First Pages
text
article
2014
per
Industrial Management Journal
University of Tehran
2008-5885
6
v.
4
no.
2014
1
4
https://imj.ut.ac.ir/article_55454_97b3c0aaa8b1498a7aedae4c8ed57673.pdf
A simulation approach for assembly line improvement of Iran Heavy Diesel Company
Hassanali
Aghajani
Associate Prof., Industrial Management, University of Mazandaran, Babolsar, Iran
author
Hamzeh
Samadi
PhD Candidate, Department of Public Administration, Islamic Azad University, Science and Reserch Branch, Tehran, Iran
author
Hossein
Samadi
MSc. Public Administration, Young Researcher Club, Qaemshahr, Iran
author
Hossein
Lotfi
MSc. of Industrial Management, University of Mazandaran, Babolsar, Iran
author
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article
2014
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[Naeini1] The current research aims to investigate improvement possibility of Iran Heavy Diesel (DESA) Company Assembly Line by Simulation. Therefore, in addition to reviewing the existing thematic literature in relation to the system, model, simulation, assembly lines and the improvement solutions, as well as studying similar research background and history, the primary model of company assembly line was created by using data collection instruments like documents reviewing and observation. After presentation of created model and a summery of descriptive data, the model was validated by averages test. Data were analyzed by ARENA and SPSS using software. In the next stage, the improvable point of assembly line, namely Test room was identified by interviewing with 48 people related with assembly line. Then, after describing the reason of attention to this point, the use of new technology was proposed for achieving improvement in this section. The results of testing this proposition by simulation model showed that if such system is implemented in assembly line, the cycle time will improve by 33% and the queue time in test station will reduce by 62%. Finally, based on these results, the discussion and conclusion were represented, and some suggestions were given for managers and directions for further researches were provided in conclusion.
Industrial Management Journal
University of Tehran
2008-5885
6
v.
4
no.
2014
635
664
https://imj.ut.ac.ir/article_50705_a15322d0a619ec9d5113d6d77110757c.pdf
dx.doi.org/10.22059/imj.2014.50705
An analysis of housing market in Tehran Province using system dynamics
Ali Mohamad
Ahmadvand
Prof., Industrial Engineering Department, Faculty of Engineering, Eyvanekey Institute of Higher Education, Semnan, Iran
author
Hadiseh
Khodadadi Abyazani
MSc. in Industrial Engineering, Faculty of Engineering, Eyvanekey Institute of Higher Education, Semnan, Iran
author
zeinab
Mohammadiani
MSc. in Industrial Engineering, Faculty of Engineering, Eyvanekey Institute of Higher Education, Semnan, Iran
author
text
article
2014
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[Naeini1] Housing is the third top factor in human life, after food and clothing in all communities. Many variables are involved in determining housing prices and it is impossible to ignore housing feedback. One of the powerful tools to determine the impact of policies in this field is using system dynamics approach. According to this approach, the cause-and- effect diagram of factors affecting housing prices in Tehran is presented for dynamic model. To simulate the intended model Vensim software was used. Finally, scenario making was conducted to consider various policies in housing market. The results show that enhanceing other provinces' facilities, increasing the supply of affordable housing by the government as well as loaning for construction decrease the housing price thereby the price would be balanced.
Industrial Management Journal
University of Tehran
2008-5885
6
v.
4
no.
2014
665
683
https://imj.ut.ac.ir/article_52449_6c43fa5d0da6d4b7eaadc933ca9a9cae.pdf
dx.doi.org/10.22059/imj.2014.52449
Drawing the cause-and-effect relations during the time in a dynamic strategy map
Mojtaba
Akbarian
PhD Candidate, Industrial Engineering, Islamic Azad University, Science and Research branch, Tehran, Iran
author
Esmaeil
Najafi
Assistant Prof., Department of Industrial Engineering, Islamic Azad University, Science and Research branch, Tehran, Iran
author
Farhad
Hosseinzadeh Lotfi
Prof., Department of Mathematics, Islamic Azad University, Science and Research branch, Tehran, Iran
author
Reza
Tavakkoli-Moghaddam
Prof., Department of Industrial Engineering, University of Tehran, Tehran, Iran
author
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article
2014
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[Naeini1] One of the biggest organizational challenges in deployment of strategies is the time lag between the cause-and-effect relations according to a lag between indicators of strategic objectives. With adding the time factor, the strategic objectives at different times have a causal relationship with each other. The causal relationships between strategic objectives are essential. In this paper, after dividing strategic objectives into four aspects of balanced scorecard in the National Iranian Oil Refining & Distribution Company, the fuzzy DEMATEL method is used to draw the cause-and-effect relation between strategic objectives in the strategic map considering the time delay from the lag key performance indices. By drawing the dynamic strategy map, the network relation between strategic objectives during the time identified and by defining strategic initiatives for the strategic objectives of the lag key performance indices, improvement for the strategic objectives of the lead key performance indices will appear.
Industrial Management Journal
University of Tehran
2008-5885
6
v.
4
no.
2014
685
707
https://imj.ut.ac.ir/article_51986_90a46fe1c2256818389a13250c91bf39.pdf
dx.doi.org/10.22059/imj.2014.51986
A method for solving possibilistic multi-objective linear programming problems with fuzzy decision variables
Mahnaz
Hosseinzadeh
PhD of Operations Research Management, University of Tehran, Tehran, Iran
author
Mohammad Bagher
Menhaj
Prof. in Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
author
Aliyeh
Kazemi
Assistant Prof., Industrial Management, University of Tehran, Tehran, Iran
author
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article
2014
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[Naeini1] In this paper, a new method is proposed to find the fuzzy optimal solution of fuzzy multi-objective linear programming problems (FMOLPp) with fuzzy right hand side and fuzzy decision variables. Due to the imprecise nature of available resources, determination of a definitive solution to the model seems impossible. Therefore, the proposed model is designed in order to make fuzzy decisions. The model resolves the deficiencies of the previous models presented in this field and its main advantage is simplicity. To illustrate the efficiency of the proposed method, it is applied to the problem of allocating orders to suppliers. Due to the nature of the fuzzy solutions obtained from solving the model, the decision maker will be faced with more flexibility in decision making.
Industrial Management Journal
University of Tehran
2008-5885
6
v.
4
no.
2014
709
724
https://imj.ut.ac.ir/article_51985_4a0bbade4618f93e959e5cf7a592b72b.pdf
dx.doi.org/10.22059/imj.2014.51985
Explanation of factors affecting supply risk management in automotive industry supply chain: A Grounded Theory
Masoud
Simkhah
Ph.D. Student, Allame Tabatabaei University, Tehran,Iran
author
Kamran
Feizi
Prof., Allame Tabatabaei University, Tehran,Iran
author
Laya
Olfat
Associate Prof., Allame Tabatabaei University, Tehran,Iran
author
Maghsod
Amiri
Prof., Allame Tabatabaei University, Tehran,Iran
author
text
article
2014
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This article aims to identify what and how factors influence management of supply risk in automotive industry supply chain. Based on grounded theory and 13qualitative in-depth interviews with 10 managers in Iran's automotive industry supply chain, a theoretical framework is developed to examine antecedents and effective factors of this process. This framework suggests a broad range of factors causing an automobile manufacturer to manage the supply risk. These factors are called perceptual-attributive factors. In addition varied contextual and intervening factors are affecting automobile manufacturer decisions thereby guiding their actions/reactions in this process. Such factors are categorized as bedder factors and contingency factors.
Industrial Management Journal
University of Tehran
2008-5885
6
v.
4
no.
2014
725
746
https://imj.ut.ac.ir/article_50699_2c0560c3cf65ec0064e11bddf054745a.pdf
dx.doi.org/10.22059/imj.2014.50699
An analysis of a new combined structural model of the Balanced Scorecard and European Foundation for Quality Management models
Mohammad
Sharifi-Tehrani
Ph.D. Candidate, Marketing Management, Faculty of Administrative Sciences and Economics, University of Isfahan, Iran
author
Javad
Yousefi
Instructor, Department of Tourism Management, Payame Noor University (PNU), Tehran, Iran
author
text
article
2014
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The present study aims to address the problem of inadequate coverage of various aspects of organizational performance by balanced scorecard (BSC) model through its developing based on the European foundation for quality management (EFQM) model. To this end, a developed BSC model, encompassing variables of stakeholders, resource effectiveness, processes effectiveness, human resource management effectiveness, leadership method, strategy and performance was proposed and, then, validated in a new structural model. The findings firstly revealed an appropriate fitness of the proposed model. Regarding the relationship among variables, staff management effectiveness, resource effectiveness, leadership method and processes effectiveness, respectively, imposed the most “direct impacts” on the organizational performance. On the other hand, “summated impacts” (direct and indirect) on the organizational performance were imposed by leadership method, staff management effectiveness, resource effectiveness and stakeholders variables, respectively. Managers can apply the model suggested in this study to measure performance in the respective organizations as well as a weighting criteria guide on how to accurately measure different dimensions of performance.
Industrial Management Journal
University of Tehran
2008-5885
6
v.
4
no.
2014
747
765
https://imj.ut.ac.ir/article_51447_e1f755b3094494070446a4402a09ab08.pdf
dx.doi.org/10.22059/imj.2014.51447
Developing several pricing models in green supply chain under risk by Game Theory Approach
Ghazaleh
Allameh
MSc. Student in Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran
author
Maryam
Esmaeili
Assistant Prof. in Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran
author
Taraneh
Tajvidi
Assistant Prof. in Mathematics, Faculty of Science, Alzahra University, Tehran, Iran
author
text
article
2014
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Green supply chain management is an environmental approach in supply chain management that aims to decrease ecological risks in products’ life cycle. Closed-loop supply chain by collecting and recycling the harmful production in nature attempts to achieve this goal. In this paper, due to different strategies in collecting products, several pricing models in two-echelon closed supply chain are presented. The interactions between the manufacturer and the retailer in pricing are investigated based on Stackelberg game and the optimal decisions of manufacturer and retailer are obtained in each model. Moreover, because of the dynamic nature of the supply chain in the real world, risk factor based on the mean-variance model is considered in the closed-loop. Finally, the presented models are analyzed using a numerical example and the best model is selected by comparing the profits. Moreover, sensitivity analyses are performed on collecting rate, recycling rate and the risk aversion. Results show that the coordinating model between the manufacturer and the retailer can be an appropriate substitution in high collecting rates and low risk aversion values.
Industrial Management Journal
University of Tehran
2008-5885
6
v.
4
no.
2014
767
789
https://imj.ut.ac.ir/article_52079_89708f042e4bb2858183b667672d4f0b.pdf
dx.doi.org/10.22059/imj.2014.52079
Performance assessment and ranking of Iranian insurance companies using an integrated model with experts preferences
Hashem
Omrania
Assistant Prof., Industrial Engineering, Urmia University of Technology, Urmia, Iran
author
Ramin
Gharizadeh Beiragh
MSc. Student of Industrial Engineering, Urmia University of Technology, Urmia, Iran
author
Saeed
Shafie Kaleibari
BS in Industrial Engineering, Payam e Noor University of Tabriz, Tabriz, Iran
author
text
article
2014
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This paper presents an integrated Data envelopment analysis (DEA) – Principal component analysis (PCA) – Analytical hierarchy process (AHP) to achieve the efficiency scores and ranks of the insurance companies. Fourteen insurance companies with thirteen input and output variables have been considered for the purpose of this study. Since the DEA model is sensitive to the number of variables in comparison to number of DMUs, to reduce data dimension, the PCA method is used. Obviously, the final ranks from PCA-DEA model is very subjective and only based on the pattern and distribution of data sets. Therefore, for incorporating the expert preferences, the AHP model is combined with two previous models and the final ranking is done by the integrated DEA-PCA-AHP and PCA-DEA model. The results of the model show that DANA, RAZI and DEY have become the best rank among insurance companies.
Industrial Management Journal
University of Tehran
2008-5885
6
v.
4
no.
2014
791
807
https://imj.ut.ac.ir/article_50702_10d6e0ca5dfa0915e5d55fc7bcd8c14e.pdf
dx.doi.org/10.22059/imj.2014.50702
Modeling the effect of external sanctions on contractor's claims in DB project in Iran
Mahmoud
Golabchi
Prof., University of Tehran, Tehran, Iran
author
Hadi
Talkhabi
MSc. Student in Project Management and Construction, University of Tehran, Tehran, Iran
author
Majid
Parchami Jalal
Assistant Prof., University of Tehran, Tehran, Iran
author
Mohammad
Mirkazemi Mood
PhD Candidate, Management, University of Tehran, Tehran, Iran
author
text
article
2014
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Claimed have became one of the inherent attribute of construction industry. In order to determine the most appropriate strategy for prevention and resolution of these claims, some studies have been conducted to identify claim`s causes but they are common in construction industry. It seems that the reason of making these claims is a better understanding of complexity and the casual variables. In this regard, one can refer to sanctions and their possible effects on the construction industry over recent years, resulting in the creation of remarkable claims. A “cause and effect model” of the impact of sanctions on creating claims in DB project has developed by the information collected through interviews as well as the study of documents related to the recent claims. Then, the studied system is simulated under three different sanction scenarios. The results show that incidence of sanctions influence other aspects of the project and will cause new claims and affect time and cost as the main causes of claims and this effect increases with the severity of sanctions thereby casuing vigorous growth and exponential claims.
Industrial Management Journal
University of Tehran
2008-5885
6
v.
4
no.
2014
809
829
https://imj.ut.ac.ir/article_50687_b9b5da3c5400bbeaa98f0f39fdbc7197.pdf
dx.doi.org/10.22059/imj.2014.50687
Designing a model for selecting construction projects in public sector
Ali
Mohaghar
Associate Prof., Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran
author
Mohamad Reza
Mehregan
Prof., Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran
author
Adel
Azar
Prof., Industrial Management, Faculty of Economic and Administrative Sciences, Tarbiat Modares University, Tehran, Iran
author
Nasser
Motahari
Assistant Prof., Management, Faculty of Economic and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran
author
text
article
2014
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Much research hasn’t been done in the area of project selection in the public sector. In this paper, we tried to choose projects in the public sector, and a linear programming model is presented. In an effort to build the model, the decision criteria were identified using the Delphi method and then the criteria were reviewed at conceptual combining. The model was constructed in a linear, goal and mixed integer programming approach. After building the model, it was tested with data on budget bill, then, the results were analyzed and the model was revised several times. The results of the model execution confirmed its validity. This type of model as a decision support system can be used for project selection in the public sector.
Industrial Management Journal
University of Tehran
2008-5885
6
v.
4
no.
2014
831
847
https://imj.ut.ac.ir/article_52033_01f42cde89ed3b4cb8dd6c4ef97eaf07.pdf
dx.doi.org/10.22059/imj.2014.52033
English Abstracts
text
article
2014
per
Industrial Management Journal
University of Tehran
2008-5885
6
v.
4
no.
2014
1
10
https://imj.ut.ac.ir/article_55453_32717cba6ed32461258675e9fa35b162.pdf
dx.doi.org/10.22059/imj.2014.55453