ORIGINAL_ARTICLE
Explaining the Approach of Traffic Modeling to Vehicle Routing Issues Based on the Paradigm of Green Transportation (Case Study: ZAMZAM Co)
The purpose of this paper is to explain the most appropriate approaches for traffic modeling in vehicle routing problem based on green transportation paradigm. There are four approaches in literature for modeling of traffic including: simple, discrete, continuous, and random. Based on the qualitative meta-analysis method, 67 sources of green transportation were examined descriptively (in terms of using the above-mentioned approaches based on descriptive statistics) and evaluating (assessing the strengths and weaknesses of the approaches), which resulted in It was better to use a continuous approach. Regarding the existence of different patterns of modeling in the continuous approach, in order to achieve the appropriate model, Zamzam's distribution network was used based on Tehran Pars sales data on 21 August 2016. The results showed that existing patterns were inappropriate and that a proper pattern for the Zamzam distribution network should be developed. The developed pattern consists of two indicators: 1) the definition of the virtual node; and 2) the calculation of the average speed, taking into account multiple traffic conditions. This pattern corrects the weaknesses of previous patterns based on continuous approach.
https://imj.ut.ac.ir/article_64581_8ec0b932165a13ca265b6e9e2566549b.pdf
2017-07-23
217
244
10.22059/imj.2017.228099.1007197
Green transportation
modeling
Traffic
Vehicle routing
Virtual node
Ezat
Asgharizadeh
asghari@ut.ac.ir
1
Associate Prof. in Industrial Management, University of Tehran, Tehran, Iran
LEAD_AUTHOR
Ahmad
Jafar Nejad
jafarnjd@ut.ac.ir
2
Prof. in Industrial Management, University of Tehran, Tehran, Iran
AUTHOR
Mostafa
Zandieh
m_zandieh@sbu.ac.ir
3
Associate Prof. in Industrial Management, University of Tehran, Tehran, Iran
AUTHOR
Sobhan
Jooybar
sobhan.jooybar@ut.ac.ir
4
Ph.D. Candidate in Management, University of Tehran, Tehran, Iran
AUTHOR
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ORIGINAL_ARTICLE
Performance Comparison of Genetic Algorithm Fitness Function in Customer Credit Scoring
a lot of studies have been done about customer credit scoring, considering importance of the topic on credit institutions decision making. As an evolutionary computation method, Genetic algorithm is one of the methods used in this field. A variety of papers are published on comparing the performance of genetic algorithms with other scoring method but there is little information regard to fitness functions while these fitness functions play a vital role in overall performance of the model. To further investigation of the problem, three different fitness functions are proposed in the current paper and their performance is compared with other scoring methods including logistic regression and data envelopment analysis. The obtained results have shown that genetic algorithms quadratic function totally outperformed other methods based on accuracy, detection and sensitivity criteria.
https://imj.ut.ac.ir/article_64582_043c9ea09aa272c255dec186a399f0e6.pdf
2017-07-23
245
264
10.22059/imj.2017.226860.1007191
Credit scoring
Data Envelopment Analysis
Evaluation methods
Fitness function
Genetic Algorithm
Logistic regression
Risk Management
Ali
Eghbali
alieghbali888@yahoo.com
1
M.A. in Industrial Management, Khatam University, Tehran, Iran
AUTHOR
Seyed Hossein
Razavi Hajiagha
h.razavi@khatam.ac.ir
2
Assistant Prof. of Management, Khatam University, Tehran, Iran
AUTHOR
Hannan
Amoozad
h.amoozad@ut.ac.ir
3
Assistant Prof. of Industrial Management, University of Tehran, Tehran, Iran
LEAD_AUTHOR
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41
ORIGINAL_ARTICLE
Modeling the Factors Influencing Commercialization of Academic Research Achievements: Mixed Method
(Case study: Engineering Faculties of State Universities in Tehran)
The aim of this study is to identify factors influencing the commercialization of academic research achievements and to design its Structural Model. The research is applied and the method is mixed. The population in qualitative is experts, and in quantitative is faculty of engineering colleges in state universities in Tehran. The sample size in qualitative is 55 (purposive sampling) and in quantitative is 334 (stratified random). To collect data, semi-structured interviews and questionnaires were used. To validate the qualitative section, the member check and peer check and to reliability, method of agreement between the two coders was used. To validate quantitative section, content and construct validity and Cronbach's alpha coefficient was used to determine the reliability of the questionnaire. The findings are a conceptual model and identify independent variables in four categories: individual factors, internal, external, and academic gatekeepers. Goodness of fit index (GFI) was 0.88 and root mean square residual latent variables model was RMSEA = 0.072. The results indicate that the commercialization in universities as well as internal factors, lower than average level.
https://imj.ut.ac.ir/article_64583_8d275ce8d565369e9afbb1f0eb711ba1.pdf
2017-07-23
265
286
10.22059/imj.2017.218663.1007135
Academic Research Achievements
commercialization
mixed method
Structural Equation Modeling
Amin
Pazhouhesh
pazhouhesh@mut.ac.ir
1
Assistant Prof. of Management, Faculty of Malek-Ashtar University of Technology, Shiraz, Iran
LEAD_AUTHOR
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53
ORIGINAL_ARTICLE
Optimization and Simulation (Monte Carlo) of the Impact of Productivity Shocks on GDP of Iran using the Advanced Algorithms Approach
In this paper, the impact of productivity shocks on GDP using advanced algorithm approach and the Monte Carlo simulation in the Iranian economy has been surveyed. After reviewing the theoretical and experimental studies, the variables of inflation, unemployment, potential production and productivity shocks are selected as the variables explaining the variable of gross domestic product. Using three algorithms of fireflies, cuckoo, and particle swarms optimization, the coefficients of each of the independent variables were estimated. After estimating the coefficients and given the uncertainty of the estimated coefficients by the advanced algorithms, Monte Carlo method was used to simulate the equations. Comparing the findings obtained from the simulation and findings of the estimation indicate the high accuracy of the findings obtained from estimates. Given the obtained findings, productivity shocks had very little impact on GDP and the potential production was introduced as the most influential variable.
https://imj.ut.ac.ir/article_64585_77f7903ec7e2251b2ccd75c6a1740c1b.pdf
2017-07-23
287
308
10.22059/imj.2017.240333.1007301
Advanced algorithm
GDP
Monte Carlo simulation
Optimization
Productivity shocks
Ramin
Jamshidi Dehnavi
jamshidi.ramin@yahoo.com
1
Ph.D. Candidate in Economy, Islamic Azad University, Kerman, Iran
AUTHOR
Mohsen
Zayandeh Roodi
jamshidi.ramin@gmail.com
2
Assistant Prof. of Economy, Islamic Azad University, Kerman, Iran
LEAD_AUTHOR
Sayed AbdolMajid
Jalaee
jalaee@uk.ac.ir
3
Prof. of Economy, Shahid Bahonar University, Kerman, Iran
AUTHOR
Ali
Raees Poor
raeispour@iauk.ac.ir
4
Assistant Prof. of Economy, Islamic Azad University, Kerman, Iran
AUTHOR
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35
ORIGINAL_ARTICLE
Analysis of Collaboration Network between University and Industry by Using Network Analysis Approach (Study: University of Hormozgan)
A nation’s progress and development depends on the production of knowledge by its educational centers and turning them into presentable products by the industrial units. To reach this point, a coherent connection between the scientific and industrial units in the country seems natural and inevitable. This research aims at scrutinizing the cooperation network between Hormozgan University and Industry. This study has an applied and practical nature and can be classified as a descriptive and survey-based research. The statistical population for the study includes Hormozgan University faculty members and managers of research centers in a number of Hormozgan organizations. In order to analyze this cooperative network, at first, two sets of questionnaires containing items for studying the network connections were designed. After completing the questionnaires, the data for each network was imported into Excel as a matrix and analyzed by using Visone and NetDraw applications and indexes such as the inner core angle, cutpoints and network densities were derived and computed for the networks. All in all, the cooperation and trust networks analysis indicated that the presented networks had a relatively low central density. The high points of isolation in two networks and the lower density of networks of trust compared to the cooperative networks indicate that the two parties have not been able to develop and establish a good level of satisfaction and trust in the intended cooperative paths and, consequently, it can be maintained that there is an almost weak level of communication and trust between Hormozgan University and business environments (i.e., industry) in these networks.
https://imj.ut.ac.ir/article_64586_b3d36407d1b42e76c779755de2ac2651.pdf
2017-07-23
309
328
10.22059/imj.2017.239529.1007287
Industry
network
Social network analysis
Trust network
University
Zahra
Saadatnia
zr.saadatnia@gmail.com
1
MSc. Student, Faculty of Management & Accounting, University of Hormozgan, Bandar-Abbas, Iran
AUTHOR
Tayebeh
Abbasnejad
t.abbasnejad@yahoo.com
2
Assistant Prof. of Industrial Management, University of Hormozgan, Bandar Abbas, Iran
LEAD_AUTHOR
Hannaneh
Mohammadi Kangarani
kangarani@ut.ac.ir
3
Associate Prof. of Agriculture & Natural Resources, University of Hormozgan, Bandar Abbas, Iran
AUTHOR
اسماعیلی، م.، یمنی دوزی سرخابی، م.، حاجی حسینی، ح.، کیامنش، ع. (1390). وضعیت ارتباط دانشکدههای فنی ـ مهندسی دانشگاههای دولتی تهران با صنعت در چارچوب نظام ملی نوآوری. فصلنامۀ پژوهش و برنامهریزیدر آموزش عالی، 17(1)، 46- 27.
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گلمحمدزاده، آ. (1392). تبیین اثر توسعۀ ارتباط صنعت و دانشگاه بر افزایش کارآفرینی در تهران (مطالعۀ موردی: پارک علم و فناوری دانشگاه تهران). پایاننامۀ کارشناسی ارشد مدیریت اجرایی، دانشگاه پیام نور تهران.
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12
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محمدی کنگرانی، ح. (1390). تحلیل شبکهای؛ روشی جدید برای حل مسائل مدیریتی و سیاستی در راستای توسعۀ صنعتی. توسعۀ تکنولوژی صنعتی، 8(14)، 34-23.
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محمدی کنگرانی، ح.، حلیساز، ا.، معینی، ع. (1392). بررسی شبکۀ همکاری میان نهادهای دولتی و مردمی رسمی در اجرای پروژههای آبخیزداری و نقش آن در کاهش فرسایش خاک (مطالعۀ موردی: دهستان برنطین، استان هرمزگان). پژوهشهای فرسایش محیطی، 3(1)، 58-45.
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محمدی کنگرانی، ح.، شامخی، ت.، حسینزاده، م. (1390). بررسی و تحلیل شبکۀ روابط رسمی و غیررسمی میان سازمانی با استفاده از رویکرد تحلیل شبکهای (مطالعۀ موردی: استان کهگیلویه و بویراحمد). مدیریت دولتی، 3(6)، 164-149.
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18
منطقۀ ویژۀ اقتصادی صنایع معدنی و فلزی خلیج فارس، قابل دسترس در آدرس زیر: www.pgsez.ir/Modules/CMS/News
19
موسوی، ع.، شفیعی، م. (1392). تحلیل محتوای موانع، فرصتها و راهکارهای توسعۀ ارتباط صنعت و دانشگاه در پانزده کنگرۀ سهجانبه. نوآوری و ارزشآفرینی، 1(3)، 20-5.
20
میگون پوری، م. ر.، احمدی، ب. (1391) . شناسایی عوامل اثرگذار بر انتخاب راهبردهای تجاریسازی تحقیقات دانشگاهی در حوزه صنعت پتروشیمی، توسعه کارآفرینی، 5(2)، 46-27.
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22
نریمانی، ا.ر.، الوانی، م. (1393). پنجرۀ جوهری: الگوی ارتباط بین صنعت و دانشگاه، نشریۀ نشاء علم، 4(2) ، 143-138.
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24
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65
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66
ORIGINAL_ARTICLE
Application of Data Mining in Identifying the Accidental Points along the Road of Haraz
Passenger safety is one of the basic principles of traffic engineering and transportation planning, so that in developed countries, along with the development of other traffic engineering sections, attention is being paid and, by conducting studies and analyzes, attempts are made to crash and resultant consequences Minimize it. The present research studies the application of data mining in identifying incident points. The study area is 15 km from the Haraz road. The collected data from the police information technology unit of Navarra was analyzed using SPSS Modeler software using data mining method. The results show that the three points of the Goznak, the Wana and Shanglunn tunnels are part of the accidental areas in this area. In order to reduce accidents in this axis, it is suggested that the geometric modification of the accidental points, as well as the dual-tracking of the road and the consideration of lightning, be put on the agenda of the relevant organizations.
https://imj.ut.ac.ir/article_64587_b10b1d54111db43e9e52c2d0b2f31a7f.pdf
2017-07-23
329
352
10.22059/imj.2017.244656.1007335
Accidental points
Clustering
Crisp framework
Data Mining
Haraz road
Yaser
Seif
yaser.seif66@gmail.com
1
MSc. Student of IT Management, Farabi Campus, University of Tehran, Qom, Iran
LEAD_AUTHOR
Shahrokh
Asadi
m.abasi@ut.ac.ir
2
Associate Prof. of Engineering, Farabi Campus, University of Tehran, Qom, Iran
AUTHOR
Mohamadreza
Mohamadzamani
yaser.seif@gmail.com
3
MSc. Student of IT Management, Farabi Campus, University of Tehran, Qom, Iran
AUTHOR
ابوالقاسمی ماهانی، ح.، آقابزرگی، س.، ابوالقاسمی ماهانی، ه. (۱۳۹۳). بررسی رویکردهای نهادهای بینالمللی در شناسایی عوامل مؤثر در تصادفات و مدیریت ایمنی جادهها. سومین کنفرانس ملی تصادفات جادهای، سوانح ریلی و هوایی، زنجان، دانشگاه آزاد اسلامی واحد زنجان.
1
ایزکیان، ز.، عامریان، ی.، مسگری، م. (1394). ارائۀ یک روش خوشهبندی سریهای زمانی بر مبنای الگوریتم تکاملی دیفرانسیلی و تبدیل کسینوسی گسسته. فصلنامۀ علوم و فنون نقشهبرداری، 5 (4)، 209- 199.
2
آیتی، ا.، قدیریان، ف.، احدی، م. (1387). محاسبۀ هزینههای آسیب به وسایل نقلیه در تصادفات جادهای ایران در سال 1383. پژوهشنامه حمل و نقل، 5 (1)، 13- 1.
3
بهبهانی، ح.، اسدی کیا، ه. (1390). ارزیابی راهکارهای موجود در سیستمهای حمل و نقل هوشمند (ITS) از لحاظ ارتقای سطح ایمنی ترافیک ، دهمین کنفرانس مهندسی حمل و نقل و ترافیک ایران، سازمان حمل و نقل و ترافیک تهران، معاونت حمل و نقل و ترافیک شهرداری تهران.
4
پاک گوهر، ع.، خلیلی، م.، صفارزاده، م. (1389). بررسی علل و عوامل مؤثر در کاهش تصادفات جادهای ایران با استفاده از مدلهای رگرسیونی LR، CRT و GLM. فصلنامۀ دانش اقتصادی، 12(1)، 106- 77.
5
جعفری اسکندری، م.، مظفری، ع. (1394). خوشهبندی و پیشبینی تصادفهای جادهای. فصلنامۀ علمی ترویجی راهور، 12 (29)، 78- 63.
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جمالی، غ. (1393). شناسایی و رتبهبندی عوامل مؤثر برتصادفات جادهای استان بوشهر. فصلنامۀ مطالعات پژوهشی، (10)، 101- 79.
7
جوادیان کوتنایی، ر.، غلامی منفرد، ب.، بتی، ل.، قانعی اردکانی، م. (۱۳۹۰). استفاده از شبکههای بیزین بهعنوان روشی برای تعیین اولویتبندی کاهش سهم عوامل مؤثر در تصادفات جادهای، کنفرانس فناوری اطلاعات و جهاد اقتصادی، کازرون، مجتمع آموزش عالی کازرون.
8
خادمی، ف. (1392). بررسی مهمترین عوامل مؤثر بر تصادفات جادهای. هفتمین کنگرۀ ملی مهندسی عمران، دانشکدۀ مهندسی شهید نیک بخت، زاهدان، دانشگاه زاهدان.
9
خیرآبادی، ق.، بوالهری، ج. (1390). نقش عوامل انسانی در تصادفات جادهای. فصلنامۀ علوم رفتاری، 10 (1)، 78- 69.
10
رحیمی، ش.، آیتی، ا.، دوستپرست، م. (۱۳۹۴). شناسایی عوامل مؤثر بر ایمنی ترافیک در محل تونلها با استفاده از الگوهای رگرسیونی، پانزدهمین کنفرانس بینالمللی مهندسی حمل و نقل و ترافیک، تهران، معاونت و سازمان حمل و نقل ترافیک.
11
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47
ORIGINAL_ARTICLE
A Fuzzy Expert System for Diagnosis of Epilepsy Diseases Using the Situational Logic and ACH Modeling in the Creation of Knowledge Base
Nowadays expert systems are used as one of the most useful and most practical decision support systems. These systems are relying on knowledge of experts in certain domain combines valuable experience with speed and accuracy of computer and improve the quality of their judgments. One of the most extensive applications of these systems is medical diagnostic fields. Different from what happened in most prior researches in the development of expert systems, in the present study using the situational logic in the process of knowledge acquisition and fuzzy inference engine architecture approach is recommended. Identify the type of epilepsy has always been one of the most challenging deliberations among the neurologist doctors and strict distinction between the types of the disease, according to the closely signs Creates conflict among the field's doctors that the expert system is able to solve this problem with the accuracy of 83 percent. Forming a comprehensive knowledge base using analysis of competing hypotheses (ACH) modeling in order to distinguish between 14 types of epilepsy disease is the distinctive features of this study. Research done on the project can be used to diagnose other diseases that have similar symptoms closely and to be pragmatic. The proposed system can be used in situations where access to neurologist doctors is impossible can be very useful.
https://imj.ut.ac.ir/article_64588_a7534d69e85734eae22425b3b15fdf64.pdf
2017-07-23
353
382
10.22059/imj.2017.234113.1007241
Diagnosis
Expert system
Fuzzy inference
Knowledge base
Situational logic
Ali
Amooji
dr.ali.amooji@gmail.com
1
Ph.D in Computer Engineering and Information System, Payame Noor University, Tehran, Iran
LEAD_AUTHOR
Abdolhamid
Fetanat
abfetanat@gmail.com
2
Department of computer, faculty of electric and computer engineering, Azad Islam University Mahshahr branch, Mahshahr, Iran
AUTHOR
خرمیان طوسی، س.، زینعلی، ب. (1393). طراحی یک سیستم تصمیمگیرنده جهت درمان پوسیدگی دندان در کودکان. مجلۀ راهبردهای توسعه در آموزش پزشکی، 1(1)، 44-37.
1
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2
صادقی مقدم، م.، صفری، ح.، احمدی نوذری، م. (1394). اندازهگیری پایداری زنجیرۀ تأمین خدمات با استفاده از سیستم استنتاج فازی چند مرحلهای/ چند بخشی (مطالعۀ موردی: بانک پارسیان). نشریۀ مدیریت صنعتی، 7(3)، 562 – 533.
3
طلوعی اشلقی، ع.، محسن طاهری، س. (۱۳۸۹). طراحی یک سیستم خبرۀ برای تشخیص و پیشنهاد در مورد شیوۀ درمان سرطان خون. فصلنامۀ مدیریت سلامت. ۱۳(۴۰)، 50-41.
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7
Amooji, A.(2015). Analytical comparsion of methematical modelling in the diagnostic expert systems. International Journal of Computer Applications Technology and Research, 12(4), 933-935.
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37
ORIGINAL_ARTICLE
A developed model and heuristic algorithm for inventory routing problem in a cold chain with pharmaceutical products
Inventory routing problem considers inventory allocation and routing problems simultaneously, in which the replenishment policies and routing arrangement are determined by the supplier under the vendor managed inventory mode. In this paper we study deterministic inventory routing problem in a pharmaceutical supply chain with a distributor and multiple geographically dispersed retailers. Two types of products are considered, first refrigerated which need temperature-controlled vehicles to be delivered and second non-refrigerated. Therefor our problem is defined in a cold chain which is a temperature-controlled supply chain. Vehicles capacity and holding capacity of retailers is consist of refrigerated and non-refrigerated parts. We propose a mixed integer linear programming (MILP) model. The objective is to minimize the sum of transportation and inventory costs. We also propose an adaptive large neighborhood search heuristic to solve the problem. In the initialization phase of the algorithm, a two phase heuristic algorithm is proposed. We used standard data sets to demonstrate the performance of the proposed algorithm.
https://imj.ut.ac.ir/article_64592_cadde68714725f33555f82578ffffc9a.pdf
2017-07-23
383
407
10.22059/imj.2017.127742.1006884
inventory routing
pharmaceutical products
cold chain
ALNS
heuristic
Parizad
Vakili
p_vakili@ind.iust.ac.ir
1
MA Student in Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
AUTHOR
Seyyed-Mahdi
Hosseini-Motlagh
motlagh@iust.ac.ir
2
Assistant Prof., Iran University of Science and Technology, Tehran, Iran
LEAD_AUTHOR
MohammadReza
Gholamian
gholamian@iust.ac.ir
3
Assistant Prof., Iran University of Science and Technology, Tehran, Iran
AUTHOR
Abbas
Jokar
abbas_jokar@ind.iust.ac.ir
4
PhD Candidate of Economic and Social Systems, Iran University of Science and Technology, Tehran, Iran
AUTHOR
رضوی، م.، سوخکیان، م.ع.، زیارتی، ک. (1390). ارائۀ الگوریتم فراابتکاری مبتنی بر سیستم کلونی مورچگان برای مسئلۀ مکانیابی مسیریابی با چندین انبار و فرض تخصیص چندین مسیر به هر وسیلۀ نقلیه. نشریۀ مدیریت صنعتی، 3 (6)، 38-17. محمدی زنجیرانی، د.، اسعدی آقاجری، م. (1388). طراحی الگوی ریاضی مسیریابی موجودیها در زنجیرۀ تأمین با بررسی موردی در شرکت دونا خزر. نشریۀ مدیریت صنعتی، 1(3)، 136-119.
1
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7
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