eng
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Applied Research on Industrial Engineering
2538-5100
2676-6167
2017-09-01
4
1
1
7
10.22105/jarie.2017.48858
48858
Shortest Path Problem in Network with Type-2 Triangular Fuzzy Arc Length
Ranjan Kumar
2013rsma024@nitjsr.ac.in
1
Sripati Jha
sjha.math@nitjsr.ac.in
2
Ramayan Singh
rsingh.math@nitjsr.ac.in
3
Department of Mathematics, National Institute of Technology Jamshedpur, Jharkhand 831014,India
Department of Mathematics, National Institute of Technology Jamshedpur, Jharkhand 831014,India
Department of Mathematics, National Institute of Technology Jamshedpur, Jharkhand 831014,India
In traditional shortest path problem it is always determined that the parameters (Time, Cost and Distance etc.) are fixed between different nodes. But in real life situations where uncertain parameters exist, parameters are considered as fuzzy numbers. In this paper, we explained the application scope of the given fuzzy ranking function. Using this method we can determine both the fuzzy shortest path and fuzzy shortest Distance from origin to Destination.
https://www.journal-aprie.com/article_48858_448e87a828cd33e0d1c917225832e611.pdf
Type –2 triangular fuzzy number
fuzzy shortest path
ranking function
eng
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Applied Research on Industrial Engineering
2538-5100
2676-6167
2017-09-01
4
1
8
23
10.22105/jarie.2017.48258
48258
An Integrated Fuzzy AHP and Fuzzy TOPSIS Approach for Ranking and Selecting the Chief Inspectors Of Bank: A Case Study
Ayda Esmaili Dooki
esmaili.ayda@yahoo.com
1
Parisa Bolhasani
parisa.4683@gmail.com
2
Mohammad Fallah
mohammad.fallah43@yahoo.com
3
Department of Industrial Engineering, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran.
Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University,Tehran, Iran
Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
Nowadays selecting the best inspectors has triggered a substantially significant issue among today’s competitive environment, in particular some prominent banks. It’s because the efficient supervision of banking activities is necessary for both achieving a powerful economic environment and financial stability of the country, Chief inspectors as highest position of the banks play an important role. Additionally, the bank inspectors are in charge of supervising bank activities to ensure that there is sufficient capital and reserves to deal with risks when they encounter to critical situations. On the other hand, although the banking supervision costs is really high, but the poor monitoring can bring about higher costs. So, this paper presents a hybrid method of fuzzy AHP and Fuzzy TOPSIS to select the best chief inspector of banks based on some various qualitative and quantitative criteria with different priorities. The Fuzzy AHP and TOPSIS methods are used to determine the weight importance of criteria and ranking the selected inspectors, respectively. The proposed method was applied to a real case study on one of the most prominent Banks of Iran country and the obtained results show that our proposed method is so practical to make the best decision of selecting the bank chief inspectors.
https://www.journal-aprie.com/article_48258_0420df3375e494cd27338cb90ec6edfa.pdf
Ranking and Selecting
fuzzy AHP
Fuzzy TOPSIS
bank chief inspectors
eng
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Applied Research on Industrial Engineering
2538-5100
2676-6167
2017-09-01
4
1
24
38
10.22105/jarie.2017.49602
49602
A Generalized Model for Fuzzy Linear Programs with Trapezoidal Fuzzy Numbers
Seyed Hadi Nasseri
nhadi57@gmail.com
1
Hadi Zavieh
hadi.zavieh@yahoo.com
2
Seyedeh Maedeh Mirmohseni
maedeh.mirmohseni@yahoo.com
3
Department of Operations Research, Faculty of Mathematical Sciences, University of Mazandaran
Department of Mathematics, University of Mazandaran, Babolsar, Iran
School of Mathematics and Information Science, Guangzhou University, Guangzhou, China.
In this paper, we generalize a linear programming problem with symmetric trapezoidal fuzzy number which is introduced by Ganesan and et al. in [3] to a general kind of trapezoidal fuzzy number. In this way, we first establish a new arithmetic operation for multiplication of two trapezoidal fuzzy numbers. Then in order to preparing a method for solving the fuzzy linear programming as well as the primal simplex algorithm, we use a general linear ranking function as a convenient approach in the literature. In fact, our main contribution in this work is based on 3 items: 1) Extending the current fuzzy linear program to a general kind which is not essentially including the symmetric trapezoidal fuzzy numbers , 2) Defining a new multiplication role of two trapezoidal fuzzy numbers, 3) Establishing a fuzzy primal simplex algorithm for solving the generalized model. We in particular emphasize that this study can be used for establishing fuzzy dual simplex algorithm, fuzzy primal-dual simplex algorithm, fuzzy multi objective linear programming and the other similar methods which are appeared in the literature.
https://www.journal-aprie.com/article_49602_75b7fc1e31498772f2e35fa1058eef5f.pdf
Fuzzy linear programming
Fuzzy arithmetic
fuzzy ordering
fuzzy primal simplex algorithm
eng
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Applied Research on Industrial Engineering
2538-5100
2676-6167
2017-09-01
4
1
39
48
10.22105/jarie.2017.48939
48939
A Hybrid Approach Using Fuzzy Multi-Criteria Techniques to Evaluate the Performance of In-Service Training Courses (Case Study: Mazandaran and Golestan Regional Electricity Company)
Abdol Hamid Safaei
ab.safaei@umz.ac.ir
1
Faezeh Homayounzadeh
faezeh.homayounzadeh@gmail.com
2
Faculty of Economics and Administrative Sciences, University of Mazandaran, Babolsar, Mazandaran, Iran
Faculty of Management, Khazar University, Mahmood Abad, Iran
Due to the increased attention to training and improving the training level, its evaluation requires special procedures. In this paper, a novel approach is proposed to evaluate the performance of training courses using different evaluation and rating techniques. In order to identify the criteria affecting the assessment, the Delphi hourly method is used. To determine the severity of impact and the importance of model elements, the revised method proposed by Dalalah et al was used in FDEMATEL. Using the FVIKOR technique, the in-service training courses held in Mazandaran and Golestan Regional Electricity Company were prioritized. The findings of this study indicate the high importance of universality of training materials compared to other model criteria. They also suggest that setting a short-term in-service training course yields the best training performance.
https://www.journal-aprie.com/article_48939_0cf8b6745e6c2b6130bc82e708a2cac0.pdf
Performance Evaluation
Training Courses
FDEMATEL
Fuzzy set
FVIKOR
eng
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Applied Research on Industrial Engineering
2538-5100
2676-6167
2017-09-01
4
1
49
58
10.22105/jarie.2017.94124.1016
50095
Determine the Priority of Industrial Investment in Conditions of Risk and Uncertainty: The Case Study Mazandaran Province
Seyed Fakhreddin Fakhrehosseini
f_fkm21@yahoo.com
1
Meysam Kaviani
meysamkaviani@gmail.com
2
Department of Business Management, Tonekabon Branch, Islamic Azad University, Iran
Department of Management, Aliabad katoul branch, Islamic Azad University, Iran
The expansion of production and development in the industrial sector is due to increase the investment on the activity of this sector. On one hand limits of the financial resources to the investment and high risk of investments in industrial and production activities, and by the other hand, the frequency of necessities and goals is inevitable to planning and priorities of investment. This study wants to provide optimize pattern by attention to the condition of risk and uncertainty and fluctuations in supply and demand market of industry, to determine priorities and economics feasibility to the investment in this sector. This study will examine its purpose in three scenarios (optimistic, pessimistic and uncertain market). The model used in this study is a fuzzy multi-criteria decision method. This research has been made for Mazandaran Province from 2005 to 2010. The results of this research involve the investment criteria and specify the priority of these sectors. The final results of this study indicate that in conductions of uncertainty and volatility of market, the current pattern of investment in the industrial sector was not optimal and needs to be adjusted in the percentages and amounts of investment.
https://www.journal-aprie.com/article_50095_7bc868bca151d4fb3ae0ec40573a8835.pdf
Investment Industry
interval TOPSIS
Mazandaran
eng
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Applied Research on Industrial Engineering
2538-5100
2676-6167
2017-09-01
4
1
59
66
10.22105/jarie.2017.49601
49601
Assessment of Robustness Index and Progressive Collapse in the RC Frame with Shear Wall Structure under Blast Loading
Hadi Faghihmaleki
h.faghihmaleki@gmail.com
1
Department of Civil Engineering, Babol Noshirvani University of Technology, Babol, Mazandaran, Iran.
If in the event of a critical incident, by eliminating a structural element, a comprehensive damage occurs, such a phenomenon is called progressive collapse. At the moment of explosion, redistribute the carried load by members of damaged structural element or the adjacent members may Lead to excessive tension or exceed the load capacity of the other members of that damage is the result of diffusion. To study the phenomenon of progressive collapse and structural robustness index under blast loading, four types of structures with RC moment frame with shear walls in four, seven, twelve, and fourteen story level, which all of them have the same plan, have been considered. In the above-mentioned buildings, Some structural elements have been removed and the impact of these scenarios on the dynamic behavior of structures during the explosion has been examined. In this study, the potential and capacity structures against the progressive collapse and the failure modes using local dynamic analysis of the explosion has been determined. Also, robustness structural Index has been evaluated. So the analysis to find the most likely failure mode for development improvement purposes, it is possible that could result in structures with higher reliability in a seismic zone.
https://www.journal-aprie.com/article_49601_ab68a71cd62a0559f7c5f99c4b2f8675.pdf
Robustness Index
Progressive collapse
the RC moment frame with shear wall
explosion
local dynamic analysis of explosion
eng
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Applied Research on Industrial Engineering
2538-5100
2676-6167
2017-09-01
4
1
67
74
10.22105/jarie.2017.48291
48291
Optimal Number of Failures in Type II Censoring for Rayleigh Distribution
Elham Basiri
elham_basiri2000@yahoo.com
1
Department of Statistics, Kosar University of Bojnord, Bojnord, Iran.
Recently, Rayleigh distribution has received considerable attention in the statistical literature. This paper describes the Bayesian prediction of the one parameter Rayleigh distribution when the data are Type II censored data. Suppose we are planning to collect a Type II censored sample from the one parameter Rayleigh distribution in order to find a point predictor for a future order statistic with smallest mean squared prediction error (MSPE) among other point predictors. Although, considering large values for failure numbers yields a point predictor with smaller MSPE, the average cost may increase considerably. One question arises here that “How many failure is enough?”. The aim of this paper is finding the optimal value for number of failures in Type II censoring by considering two criteria, total cost of experiment and mean squared prediction error. Towards this end, we find the Bayesian point predictor for the parameter of distribution. Then, the optimal value for number of failures is obtained when the mean squared prediction error and the total cost of experiment are bounded. To show the usefulness of the obtained results, a simulation study is presented.
https://www.journal-aprie.com/article_48291_f1232441ad92ed47d146a7e3642ccae8.pdf
type II censoring
Rayleigh distribution
Bayesian point predictor
Cost Function