First Pages
text
article
2015
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Industrial Management Journal
University of Tehran
2008-5885
7
v.
1
no.
2015
1
4
https://imj.ut.ac.ir/article_55456_a2951e401ad05ac03a115ba93d480d26.pdf
Relative performance of statistical and fuzzy regression models in estimation of gasoline demand in Iran
Mohammad Reza
TaghizadehYazdi
Assistant Prof., Industrial Management, Faculty of Management, University of Tehran, Iran
author
Hossein
Mirshojaeian Hosseini
Assistant Prof., Interdisciplinary Economics, Faculty of Economics, University of Tehran, Tehran, Iran
author
Ezzatollah
Asgharizadeh
Associate Prof., Industrial Management, Faculty of Management, University of Tehran, Iran
author
Hamed
Shakouri Ganjavi
Associate Prof., Industrial Management, Faculty of Management, University of Tehran, Iran
author
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article
2015
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Gasoline is the most important energy product in the passenger transportation sector in Iran. Gasoline demand survey has a high priority in Iran because of its ever-increasing consumption. The most important challenges for this purpose are uncertainties resulting from structural failure of economy, changing of policies and lack of accurate data. This research aims to specify the variables explaining the gasoline demand in Iran and to estimate gasoline demand by using the statistical and fuzzy regression models over the period 1981-2007. Finally, the models were compared using standard criteria. The results indicate that both methods have enough accuracy for estimating and forecasting gasoline demand. In addition, there is a significant relationship between gasoline price, car per capita and trend as explanatory variables of gasoline demand per capita.
Industrial Management Journal
University of Tehran
2008-5885
7
v.
1
no.
2015
1
19
https://imj.ut.ac.ir/article_50684_d5de4a54a75f0db2f4d900d4d84c2c6c.pdf
dx.doi.org/10.22059/imj.2015.50684
A project portfolio selection model with project interaction & resources interdependency consideration using artificial neural networks
Behrooz
Dorri
Associate Prof., Management and Accounting Faculty, Shahid Beheshti University, Tehran, Iran
author
Behrang
Asadi
PhD Candidate, Finance, University of Tehran, Tehran, Iran
author
Sasan
Mazaheri
PhD Candidate, Management- OR, University of Tehran, Tehran, Iran
author
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article
2015
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A vast number of organizational projects as well as complexity of decision making process can cause particular challenges for project management and its leadership. In order to use organization assets and opportunities efficiently, it is necessary that manager implement a comprehensive multidimensional project portfolio management system that considers economic, social and technical details of the projects. Resource constraint compels managers to select operational proposal projects. Thus managers can maximize organizational utility due to project portfolio’s resource constraint. This study considers the interactive effects of project portfolio evaluation and sharing organizational project resources with respect to its evaluation and choice of the projects.. In this two-step model, first a branch and bound algorithm with resource interaction was utilized to screen maximal portfolio and, in the next step, each portfolio was evaluated based on artificial neural networks to rank the end project portfolios. Also, the ANN scores are strongly correlated with the DEA and COLS efficiency scores.
Industrial Management Journal
University of Tehran
2008-5885
7
v.
1
no.
2015
21
42
https://imj.ut.ac.ir/article_52106_c4bb6c44f847f2656e40614b0b66abc8.pdf
dx.doi.org/10.22059/imj.2015.52106
Mostafa
Zareie
Master of Industrial Engineering, University of Imam Hossein, Iran
author
Hossein Ali
Hasanpoor
Assistant Prof., Industrial Engineering, University of Imam Hossein, Iran
author
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article
2015
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Selecting the best alternative to project activity is important in project scheduling so that the cost and the time of project should be consistent with the contractor or the employer. Note that, we have many activities in projects and also there are many alternatives to select. The selected alternative doesn’t lead to unique solution but includes a set of solutions in which there are no priorities. So in this paper, we propose a mathematical model of project scheduling with multiple objectives based on cost payment and resource constraint patterns. Since the proposed model is the combinatorial optimization problem and is a NP-hard problem, so we propose the multi-objective evolutionary algorithms such as NSGA-II and MOPSO to solve this problem. Also, the performance of the proposed algorithm is evaluated through the comparative criteria. Finally, to examine the validity of the proposed scheme, we compare the Meta-heuristic results with the exact solution from GAMS software, and the results show the satisfactory performance of the proposed algorithm.
Industrial Management Journal
University of Tehran
2008-5885
7
v.
1
no.
2015
43
64
https://imj.ut.ac.ir/article_53858_cf9ad240c8b84ae38ff9937faffaa3ea.pdf
dx.doi.org/10.22059/imj.2015.53858
Multi-objective optimization of criminal trial process using descrete event computer simulation and design of experiment
Leila
Alizadeh
MSc. Student, School of Industrial Engineering, Islamic Azad University, South of Tehran Branch, Tehran, Iran
author
Rassoul
Noorossana
Prof., Industrial Engineering Department, Science and Technolgy University, Tehran, Iran
author
Sadigh
Raissi
Assistant Prof., School of Industrial Engineering, Islamic Azad University, South of Tehran Branch, Tehran, Iran
author
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article
2015
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Since the analysis of complex services systems by using mathematical modeling techniques, with considering the random patterns prevailing in them, is so difficult or probably impossible, improvement guidelines are often followed based on the experts' experiences using qualitative methods. In the present paper, by employing a discrete event computer simulation methodology, criminal trial system has been quantitatively analyzed in a selected court in Iran and appropriate operational strategies to improve a couple of system performance indicators have been provided using sophisticated statistical tools such as design of experiments, hypothesis testing, regression analysis, sensitivity analysis and multi-objective optimization. Simulation results show possibility of a 27% reduction in average responding time on penal claims and simultaneously 80% reduction on repeated referral rate. Also, in order to examine analytical details, computer simulation model was validated using hypothesis testing method on a few dummy response variables.
Industrial Management Journal
University of Tehran
2008-5885
7
v.
1
no.
2015
65
82
https://imj.ut.ac.ir/article_52860_54374106f64bb57d2457e5103fa482d3.pdf
dx.doi.org/10.22059/imj.2015.52860
Configuring integrated supply chain network stochastic strategic
Hamidreza
Fallah Lajimi
PhD Student in Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran
author
Ahmad
Jafarnejad
Prof., Faculty of Management, University of Tehran, Tehran, Iran
author
Mohammadreza
Mehrgan
Prof., Faculty of management, University of Tehran, Tehran, Iran
author
Laaya
Olfat
Associate Prof., Faculty of Management and Accounting, Allame Tabatabaei University, Tehran, Iran
author
text
article
2015
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This research provides an optimization tool for use by supply chain managers in the design and operation of manufacturing- distribution networks under uncertain demand conditions. The problem under consideration consists of determining the supply chain infrastructure; raw material purchases, shipments, and inventories; and finished product production quantities, inventories, and shipments needed to achieve maximum profit while fulfilling demand and minimizing profit variability and unsatisfied demand. This research presented a model to supply chain infrastructure design. In this research, a multi-period, multi objective mixed integer robust optimization formulation of the strategic model is presented to account for the probabilistic demand data. For this purpose, numerical examples are presented and solved by LINDO software.
Industrial Management Journal
University of Tehran
2008-5885
7
v.
1
no.
2015
83
105
https://imj.ut.ac.ir/article_50682_b8cd9e95e38eecbf3415cb651ea52157.pdf
dx.doi.org/10.22059/imj.2015.50682
Identifying and ranking the industry and technology considerations affecting transfer of high technologies at various Technology Readiness Levels (TRLs)
Esmaeel
Kalantari
MSc., Entrepreneurship- New Business, Faculty of Entrepreneurship, University of Tehran, Iran
author
Jahanshah
Charkhtab Moghadam
PhD Candidate, Strategic Management, Supreme National Defense University, Tehran, Iran
author
text
article
2015
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The current research aims to study the industrial and technological concerns within transfer process of high-tech regarding the technology readiness levels (TRLs). The importance of the subject is emphasized because different TRLs have special considerations and the risks of high-tech transfer can be reduced considering them. The main goal of this study is to identify and rank the industrial and technological concerns in transfer of high-tech at various levels of technology readiness. The study is applied-type and the data were collected using mixed method. Research findings show that 32 elements as seven aspects of industry and technology considerations influence the transfer of high-techs. The influence of these factors varies at various TRLs, such that as we move toward higher readiness levels (1 to 9), the influence of industry considerations is more than that of technology considerations. It is highly recommended for companies active in the field of high-techs transfer to take into account industry and technology considerations and their influences on different TRLs.
Industrial Management Journal
University of Tehran
2008-5885
7
v.
1
no.
2015
107
124
https://imj.ut.ac.ir/article_52895_41c3ee372b9aa4f4b0fc344f468b9d04.pdf
dx.doi.org/10.22059/imj.2015.52895
Locating shelters and telecom-relief centers considering uncertainty in the disaster time
(Case study: flood disaster in region #3 of Tehran)
Ahmad
Mohammadi
MSc. Student, Industrial Engineering, Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
author
Saied
Yaghoubi
Assistant Prof., Industrial Engineering, Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
author
Jamal
Nahofti Kohne
MSc. Student, Industrial Engineering, Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
author
Mirsaman
Pishvaie
Assistant Prof., Industrial Engineering, Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
author
text
article
2015
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The most important issues that should be considered in studying disaster management include temporary settlement of injured population, supplying relief commodities, designing an appropriate communication infrastructure for communication during disaster. For this purpose, in this paper a model has been proposed for locating shelters, warehouses of relief commodities, and also telecom towers, whereas warehouses of relief commodities and telecom towers have been considered as the telecom-relief center for reducing costs and improving services. The problem has been modeled as a nonlinear and bi-objective model, while for solving the problem normalization method and linearization approach have been applied. With respect to significance of unstable conditions and dynamic environment in natural disasters, the model has been considered under uncertainty and possibilistic programming approach is used to cope with this issue. The proposed model is implemented in the flood disaster case study of Tehran and the obtained results show that the optimal location of the facility can help the decision makers of disaster management in this area to increase service provision during disaster.
Industrial Management Journal
University of Tehran
2008-5885
7
v.
1
no.
2015
125
149
https://imj.ut.ac.ir/article_52515_dd29e058a25d96c51b2ac6ef910cfea1.pdf
dx.doi.org/10.22059/imj.2015.52515
Identifying and prioritizing measures for evaluating the performance of services supply chain
Mahmoodreza
Mostaghimi
Assistant Prof., Faculty of Literature and Human Sciences, University of Gilan, Rasht, Iran
author
Mohammadrahim
Ramezanian
Assistant Prof., Faculty of Literature and Human Sciences, University of Gilan, Rasht, Iran
author
Mohammad
Esmailzadeh
MSc. Student in Industrial Management, Faculty of Literature and Human Sciences, University of Gilan, Rasht, Iran
author
text
article
2015
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Compared to industrial companies, we have neither enough related literature nor available researches concerning the issue of evaluating the supply chain management as well as supply chain performance. Therefore, the current article aims to identify and prioritize measures of evaluating the performance of services supply chain. Thus, we first review the related text and define the processes of supply chain. Also, we explain the measures of evaluating the mentioned processes; finally, we sort the measures in accordance with Score and Seroquel models and we design the respected decision tree. The prepared questionnaires were distributed among the managers who are considered as the experts in service industries. Then, after gathering the completed questioners, we used fuzzy AHP for prioritizing and sorting the measures. The results show that the reliability indicator has the highest importance while intangibility has the least importance in supply chain services.
Industrial Management Journal
University of Tehran
2008-5885
7
v.
1
no.
2015
151
174
https://imj.ut.ac.ir/article_50683_bb6ed12010a9bf5dbdb5c6a4e260f751.pdf
dx.doi.org/10.22059/imj.2015.50683
Evaluating and ranking construction projects contractors using F-PROMETHEE (Case study: Mehr Housing Project of Hashtgerd New Town)
Mahdi
Nasrollahi
PhD Candidate, Operations Research Management, University of Tehran, Tehran, Iran
author
text
article
2015
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In this paper, a model for evaluating and ranking constructive projects will be presented. This model is based on six key criteria and a conceptual framework. These main evaluation criteria include: good history, equipment and machinery, management and technical staff, economic - financial skills and experience, and scientific and technical capabilities. These criteria and their weights were derived from previous studies. The vagueness of the linguistic terms in the evaluation process required employment of fuzzy numbers. Then, the fuzzy PROMETHEE method was used for ranking the projects. To test the model and as a case study, contractors of Mehr housing projects in Hashtgerd new Town were ranked. This model can be used for evaluating and ranking contractors for various construction projects.
Industrial Management Journal
University of Tehran
2008-5885
7
v.
1
no.
2015
175
188
https://imj.ut.ac.ir/article_53859_207258f688fc20b86474fefb5d291373.pdf
dx.doi.org/10.22059/imj.2015.53859
English Abstracts
text
article
2015
per
Industrial Management Journal
University of Tehran
2008-5885
7
v.
1
no.
2015
1
9
https://imj.ut.ac.ir/article_55455_975beddf2f739afe11a8586c8356f14c.pdf
dx.doi.org/10.22059/imj.2015.55455