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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Morvarid Derakhshan Andisheh</PublisherName>
				<JournalTitle>Journal of Quality Engineering and Management</JournalTitle>
				<Issn>3134-0849</Issn>
				<Volume>8</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2018</Year>
					<Month>08</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Extended Block Diagram Method for Evaluating the Reliability of Multi-State System with Dependent Components</ArticleTitle>
<VernacularTitle>Extended Block Diagram Method for Evaluating the Reliability of Multi-State System with Dependent Components</VernacularTitle>
			<FirstPage>75</FirstPage>
			<LastPage>85</LastPage>
			<ELocationID EIdType="pii">88478</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Maryam</FirstName>
					<LastName>Gharegozlu</LastName>
<Affiliation>PhD Student in Industrial Engineering, Faculty of Engineering, Kurdistan University, Sanandaj, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Zahra</FirstName>
					<LastName>Sobhani</LastName>
<Affiliation>PhD Student in Industrial Engineering, Faculty of Engineering, University of Kurdistan, Sanandaj, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Hiva</FirstName>
					<LastName>Farughi</LastName>
<Affiliation>Assistant Professor, Department of Industrial Engineering, Faculty of Engineering, Kurdistan University,
Sanandaj, Iran</Affiliation>
<Identifier Source="ORCID">0000-0001-9745-9691</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>06</Month>
					<Day>08</Day>
				</PubDate>
			</History>
		<Abstract>The reliability assessment of multi-state systems is often investigated by assuming the independence of the components. It is very useful to consider the interactions between components to evaluate the reliability of such systems. The traditional block diagrams do not evaluate the reliability of a repairable multi-state system. The use of simple stochastic process methods is very difficult due to the high dimension of the problem (the very large number of system states) for engineering applications. To the best of our knowledge, the universal generating function has not been used for systems with dependent components. In this paper, using stochastic processes and a universal generating function method, multi-system systems are analyzed in a situation in which the performance distributions of some components depend on the state of others.&lt;br /&gt;&lt;br /&gt;</Abstract>
			<OtherAbstract Language="FA">The reliability assessment of multi-state systems is often investigated by assuming the independence of the components. It is very useful to consider the interactions between components to evaluate the reliability of such systems. The traditional block diagrams do not evaluate the reliability of a repairable multi-state system. The use of simple stochastic process methods is very difficult due to the high dimension of the problem (the very large number of system states) for engineering applications. To the best of our knowledge, the universal generating function has not been used for systems with dependent components. In this paper, using stochastic processes and a universal generating function method, multi-system systems are analyzed in a situation in which the performance distributions of some components depend on the state of others.&lt;br /&gt;&lt;br /&gt;</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Multi-state systems</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Reliability</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Universal Generating Function</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Components dependency</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Block Diagram</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Stochastic Process</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.pqprc.ir/article_88478_66e22790e6f7095a2aea6c89ea27e6d0.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Morvarid Derakhshan Andisheh</PublisherName>
				<JournalTitle>Journal of Quality Engineering and Management</JournalTitle>
				<Issn>3134-0849</Issn>
				<Volume>8</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2018</Year>
					<Month>08</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Designing an Early Detection Model for Product Reliability Defects Using Warranty Data Analysis and Production Line Quality Test Results (Case study of engine room)</ArticleTitle>
<VernacularTitle>Designing an Early Detection Model for Product Reliability Defects Using Warranty Data Analysis and Production Line Quality Test Results (Case study of engine room)</VernacularTitle>
			<FirstPage>86</FirstPage>
			<LastPage>97</LastPage>
			<ELocationID EIdType="pii">88480</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Amir</FirstName>
					<LastName>Sharifpour</LastName>
<Affiliation>Master of Automotive Total Quality, Iran Khodro Industrial Group Educational, Research and Technology Institute,</Affiliation>

</Author>
<Author>
					<FirstName>Kamyar</FirstName>
					<LastName>Sabri Laghaei</LastName>
<Affiliation>Assistant Professor of Industrial Engineering, Urmia University of Technology,</Affiliation>

</Author>
<Author>
					<FirstName>Hamid Reza</FirstName>
					<LastName>Izadbakhsh</LastName>
<Affiliation>Assistant Professor, Department of Industrial Engineering, Faculty of Engineering, Kharazmi University</Affiliation>

</Author>
<Author>
					<FirstName>Morteza</FirstName>
					<LastName>Agah</LastName>
<Affiliation>Master of Industrial Engineering - Iran University of Science and Technology</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>06</Month>
					<Day>08</Day>
				</PubDate>
			</History>
		<Abstract>Guarantee costs in production companies are very important and can have a great impact on the profit of the company. Putting effort into reducing these costs may result in profit increase. In this regard, detecting reliability related defects before their occurrence can be useful in reducing guarantee costs and also customer dissatisfaction. Reliability problems may be due to manufacturing defects. Removing defective items during production process can prevent high guarantee and customer dissatisfaction costs. In this paper a model is developed for early detection of reliability defects by means of guarantee data and qualitative parameters of the production line. A case study on TU5 engines manufactured by Irankhodro Company is also included.&lt;br /&gt;&lt;br /&gt;</Abstract>
			<OtherAbstract Language="FA">Guarantee costs in production companies are very important and can have a great impact on the profit of the company. Putting effort into reducing these costs may result in profit increase. In this regard, detecting reliability related defects before their occurrence can be useful in reducing guarantee costs and also customer dissatisfaction. Reliability problems may be due to manufacturing defects. Removing defective items during production process can prevent high guarantee and customer dissatisfaction costs. In this paper a model is developed for early detection of reliability defects by means of guarantee data and qualitative parameters of the production line. A case study on TU5 engines manufactured by Irankhodro Company is also included.&lt;br /&gt;&lt;br /&gt;</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Reliability</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">warranty data analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">early detection model</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">failure rate model</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.pqprc.ir/article_88480_850a7c43f3898343d411b265ee36f95b.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Morvarid Derakhshan Andisheh</PublisherName>
				<JournalTitle>Journal of Quality Engineering and Management</JournalTitle>
				<Issn>3134-0849</Issn>
				<Volume>8</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2018</Year>
					<Month>08</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A Model for relationship of Internal and External Integration of Supply Chain Vulnerabilities with Fuzzy DEMATEL and Fuzzy ANP in Electronic Domestic Appliance Industries</ArticleTitle>
<VernacularTitle>A Model for relationship of Internal and External Integration of Supply Chain Vulnerabilities with Fuzzy DEMATEL and Fuzzy ANP in Electronic Domestic Appliance Industries</VernacularTitle>
			<FirstPage>98</FirstPage>
			<LastPage>115</LastPage>
			<ELocationID EIdType="pii">88482</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Seied Davoud</FirstName>
					<LastName>Mirhabibi</LastName>
<Affiliation>Ph.D. Student in Industrial Management, Faculty of Management, Tehran South Branch, Azad Islamic University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Hasan</FirstName>
					<LastName>Farsijani</LastName>
<Affiliation>Associate Prof. in Industrial Management, Faculty of Management, Shahid Beheshti University, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0001-6367-959X</Identifier>

</Author>
<Author>
					<FirstName>Mahmoud</FirstName>
					<LastName>Modiri</LastName>
<Affiliation>Assistant Prof. in Industrial Management, Faculty of Management, Tehran South Branch, Azad Islamic University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Kaveh Khalili</FirstName>
					<LastName>Damghani</LastName>
<Affiliation>Associate Prof. in Industrial engineering, Faculty of Industrial engineering, Tehran south branch, Azad Islamic University, Tehran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>06</Month>
					<Day>08</Day>
				</PubDate>
			</History>
		<Abstract>Nowadays, the integration of the supply chain has changed into an obligation due to the global competition and the necessity of quick response. Therefore, identifying and ranking the vulnerabilities of the integrated supply chain is of great importance and ignoring and even incomplete execution of this process may do irreparable damage to different sections of the chain. The present research aims to analyze the interaction among the vulnerabilities of the supply chain and setting their priorities. F.DEMATEL is used to examine the factors and F.ANP is used to rank the factors. The results show that the environmental and communication factors have the greatest effect on the vulnerability of the integrated supply chain. The production factor has the greatest rank among the factors to be affected. Also, the results showed that it is possible to reduce the vulnerability of the supply chain considerably and provide the causes of the improvement in production through creating communication networks over the chain and enhancing the indices such as improvement in dispersion and the weak harmony of the supply chain partners and transparency of the information over the supply chain. The results of the present research help the managers considerably to identify the difference of the vulnerable internal and external vulnerabilities of the supply chain and to identify the improvement priorities.&lt;br /&gt;&lt;br /&gt;</Abstract>
			<OtherAbstract Language="FA">Nowadays, the integration of the supply chain has changed into an obligation due to the global competition and the necessity of quick response. Therefore, identifying and ranking the vulnerabilities of the integrated supply chain is of great importance and ignoring and even incomplete execution of this process may do irreparable damage to different sections of the chain. The present research aims to analyze the interaction among the vulnerabilities of the supply chain and setting their priorities. F.DEMATEL is used to examine the factors and F.ANP is used to rank the factors. The results show that the environmental and communication factors have the greatest effect on the vulnerability of the integrated supply chain. The production factor has the greatest rank among the factors to be affected. Also, the results showed that it is possible to reduce the vulnerability of the supply chain considerably and provide the causes of the improvement in production through creating communication networks over the chain and enhancing the indices such as improvement in dispersion and the weak harmony of the supply chain partners and transparency of the information over the supply chain. The results of the present research help the managers considerably to identify the difference of the vulnerable internal and external vulnerabilities of the supply chain and to identify the improvement priorities.&lt;br /&gt;&lt;br /&gt;</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">F.ANP</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">F.DEMATEL Global Competition</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Integrated Supply Chain</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">vulnerabilities</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.pqprc.ir/article_88482_32494eec5a37d0c99aafceb183c587fc.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Morvarid Derakhshan Andisheh</PublisherName>
				<JournalTitle>Journal of Quality Engineering and Management</JournalTitle>
				<Issn>3134-0849</Issn>
				<Volume>8</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2018</Year>
					<Month>08</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Proposing an Integrated Approach for Total Quality Management Using Soft System Methodology – The Case of a Food Industrial Company</ArticleTitle>
<VernacularTitle>Proposing an Integrated Approach for Total Quality Management Using Soft System Methodology – The Case of a Food Industrial Company</VernacularTitle>
			<FirstPage>116</FirstPage>
			<LastPage>132</LastPage>
			<ELocationID EIdType="pii">88485</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Ahmad Reza</FirstName>
					<LastName>Ghasemi</LastName>
<Affiliation>Assistant Professor, PhD in Industrial Management, University of Tehran</Affiliation>

</Author>
<Author>
					<FirstName>Behrang</FirstName>
					<LastName>Kiandokht</LastName>
<Affiliation>Master, Industrial Management Tehran University campus Farabi</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>06</Month>
					<Day>08</Day>
				</PubDate>
			</History>
		<Abstract> 
The objective of this research is to provide a rich picture of current issues of the company and a conceptual model along the seven steps of SSM model in the field of quality management. Soft system methodology is a tool based on the philosophy of soft operational research that has been used to formulate and manage complex problems. Investigating the effect of this technique is a significant contribution to continuous improvement in competitive environments. Therefore, the present study attempts to implement this model in one of the food industries. It seems that the use of soft operational research techniques along with other tools and approaches of total quality management, in organizations that consider quality as an important and strategic issue, help practitioners in this field. The findings indicate that in the studied company strategy formulation is not well-performed according to the company vision. Also, the inappropriate cooperation and involvement of the staff in formulating the strategies, inappropriate support of staff innovation as well as the inappropriate rewards system, lack of effective communication with the customers and partners, changes in the foreign currency, and the problems of refining with the suppliers and contractors are among the issues in the studied company.&lt;br /&gt;&lt;br /&gt;</Abstract>
			<OtherAbstract Language="FA"> 
The objective of this research is to provide a rich picture of current issues of the company and a conceptual model along the seven steps of SSM model in the field of quality management. Soft system methodology is a tool based on the philosophy of soft operational research that has been used to formulate and manage complex problems. Investigating the effect of this technique is a significant contribution to continuous improvement in competitive environments. Therefore, the present study attempts to implement this model in one of the food industries. It seems that the use of soft operational research techniques along with other tools and approaches of total quality management, in organizations that consider quality as an important and strategic issue, help practitioners in this field. The findings indicate that in the studied company strategy formulation is not well-performed according to the company vision. Also, the inappropriate cooperation and involvement of the staff in formulating the strategies, inappropriate support of staff innovation as well as the inappropriate rewards system, lack of effective communication with the customers and partners, changes in the foreign currency, and the problems of refining with the suppliers and contractors are among the issues in the studied company.&lt;br /&gt;&lt;br /&gt;</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Quality management</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Total Quality Management</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Soft System Methodology</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Action Research Approach</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Soft Operational Research</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Food industries</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.pqprc.ir/article_88485_2e1a01c35b665e60ab500263d6e3b19d.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Morvarid Derakhshan Andisheh</PublisherName>
				<JournalTitle>Journal of Quality Engineering and Management</JournalTitle>
				<Issn>3134-0849</Issn>
				<Volume>8</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2018</Year>
					<Month>08</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Analysis of Effective Interactions on After-Sales Services in Iran&#039;s Liquefied Gas Industry Using DEMATEL Fuzzy</ArticleTitle>
<VernacularTitle>Analysis of Effective Interactions on After-Sales Services in Iran&#039;s Liquefied Gas Industry Using DEMATEL Fuzzy</VernacularTitle>
			<FirstPage>133</FirstPage>
			<LastPage>151</LastPage>
			<ELocationID EIdType="pii">88486</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Amir</FirstName>
					<LastName>Mehdiabadi</LastName>
<Affiliation>PhD student of Industrial Management, Department of Management, Tehran South Branch, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-7483-0627</Identifier>

</Author>
<Author>
					<FirstName>Adel</FirstName>
					<LastName>Azar</LastName>
<Affiliation>Professor at Tarbiat Modarres University, Department of Management, Tarbiat Modarres University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Aboutorab</FirstName>
					<LastName>Alirezaei</LastName>
<Affiliation>Associate Professor, Department of Management, Tehran South Branch, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Ghanbar</FirstName>
					<LastName>Abbaspour Asfadan</LastName>
<Affiliation>Assistant Professor, Department of Management, Tehran South Branch, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>06</Month>
					<Day>08</Day>
				</PubDate>
			</History>
		<Abstract>The real world energy sector is one of the most sophisticated systems that must be viewed in a holistic view. In this research, researchers have identified and analyzed the effective interactions of after-sales services in the Iranian LPG industry. Since post-sales services can be assessed on a variety of criteria, the Multi-criteria Decision Approach (MCDM) approach for such an analysis is a good approach. Due to the particular complexity of the liquid gas industry from the refinery to the end user&#039;s end, in this research, DEMATEL FUZZY is used to analyze internal interactions, and for the reader to have a deeper understanding of the subject, the causal diagrams (CLD) in the form of Dynamic Systems (DYNAMIC SYSTEM). After thorough review of the theoretical foundations and expertise, 17 industry-leading indicators of the post-sales service have been identified in this industry and 10 respondents have answered questions. In addition, the researchers express specific definitions of service in this industry. The results of the research show that reliability variables, representations, documents have the most impact, and improvement variables, responsiveness, timing of visits have the greatest interaction with other components in the model. Dynamic model also depicts the real world image of internal service interactions.&lt;br /&gt;&lt;br /&gt;</Abstract>
			<OtherAbstract Language="FA">The real world energy sector is one of the most sophisticated systems that must be viewed in a holistic view. In this research, researchers have identified and analyzed the effective interactions of after-sales services in the Iranian LPG industry. Since post-sales services can be assessed on a variety of criteria, the Multi-criteria Decision Approach (MCDM) approach for such an analysis is a good approach. Due to the particular complexity of the liquid gas industry from the refinery to the end user&#039;s end, in this research, DEMATEL FUZZY is used to analyze internal interactions, and for the reader to have a deeper understanding of the subject, the causal diagrams (CLD) in the form of Dynamic Systems (DYNAMIC SYSTEM). After thorough review of the theoretical foundations and expertise, 17 industry-leading indicators of the post-sales service have been identified in this industry and 10 respondents have answered questions. In addition, the researchers express specific definitions of service in this industry. The results of the research show that reliability variables, representations, documents have the most impact, and improvement variables, responsiveness, timing of visits have the greatest interaction with other components in the model. Dynamic model also depicts the real world image of internal service interactions.&lt;br /&gt;&lt;br /&gt;</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">After-Sales Services</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">LPG</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">dematel fuzzy</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Dynamic system</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.pqprc.ir/article_88486_e4e8dd0c6286d785ce4f2d210ab467fb.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Morvarid Derakhshan Andisheh</PublisherName>
				<JournalTitle>Journal of Quality Engineering and Management</JournalTitle>
				<Issn>3134-0849</Issn>
				<Volume>8</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2018</Year>
					<Month>08</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Using financial statements to calculate the productivity of a method company and compare it with industry</ArticleTitle>
<VernacularTitle>Using financial statements to calculate the productivity of a method company and compare it with industry</VernacularTitle>
			<FirstPage>152</FirstPage>
			<LastPage>168</LastPage>
			<ELocationID EIdType="pii">88493</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Abbas</FirstName>
					<LastName>Rad</LastName>
<Affiliation>Financial Management Department - Damavand Higher Education Institute</Affiliation>

</Author>
<Author>
					<FirstName>Masoumeh ,</FirstName>
					<LastName>Adeli</LastName>
<Affiliation>Master of Accounting - Islamic Azad University, Shahriar Branch</Affiliation>

</Author>
<Author>
					<FirstName>Asghar</FirstName>
					<LastName>Asadi</LastName>
<Affiliation>Assistant Professor of Accounting - Firoozkooh Branch of Azad University</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>06</Month>
					<Day>08</Day>
				</PubDate>
			</History>
		<Abstract>In order to improve productivity, Article 5 of the Sixth Development Plan Law mandates the implementation of the productivity management cycle, which states that &quot;executive bodies and the armed forces are obliged to focus on productivity growth in the economy, while implementing the productivity management cycle in the complex.&quot; &quot;Provide&lt;br /&gt;the necessary arrangements for the operation of this cycle in the units under its auspices in&lt;br /&gt;coordination with the National Productivity Organization of Iran and submit its annual report to the National Productivity Organization.&quot; It is also stated in the program that from the projected 8% economic growth, 2.8%, ie equivalent to 35% growth, should be obtained from the total factor productivity.&lt;br /&gt;There are several models for measuring productivity, among which the model with financial ratios approach has been used in this paper. There are also various methods for measuring productivity. In this paper, the value-added method is used to calculate partial and total productivity indices in Method Company. Two financial statements, balance sheet and profit and loss statement in the period of 1391 to 1395 as input data as well as standard worksheets of the Productivity Center of Iran to measure productivity indicators are entered into a software designed to output Those productivity ratios and related graphs are similar in the method company and in the industry. Multiple regression was used to select the appropriate approach to improve productivity and show the effect of independent variables (partial productivity indices) on the dependent variable (total productivity), followed by material productivity as the first priority and productivity. Manpower, energy and capital were identified as the next priorities for improvement in Method Company.&lt;br /&gt;&lt;br /&gt;</Abstract>
			<OtherAbstract Language="FA">In order to improve productivity, Article 5 of the Sixth Development Plan Law mandates the implementation of the productivity management cycle, which states that &quot;executive bodies and the armed forces are obliged to focus on productivity growth in the economy, while implementing the productivity management cycle in the complex.&quot; &quot;Provide&lt;br /&gt;the necessary arrangements for the operation of this cycle in the units under its auspices in&lt;br /&gt;coordination with the National Productivity Organization of Iran and submit its annual report to the National Productivity Organization.&quot; It is also stated in the program that from the projected 8% economic growth, 2.8%, ie equivalent to 35% growth, should be obtained from the total factor productivity.&lt;br /&gt;There are several models for measuring productivity, among which the model with financial ratios approach has been used in this paper. There are also various methods for measuring productivity. In this paper, the value-added method is used to calculate partial and total productivity indices in Method Company. Two financial statements, balance sheet and profit and loss statement in the period of 1391 to 1395 as input data as well as standard worksheets of the Productivity Center of Iran to measure productivity indicators are entered into a software designed to output Those productivity ratios and related graphs are similar in the method company and in the industry. Multiple regression was used to select the appropriate approach to improve productivity and show the effect of independent variables (partial productivity indices) on the dependent variable (total productivity), followed by material productivity as the first priority and productivity. Manpower, energy and capital were identified as the next priorities for improvement in Method Company.&lt;br /&gt;&lt;br /&gt;</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Keywords: balance sheet</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">profit and loss statement</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Productivity</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">method company</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Value Added</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.pqprc.ir/article_88493_98a3ec15f44e451cd27fc7bd4db86947.pdf</ArchiveCopySource>
</Article>
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