase reduction in). This is the 
result with the results of the past including Research Studies 
Yim (2005), and the day, Hoyer Krafft (2004), Cammarero, 
Gutie rrezz. 

The research indicates that the general result is that 
relationship management with customers (CRM) The general 
performance of financial institutions influence Tehran city, -
with the increase in performance of CRM general financial 
institutions also will increase (Sig 0/000, b= 0.679) 
diagnosing and equation to a:  

Coefficient B is to show that for every unit increase in 
reduction) in CRM, General performance of 679/0 unit 
increase reduction in) . This is the result with the results of the 
past research including Reinartz, Krafft &Hoyer (2004), day 
and supported Bulte, Tse&Yim (2005), Camarero, rrez Gutie, 
Martin (2005) (2002).  

Research and suggestions limitations 

Basically accurate and comprehensive research every issue 
need enough time and availability of all conditions that always 
available. Experience has shown that in any activity at every 
level in any case there are limitations, But the severity and the 
extent of restrictions on the nature of time and research is 
different. limitations of this research are as follows:  

1:The weak sources and research and studies related to the 
research in the country  

2: less attention in question completed by respondents and 
lack of familiar literature to the subject.  

3: Restrictions on use of time for more than a library  
resources. 

4: of financial resources for operations and wide use more 
than the library resources.  

The results of this research showed that relationship 
management with customers (CRM) The general performance 
of financial institutions in Tehran. Therefore managers 
financial institutions can improve, strengthening and defects 
management system relationship with Jupiter CRM), 
launching of this systems, the renewed organizational 
structure of flexible structures and selection and compilation 
of operational strategies and processes in accordance with 
This system to increase the performance of marketing and 
financial performance organization help. that group of 
financial institutions that have so far not have been used this 
system According to the results of this research can launch a 
relationship management system with Jupiter CRM) For the 
organization to commit. Managers organizations in other 

 

 

Journal of Middle East Applied Science and Technology (JMEAST) 

 

ISSN (Online): 2305-0225 
Issue 2(7S), August 2014, pp. 56-61 
 

61 

 

industries can increase performance of marketing and 
financial performance organization measures mentioned.  

The results of this research is to offer managers with key 
focus on the customers and even the increase with Rory of the 
Organization for customers. This caused the increase in cost 
for customers and increase their loyalty in the result. With the 
support supreme management, processes and culture of the 
organization has to be pivotal customer, In a way that 
strengthened relations with customers.  

The level of research in Tehran city financial institutions. 
Future researcher can be to increase the power extension 
vulnerability, This research in other industries and other cities 
and even in the country. This research is to study the influence 
relation management with Jupiter CRM) The operation of the 
general performance of marketing two aspects (loyalty trust 
and satisfaction) And the performance of financial investment 
and output growth of Sales. Future researcher can aspects of 
Like Jupiter and other customer commitment for performance 
and output marketing finance, market share and financial 
performance output for sale. 

R

EFERENCES  

 

1-  Ayatollah m (1385), research management around the influence 

relation with the customer loyalty customers industrial Gaiem 
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2-  albadvi,a, and devotion, 1, (1385), implemented management 

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3-  albadvi,a, Ferdowsi, Naserbakht, N. (1385), the importance of scale 

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16- Park, C. H.  and Kim, Y. G.  (2003), A framework of dynamic CRM: 

linking marketing with information strategy, Business Process 
Management Journal, Vol. 9 No. 5, pp. 652-671. 

17- Reinartz, W. , Krafft, M. & Hoyer, W.D. (2004), "The Customer 

Relationship Management Process: Its Measurement and Impact on 
Performance", Journal of Marketing Research, Vol. XLI, pp. 293–
305. 

18- Sin L. Y.M., Tse A.C.B. and. Yim, F.H.K (2005), "CRM: 

conceptualization and scale development", European Journal of 
Marketing; Vol. 39,  No.11. 

 
 
 
 

 

 

Journal of Middle East Applied Science and Technology (JMEAST) 

 

ISSN (Online): 2305-0225 
Issue 2(7S), August 2014, pp. 66-74 
 

66 

 

 

 

 

Abstract

This article has set to queuing systems and their 

application in sorting production lines; as the case study the Bahar-e- 
Natanz Textile Company has been studied. The purpose of this study 
is to find a model for the arrangement of devices in order to reduce 
costs, increasing production, decreasing down time of the operators 
and machines and also reducing inventories among the production 
process. To achieve these goals, we have made use of simulation. In 
line with this, first the layout of the factory has been identified and in 
the next phase, timing for the operators and machines has been made. 
Finally with the ED software has been focused on the simulation of 
the production line. Using the comparison test, validation of the 
model has been justified and the model was run and the simulation 
results have been recorded. Different models have been offered for 
this problem which after the simulation and extraction of information 
has been determined that the fourth model is the optimal one for the 
layout of the production line of factory under study.   

 

Keywords

Queuing systems, ordering production lines, 

simulation   

 

I.  I

NTRODUCTION

 

n today's world due to technological advances, 
organizations are trying to overtake rivals and this is not 
possible but with careful planning and Proper utilization of  

Resources and facilities, so the managers due to the 

complexity of the systems should Use appropriate tools such 
as Linear Programming, Dynamic programming, Planning the 
right numbers, simulation, Queuing Theory and ... that are for 
the analysis of the systems, do proper planning and avoid 
wasting resources. 
 

F. A. Author is assistant Professor of Industrial Engineering Department of 

Industrial Engineering, Islamic Azad University, Karaj Branch, Karaj, Iran 
(corresponding author to provide phone: +989123108647; e-mail: hrfeili@ 
gmail.com).  

S. B. Author is graduated in B.Sc., Department of Industrial Engineering, 

Islamic Azad University, Karaj Branch, Karaj, Iran. 

T. C. Author is graduated in B.Sc., Department of Industrial Engineering, 

Islamic Azad University, Rasht, Branch, Rasht, Iran. 

F. D. Author is graduated in B.Sc., Department of Industrial Engineering, 

Islamic Azad University, Karaj Branch, Karaj, Iran. 

 

 

 

 

II.  T

HE 

R

ESEARCH 

H

YPOTHESIS

 

Through the simulation, we can offer a suitable model for 

increasing the number of production, raising the productivity 
coefficient of the operators, reducing the average waiting time 
of product, reducing production costs, minimizing the 
stopping of machines and balancing the arrangements of the 
Bahar-e- Natanz textile Company. 

 

III.  R

ESEARCH METHOD

 

 Research method is from the type of the experimental 

(experience and experiment) studies. This kind of research is 
an applied one and in this article has been tried to offer a 
suitable model for improving the arrangement of the 
production line of Bahar-e- Natanz textile Company with the 
use of simulation due to the limitations of the issue. To do 
this, the information provided in books and different internal 
and external articles, and also have been used the information 
of the industrial engineering section of the factory. In this 
research, stimulators (Independent Variables) change the 
specific condition of the model in order to study and check the 
influence of these changes in condition or in the Behavior of 
the sample. The first aim of such researches is forecasting the 
events in the experimental conditions. However its final aim is 
generalizing the results of the study to a bigger and wider 
group than the laboratory and experimental environment (the 
model environment).      

In experimental research, in order to discover the behavior 

of the choices against the change in index (indexes), one or 
some groups as group or experimental groups, go under 
special circumstances and the consequence or consequences 
which are obtained will be compared with one or some groups 
with the name of witness or witnesses groups which have not 
been under these conditions. 

 

Queuing Systems Models to Locate the Line 

Machines  

Hamidreza Feili

*

, Sina Namazi, Behnam Rezvanpour, Jamshid Karimi 

I

 

 

Journal of Middle East Applied Science and Technology (JMEAST) 

 

ISSN (Online): 2305-0225 
Issue 2(7S), August 2014, pp. 66-74 
 

67 

 

IV.  R

EVIEW OF LITERATURE

 

In production planning, the aim is effective use of the 

productive resources. The activity which has helped us in 
order to reach this purpose, we call planning regarding 
productive needs and effective potential of the market. 
Usually the productive planning takes place for a specific 
period. We call this period the productive planning. It is 
assumed that the demand rate in each period is obvious, so it 
is not fixed from one period to the other like the garment 
factory which its amount and type of productions changes 
during the year due to the need in each season. 

A.  Bahar-e-Natanz textile comapny 
Despite the large number of big textile factories, clothing 

industry has been of minimum desirable growth in industrial 
scale. Whereas in the world, there are exporting units with 
one, two or three thousand or more number of workers, most 
units of clothing productions in Iran is with employment of 
less than five persons and little have personnel more than 100 
persons and often the productive clothes of these units are of 
no desirable price and quality and mostly the offer takes place 
into the internal market and is not able to be exported. So the 
company after examining all aspects that was briefly 
described and providing its financial, technical and economic 
plan and after obtaining the necessary permits in the year 1389 
established a productive clothing unit in Natanz industrial 
park and was operated in 1391. 
 

 

 

 

Fig. 1 Production process in Bahar-e- Natanz textile Company

 

 
Figure1 shows the Production process in Bahar-e- Natanz 

textile Company. Production process wholly includes four 
main stages of cutting, sewing, washing and completion. In 
the cutting of the fabric section, with the input rate... meters 
per hour enters into the machine and with the output rate... 
goes out from the machine with cut in pieces.  The cut pieces 
enter into the temporary store after cutting in order to go into 
the sewing section when needed. These pieces divide into two 

parts, front pants... and back pants....  after the necessary 
steps, the front and back pieces go out with the rates of ... and 
... in order and enter into the Supplementary sewing with  the 
rate of ... in this section, both the front and the back of the 
pants sew up. After finishing this section, the product enters 
the inspection section. This section is the end of sewing unit. 
If the product has no problem, goes to the next stage that is 
washing but if it has defect, will be sent to the proper section 
in order to be remedied. In washing section, the pants are 
washed with two forms that each method has its own 
processes. 

B.  Introducing Bahar-e-Natanz factory 

Cutting section 
     After designing the template in the designing unit, the first 
section which goes into the production is the cutting section. 
After clearing the template type and the number of the pants, 
the kind of fabric and the meters of consumed fabrics will be 
determined. Regarding the number of the ordered pants, the 
fabric rolls overspread on each other. On the average, from 
each layer of the fabric, 10 pants in different sizes will be 
made. Usually there are packs of 300 or 500 pants that 30 or 
50 layers should be cut simultaneously. It is tried to arrange 
the parts of the pants so that it will have less wastes. Usually 
the rate of the waste is between 8 to 17 percent that is 
dependent on the type of the template and the consumed 
fabric.  

The most problematic section in the production process is 

the sewing unit. Because the products are of different 
templates, the type and number of the used sewing machines 
for sewing pants is not the same. Wholly we can divide the 
sewing process into three parts, pre-sewing, back sewing and 
assembly section. The cut pieces in the cutting section go to 
the front and back parts and then after these stages go to the 
assembly part that in this section, the front and back pieces of 
the pants sew up 

 
Washing unit 
At this stage regarding the selected design, the necessary 

effects take place on pants. Wholly we can divide the 
washings into two main groups, washing first type and 
washing second type. It should be noted that each of these two 
washings includes tens of washing types because the kind of 
fabric and the desired effect is different. Method is such that 3 
or 4 pants enter into the test machine and after adding the 
necessary chemicals and Enzymes are washed for a 
distinguished time. If the desired model came out, take the 
pants into the washing machine in groups and add the 
Specified materials to it. It should be noted that any kind of 
fabric and effect has its own specific values. 

 
 

 

 

Journal of Middle East Applied Science and Technology (JMEAST) 

 

ISSN (Online): 2305-0225 
Issue 2(7S), August 2014, pp. 66-74 
 

68 

 

Population and sampling 
Wholly the Sample size formulas relate to the scale of data 

that we divide them on the quantity and quality and with the 
help of estimated average and Success rate use the specific 
methods for determining the sample size. To obtaining simple 
samples for different machines do as the following. 

‐  Because we are not sure that the governing 

distribution on the machines is a normal one or 
not, for the start we take the sample size near 30 
hypothetically. 

‐  The taken sample size as the degree of free 

distribution taken as t and from the table, 

calculate the amount of 

 

1

,

2

1

n

t

‐  We calculate the Variance of taken sample. 

We use the following formula for calculating the sample 

size

2

2

1

,

2

1

2

n

t

s

n

 

‐   

 

If the n obtained from the formula be identical with the 

imagined sample size, we stop the calculations. 

In this research the 

05

/

0

  and 

1

/

0

  are imagined. 

 
Check the cutting unit 
In this section like what before explained, the fabric is cut 

regarding the model type and the number of orders. This unit 
due to the benefit of advanced machines is able to cut five 
times more than the daily production capacity. So we don’t 
sense a problem in this section. But to avoid the effects of 
unpredictable damages and likely problems, this section is one 
week ahead of the sewing unit and is nearly 3500 works ahead 
of the sewing part. The cut pieces are maintained in temporary 
store for if the cutting machine was out of order, the sewing 
part and other parts don’t stop their activity. With the study of 
documents, the number of cutting on different days was 
extracted. After that with the software Easy Fit and Chi-square 
test, the governing distribution on the cutting unit was 
calculated. We categorized the

05

0

/

 and data into 8 

categories.After categorizing the data and merging the 
consequences, brought in the following table. 

 
 
 
 

Table 1. Categorizing data 

i

i

i

m

m

m

2

)

(

  

i

m

  

i

m

 

1

i

i

x

x

  

55

/

0

  

25

/

9

  

7

  

760

-

680

 

31

/

0

  

15

/

11

 

13

  

800

-

760

 

67

/

0

  

66

/

12

12

  

840

-

800

 

19

/

0

  

32

/

9

  

8

  

880

-

840

 

74

/

0

  

62

/

7

  

10

  

1000

-

880

  

X2=2/46

 

50

  

50

  

  

 
On the other hand, regarding the table we have

99

/

5

2

2

,

95

/

0

x

 

and because  ٩٩

/

٥

<

 

٤٦

/

٢

 

 ،

H0 is preserved. That is the cutting 

unit follows normal distribution with 

8

/

810

and 

8

/

60

By checking the arrangement of sewing unit, there are 

wholly 37 stages in sewing unit. There have designed a 
specific machine for each of these stages. Some of the 
machines are multipurpose and some other is able to perform 
one activity.  

In the sewing section, there are 37 machines which include 

10 machines. The most widely used is called DDL that wholly 
in three sewing parts 14 of this machine is used. Table2 
obtains the name and number of such machines. 
 

Table 2. Machines 

row

  

Machine name

QTY

  

1

  

DDL

 

14

  

2

  

LH

  

8

  

3

  

MO

  

4

  

4

  

MH

  

2

  

5

  

LK

  

2

  

6

  

VEIT

  

2

  

7

  

US

  

2

  

8

  

BROTHER

 

1

  

9

  

MOL

  

1

  

10

  

MEB

  

1

  

 

 

 

Journal of Middle East Applied Science and Technology (JMEAST) 

 

ISSN (Online): 2305-0225 
Issue 2(7S), August 2014, pp. 66-74 
 

69 

 

 

 

 

Fig.2. Factory layout 

 

Production line simulation 

Once we are familiar with the layout portion of sewing and 

washing and the type of activities and tasks were identified 
should the production line in the two part of the software, we 
simulated. In this project we used the enterprise dynamic 
software .Figure 3 and 4 simulation of the sewing unit of the 
simulation show thumb. 

 

 

 

Fig3.Stitching Unit Simulation 

 
 

Timing 

After it was clear that for simulation we needed what times, 

we did timing. In this project, timing was done as such, from 7 
to 15 was divided to 24 parts each 20 minutes. The first 20 
minutes, the last 20 minutes and the 20 minutes which the 
operators stopped work for having breakfast was omitted. In 
these 20 minutes intervals, based on a random number 
achieves a random time and in that moment the timing is 
distinguished with the method Stop Watch. This was doing for 
every single machine in the sewing section. The method was 
because we were not sure whether the governing distribution 
on machines is normal, as the start we took the sample size 
near 30 numbers based on the random times.  We took the 
first taken sample as the degree of the freedom of distribution 
t and were calculated the values from the table                  in 
the next stage, we calculated the variance of the taken sample. 
With the use of following formula, the sample size was 
calculated. 

2

2

1

,

2

1

2

n

t

s

n

 

In this project, the 

05

/

0

 And 

1

/

0

 It was selected so 

that determining the sample size is done with a high precision.  

For example about LH2, we determine the sample size. 
After taking out the first 30 samples, we calculated the 

sample variance. We calculated the 

045

/

2

29

,

975

/

0

t

 Value 

from the table and then we calculated the n value. 

7

/

338

)

1

/

0

(

)

045

/

2

(

*

81

/

0

2

2

n

 

That for this machine 339 timing was done. For every 

single machine this Voluminous and Time consuming