Journal of Applied Research on Industrial Engineering
Volume:4 Issue: 1, Summer 2017

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.

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.

In this paper, we generalize a linear programming problem with symmetric trapezoidal ýfuzzy 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 þarithmetic operation for multiplication of two þtrapezoidal fuzzy numbers. Then in order to ýpreparing a method for solving the fuzzy linear programming as well as the primal simplex ýalgorithm, 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 numberýs ýþ,þ 2) Defining a new multiplication role of two trapezoidal fuzzy numberýsý, 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.

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.

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.

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.

Recently, Rayleigh distribution has received considerable attention in the statistical literature. This paper describes the Bayesian prediction of the ýone parameter Rayleigh ýýdistribution when the data are Type II censored data. Suppose we are planning to collect a Type II censored sample from the ýone 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.