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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Tehran Press</PublisherName>
				<JournalTitle>Advances in Industrial Engineering</JournalTitle>
				<Issn>2783-1744</Issn>
				<Volume>43</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>11</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Applying Revenue Management in Tehran-Mashhad Route, Ghazal Trains</ArticleTitle>
<VernacularTitle>طراحی مدل مدیریت درآمد در شرکت‌های حمل و نقل عمومی:
موردکاوی قطار غزال تهران- مشهد‌</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">20431</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mohsen</FirstName>
					<LastName>Pour Seyed Aghaee</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Saeed</FirstName>
					<LastName>Khedmatloo</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Siavash</FirstName>
					<LastName>Azarmi</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
		<Abstract>Revenue management is the process of accepting or ordering which increases gained revenue by using different techniques of pricing and selling capacity. This technique has improved greatly in service sector specially passenger section. In this article, the process of selling ticket in Tehran-Mashhad route for Ghazal passenger train is modeled by two methods: static multi class and heuristic EMSR-b that is one of the revenue management models. Finally both models are run 30000 times and the results in comparison with current revenue show potential for 8 to 10 billion Rial increase in revenue annually which is very economic even by taking into consideration the costs of implementing the project. By deeper studies especially in the field of network models for revenue management, it is possible to increase the revenue in the whole network of Ghazal passenger trains.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">EMSR-b</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Rail Way</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Revenue management</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Static Multiple Class</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">value function</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Yield Management</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://aie.ut.ac.ir/article_20431_43a6a2cdc2e3946bb67dbf971efface1.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran Press</PublisherName>
				<JournalTitle>Advances in Industrial Engineering</JournalTitle>
				<Issn>2783-1744</Issn>
				<Volume>43</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>11</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Risk Assessment and Management of Petrochemical Transportation Pipelines</ArticleTitle>
<VernacularTitle>ارزیابی و مدیریت ریسک خطوط لوله‌ی ارتباطی پتروشیمی</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">20432</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Moosa</FirstName>
					<LastName>Jabbari</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Hasan</FirstName>
					<LastName>Asilian</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Seyed Bagher</FirstName>
					<LastName>Mortazavi</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Abdol Samad</FirstName>
					<LastName>Zarringhalam</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Ebrahim</FirstName>
					<LastName>Hajizadeh</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Khavanin</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
		<Abstract>Risk assessment and management of petrochemical feed and product transportation pipelines is very important to preventing probable accidents. So, 60 pipelines evaluated by chemical exposure index and chlorine pipeline due to high hazard distances selected for relative risk analysis. The chlorine pipeline with 3468 meter length divided to 100 meter sections, and Third Party Damage Index (TPDI), Corrosion Index (CI), Incorrect Operation Index (IOI) and Design Index (DI) in this line were assessed. Leak Impact Factor (LIF) also calculated by product hazard, leak volume, dispersion and receptors near the pipeline. At the end of the study, relative risk was calculated and recommendations for risk management were offered. The results of study were shown that in the chlorine pipeline, TPDI has highest risk while DI has lowest risk. Also, up to average 22.09% improvement at the RR was achieved by suggested risk management program.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">Chlorine gas</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Pipeline</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Relative Risk</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">risk management</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://aie.ut.ac.ir/article_20432_25f934d475a8cfdfabfa603816d6ca4f.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran Press</PublisherName>
				<JournalTitle>Advances in Industrial Engineering</JournalTitle>
				<Issn>2783-1744</Issn>
				<Volume>43</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>11</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Solving a Stochastic Multi-Depot Multi-Objective Vehicle Routing Problem by a Simulated Annealing</ArticleTitle>
<VernacularTitle>حل مساله‌ی مسیریابی وسایل نقلیه در حالت چندهدفی، چندقرارگاهی و احتمالی، با استفاده از آنیلینگ شبیه‌سازی شده</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">20433</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Hosein Ali</FirstName>
					<LastName>Hassanpour</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Masoud</FirstName>
					<LastName>Mosadegh-Khah</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Reza</FirstName>
					<LastName>Tavakkoli Moghaddam</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
		<Abstract>In this paper, a stochastic multi-depot multi-objective vehicle routing problem (VRP) is studied. Based on observations in real-world problems, we develop an aspect of the problem, such as stochastic availability of routes. To solve the problem in this situation, a two-objective mathematical model is developed, in which the related objective functions are: (1) minimizing transportation costs and (2) maximizing probability of delivery to customers. The second objective function, which is nonlinear, has performed to a linear function. Since this problem is NP-hard, to solve it we propose simulated annealing (SA) that is a well-known meta-heuristic algorithm. To show the performance of this algorithm, we compare the related results in terms of run-time and objective function values with the lower bound and Lingo 8 software for different sizes of the given problem.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">Multi-Depots</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Multi-Objective</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Simulated Annealing</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Stochastic</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Vehicle routing problem</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://aie.ut.ac.ir/article_20433_84ea0c4404a7d81172e8c82931ab90e0.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran Press</PublisherName>
				<JournalTitle>Advances in Industrial Engineering</JournalTitle>
				<Issn>2783-1744</Issn>
				<Volume>43</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>11</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Evaluating the Efficiency of Technical Analysis Rules in Tehran Stock Exchange</ArticleTitle>
<VernacularTitle>بررسی کارآیی روش‌های تحلیل تکنیکی در بورس اوراق بهادار تهران</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">20434</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Jafar</FirstName>
					<LastName>Razmi</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Fariborz</FirstName>
					<LastName>Jolai</LastName>
<Affiliation></Affiliation>
<Identifier Source="ORCID">0000-0003-0824-8513</Identifier>

</Author>
<Author>
					<FirstName>Reza</FirstName>
					<LastName>Tavakoli Moghadam</LastName>
<Affiliation></Affiliation>
<Identifier Source="ORCID">0000-0002-6757-926X</Identifier>

</Author>
<Author>
					<FirstName>Amir Abbas</FirstName>
					<LastName>Emami K</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
		<Abstract></Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Bootstrap</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Effective Market Hypothesis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Stock Price</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Technical Analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Tehran Stock Exchange</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://aie.ut.ac.ir/article_20434_c8f7e8cf42a81f4b87c8a82b4c454ed1.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran Press</PublisherName>
				<JournalTitle>Advances in Industrial Engineering</JournalTitle>
				<Issn>2783-1744</Issn>
				<Volume>43</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>11</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Development of a mechanized self- assessment system based on ISO 9004:2000 with using the expert systems approach</ArticleTitle>
<VernacularTitle>طراحی سیستم مکانیزه‌ی خودارزیابی، بر پایه‌ی ISO 9004:2000
 با بهره گیری از رویکرد سیستم های خبره</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">20435</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Kamran</FirstName>
					<LastName>Rezaie</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Mohsen</FirstName>
					<LastName>Sadegh Amalnik</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Soroosh</FirstName>
					<LastName>Lajevardi</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Salman</FirstName>
					<LastName>Nazari Shirkouhi</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
		<Abstract>In this paper, a mechanized system for self-assessment based on process-oriented approach of ISO 9004:2000 has been developed. To design of this mechanized system, the expert system has been used as in providing the assessment and scoring questions the experts’ knowledge, head auditors of quality management system, has been used and this knowledge has been saved in the ACCESS software  database. Also, Visual Basic software for creating user interface and deduction has been applied. In addition, the stage of development of this system conforms to the stage of development of expert systems. The   organizations or users can assess themselves, determine their quality management maturity level, and identify their performance improvement points, based on ISO 9004:2000, with using this system.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Expert system</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Quality Assurance System</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">self-evaluation</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://aie.ut.ac.ir/article_20435_00254d816728ef385187c60b08cb5c10.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran Press</PublisherName>
				<JournalTitle>Advances in Industrial Engineering</JournalTitle>
				<Issn>2783-1744</Issn>
				<Volume>43</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>11</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A Multi Objective Approach to Supplier Evaluation using Multiple Criteria Data Envelopment Analysis (MCDEA)</ArticleTitle>
<VernacularTitle>رویکردی چند هدفه برای ارزیابی تامین‌کنندگان با استفاده از مدل تحلیل پوششی داده‌های چندمعیاره</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">20436</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Hadi</FirstName>
					<LastName>Moheb Alizadeh</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Farhad</FirstName>
					<LastName>Faez</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
		<Abstract>The aim of this paper is to evaluate suppliers using a Multi Objective Programming Problem and Multiple Criteria Data Envelope Analysis. Toward accomplishing this goal, first a general algorithm is introduced to obtain a continuous set of efficient solutions of the given Multi Objective Programming Problem. Then, since each member of such set can be viewed as a combination of inputs such as raw material for purchasing firm, outputs level of the firm corresponding to the specific combinations of the inputs are estimated. Finally, based on these inputs and outputs, the efficiency of the purchasing firm is computed by applying Multiple Criteria DEA. So the number of suppliers and order allocation among them are determined in a way that maximizes the DEA efficiency of the firm.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Efficient Solution</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Multi Objective Programming Problem</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Multiple Criteria Data Envelope Analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Preferred Solution</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Supplier Selection Problem</Param>
			</Object>
		</ObjectList>
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</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran Press</PublisherName>
				<JournalTitle>Advances in Industrial Engineering</JournalTitle>
				<Issn>2783-1744</Issn>
				<Volume>43</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>11</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>New Method to Determine Buffer Size for High Risk Project Environment in Critical Chain Method</ArticleTitle>
<VernacularTitle>روشی جدید برای تعیین بافرتغذیه برای محیط های پروژه با ریسک
بالا در روش زنجیره‌ی بحرانی</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">20437</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Mansourian</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Shossein</FirstName>
					<LastName>Iranmanesh</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Mohammad</FirstName>
					<LastName>Tabesh</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
		<Abstract>In this research, a method for determining feeding buffer sizes in critical chain project scheduling is introduced. The method integrates project characteristics into the formulation as well as environment project risk. Resource tightness, environment risk and network morphology incorporate into the formulation. The method is tested and compared to three commonly suggested methods in the literature, the cut and paste method, the root square error method and adaptive procedure with resource tightness. 
The comparison is done by means of a simulation study using the kolicsh hartman data set. The test results indicate that all of the suggested methods generate better buffer sizes; therefore, they provide sufficient protection against the delays in project completion time.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Critical Chain Method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Feeding Buffer</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Project Risk</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Project scheduling</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://aie.ut.ac.ir/article_20437_899637611106fa77ee41097ef65f60af.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran Press</PublisherName>
				<JournalTitle>Advances in Industrial Engineering</JournalTitle>
				<Issn>2783-1744</Issn>
				<Volume>43</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>11</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Methodology for Safety Stock Placement in Supply Chain by Using Simulated Annealing Algorithm</ArticleTitle>
<VernacularTitle>متدولوژی برای تخصیص مقادیر ذخیره‌ی احتیاطی در یک زنجیره‌ی تأمین، با استفاده از الگوریتم شبیه سازی تبرید</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">20438</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Seyyed Reza</FirstName>
					<LastName>Moosavi Tabatabaei</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Ahmad</FirstName>
					<LastName>Makui</LastName>
<Affiliation></Affiliation>
<Identifier Source="ORCID">0000-0001-6249-530X</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
		<Abstract>In this paper, we introduce a methodology for safety stock placement in supply chain. The problem has two objectives: minimization of good&#039;s delivery time and inventory cost. Because the problem belongs to NP-Hard category, we develop a proper simulated annealing algorithm (SA) for solve the proposed methodology in large scaled problem. For verify the performance and efficiency of the methodology is shown via a numerical example. The obtained results imply the efficiency of proposed methodology and the ability of developed simulated annealing algorithms for achieve to near optimal solution.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Inventory management</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Simulated Annealing</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Supply Chain Management</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://aie.ut.ac.ir/article_20438_d89af72662f49ece4d09dec75a8b0166.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran Press</PublisherName>
				<JournalTitle>Advances in Industrial Engineering</JournalTitle>
				<Issn>2783-1744</Issn>
				<Volume>43</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>11</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A meta-heuristic approach for the ELDSP in flexible flow lines: the power-of-two policy</ArticleTitle>
<VernacularTitle>یک روش فوق‌ابتکاری برای مسئله‌ی زمانبندی تولید و تحویل انباشته‌ها در خطوط جریان کارگاهی منعطف: سیاست توان‌های دو</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">20439</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Torabi</LastName>
<Affiliation></Affiliation>
<Identifier Source="ORCID">0000-0002-9764-9679</Identifier>

</Author>
<Author>
					<FirstName>Masoud</FirstName>
					<LastName>Jenabi</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
		<Abstract>In this paper, the problem of lot sizing, scheduling and delivery of several items in a two-stage supply chain over a finite planning horizon is studied. Single supplier via a flexible flow line production system (FFL) produces several items and delivers them directly to an assembly facility. Based on basic period (BP) strategy, a new mixed zero-one nonlinear programming model has been developed with the objective of minimization average setup, inventory-holding and delivery costs per unit time in the supply chain without any stock-out. The problem is very complex and it cannot be solved to optimality especially in real-sized problems. So, an efficient hybrid genetic algorithm (HGA) has been proposed based on applying the most applied BP approach i.e., power-of-two policy. Based on a number of problem instances, the solution quality of the algorithm has been evaluated and also compared with the common cycle approach. Numerical experiments demonstrate the superiority of the solutions of proposed HGA and indicate that is a very promising solution method for the problem.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Basic Period Approach</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Flexible Flow Lines</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Hybrid Genetic Algorithm (HGA)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Power-of-Two Policy</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Lot and Delivery-Scheduling</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://aie.ut.ac.ir/article_20439_deceadecf04167f28d3e92a743dca071.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran Press</PublisherName>
				<JournalTitle>Advances in Industrial Engineering</JournalTitle>
				<Issn>2783-1744</Issn>
				<Volume>43</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>11</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Application of fuzzy AHP technique to selection the most efficient method of improving of productivity</ArticleTitle>
<VernacularTitle>به‌کارگیری تکنیک فرآیند سلسله مراتبی فازی 
با هدف انتخاب کاراترین روش ارتقاء بهره‌وری</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">20440</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Davoud</FirstName>
					<LastName>Shishehbori</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Seyed Reza</FirstName>
					<LastName>Hejazi</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
		<Abstract></Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Fuzzy AHP Technique</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy Prioritization Method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">productivity</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://aie.ut.ac.ir/article_20440_20a85fedde1a26e56fe6b07f9e6192f0.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
