Investigation of Industrial Rated Clusters in Iran and Other Selected Countries

All countries hope to achieve increasingly developments which grow fast. Nowadays many developed countries are using strategy of industrial clusters development because they influence the competitiveness of industrial clusters in the country as well as beyond national borders and show new ways of thinking about the place of dealing and earning. Industrial clusters influence competition through increasing of productivity based on settlement of companies and providing quick guidelines for development and innovation and encouraging of new business. Industrial cluster is one of new combined methods of various theories such as theory of economic geography, regional economics, national innovation system, transmitting knowledge theories, social capital theories and social networks .Recently this method in Iran attracted many attentions based on industries compatible with mentioned method which attempts to provide a better and competitive market place for the country, region and the world. This paper defines the expression clusters, its types, objectives and benefits and then provides two hypotheses .First hypothesis is that Government has a fundamental role in growth and development of the rated clusters and the other hypothesis is that the more old and strong relations between companies exists the better and stronger industrial clusters they will have .And then this paper investigates the situation of rated clusters in Iran and finally discusses policies of selected countries for development and growth of industrial clusters to be used if it is according to the situation of Iran. Key words: Industrial rated clusters; Small and Medium Industries (SME

The Explanation of the Role of Organizational Intelligence and Organizational Agility in the Formation of Goal Oriented Commitment

The main purpose of this study was the explanation of the role of organizational Intelligence and organizational agility in the formation of goal oriented commitment. The population was 311 employees of Social Security Hospital in Ardabil. We determined the amount of the sample size using Cochran sampling method when the statistical sample is 172 of these employees which have been selected through the simple random sampling method. To gathering of data, we used questionnaire with 40 items. In order to analyze the data resulted from collected questionnaires deductive and descriptive statistical methods are used. Also, we used Kolmogorov-Smirnov and Durbin Watson Tests to normality of test data.  And to test the hypothesis of the research we used Pearson Correlation and liner Multi-Regression. Findings show that organizational Intelligence and organizational agility have a positive relationship with goal oriented commitment at Social Security Hospital

Approximate Optimal Control of Volterra-Fredholm Integral Equations Based on Parametrization and Variational Iteration Method

This article presents appropriate hybrid methods to solve optimal control problems ruled by Volterra-Fredholm integral equations. The techniques are grounded on variational iteration together with a shooting method like procedure and parametrization methods to resolve optimal control problems ruled by Volterra - Fredholm integral equations. The resulting value shows that the proposed method is trustworthy and is able to provide analytic treatment that clarifies such equations and is usable for a large class of nonlinear optimal control problems governed by integral equations

A study on the role of transformational leadership in employee empowerment

The purpose of this study is to survey the role of the transformational leadership in employee empowerment in the Northern Khorasan University of Medical Sciences. For this purpose, 200 employees were selected as the statistical sample by using relative stratified sampling. To measure the variables under study, Multifactor Leadership Questionnaire and psychological empowerment standard questionnaire were used. The multiple regressions test was used to analyze the data. The results indicate that there is a positive significant correlation between transformational leadership and employee empowerment although there was not any significant relationship between some aspects of transformational leadership such as idealized influence, inspirational motivation and intellectual encouragement and empowerment. Furthermore, there is a weak significant positive correlation between the individual and employees empowering consideration. The results of this study emphasize the necessity of education and use of transformational leadership styles so that managers can empower their employees to the extent possible

A study on the role of transformational leadership in employee empowerment

The purpose of this study is to survey the role of the transformational leadership in employee empowerment in the Northern Khorasan University of Medical Sciences. For this purpose, 200 employees were selected as the statistical sample by using relative stratified sampling. To measure the variables under study, Multifactor Leadership Questionnaire and psychological empowerment standard questionnaire were used. The multiple regressions test was used to analyze the data. The results indicate that there is a positive significant correlation between transformational leadership and employee empowerment although there was not any significant relationship between some aspects of transformational leadership such as idealized influence, inspirational motivation and intellectual encouragement and empowerment. Furthermore, there is a weak significant positive correlation between the individual and employees empowering consideration. The results of this study emphasize the necessity of education and use of transformational leadership styles so that managers can empower their employees to the extent possible

Analysis of the Quality of Logistics Supply Chain Process Using Six Sigma Scale: A Case Study in One of the Teaching Hospitals in Kerman, 2014

Background: In the present competitive era, organizations need to use a suitable model such as supply chain management in order to earn and keep a suitable place in the national arena and gain competitive advantage. The aim of this study was to analyze the quality of logistics supply chain process in a teaching hospital of Kerman. Methods: This is a qualitative research, in which the phenomenological approach was used. Data were collected through semi-structured interviews with the personnel of the Procurement Unit who were selected purposively and a random review of 20 product request forms. Finally, data were analyzed using framework analysis, and the process quality was analyzed using the six sigma scale. Results: Errors identified in the supply chain included 9 main themes and 29 subthemes among which, inadequate monitoring of the accuracy of the product request forms, inattention to the point of ordering, purchase regardless of the quality, inappropriate archive, inappropriate selection of supplier, and non-compliance with standard time of purchase and delivery of goods were the main errors identified. The quality of supply chain process according to Six Sigma scale was moderate. Conclusion: Weakness in the information system of the procurement unit and lack of suitable relationship between this unit and other units of the hospital lead to incidence of errors in the supply chain process that can be significantly reduced through implementing an office automation system and electronic procurement system

Modeling of environmental aspects related to reverse osmosis desalination supply chain

open access journalBackground: This study aimed to model optimization of strategic environmental management decisions in the operation of reverse osmosis desalination, emphasizing the costs required for the environmental protection during the production of freshwater using reverse osmosis technology. Methods: This analytical research was conducted in five cities of Hormozgan province in Iran for 18 months from February 2018 to September 2019. The research includes eight phases of defining the research problem, data collection, preliminary data analysis and decision criteria, mathematical modeling, model validation, information preparation, analysis and finally discussion, conclusions and suggestions. The main environmental issues were the carbon dioxide (CO2) release rate due to power demand and rejected brine water (RBW) were entered the mathematical model. Results: The desalination plants of Abu Musa, Bandar Abbas, Qeshm, Sirik, and Hormoz with water production flow rate of 2100, 89 000, 5300, 3300 and 1500 m3/d can generate 2360.82, 100053.80, 5958.260, 3709.86 and 1686.30 tons/year of CO2 emissions respectively. This output requires 1.35, 57.47,3.42, 2.13 and 0.97 million USD for controlling the process, respectively. For reduction of the negative effect of RBW 0.75, 22.79, 1.78, 1.15 and 0.55 million USD respectively, is needed. Conclusion: Recommendations for environmental impacts protection of RBW, for desalination capacity up to 50 000 m3/d, are; (a) for desalination capacity up to 50 000 m3/d; dilution the RBW using raw water before entering into the sea, (b) for capacity of 50 000-100 000 m3/d; dispersing RBW in sea using diffuser, and (c) for capacity more than 100 000 m3/d; hybrid water desalination plants and power plant. Application of power plant cooling water to dilute RBW may reduce cost

A Combined Model for Noise Reduction of Lung Sound Signals Based on Empirical Mode Decomposition and Artificial Neural Network

Computer analysis of Lung Sound (LS) signals has been proposed in recent years as a tool to analyze the lungs' status but there have always been main challenges, including the contamination of LS with environmental noises, which come from different sources of unlike intensities. One of the common methods in noise reduction of LS signals is based on thresholding on Discrete Wavelet Transform (DWT) coefficients or Empirical Mode Decomposition (EMD) of the signal, however, in these methods, it is necessary to calculate the SNR value to determine the appropriate threshold for noise removal. To solve this problem, a combined model based on EMD and Artificial Neural Network (ANN) trained with different SNRs (0, 5, 10, 15, and 20dB) is proposed in this research. The model can denoise white and pink noises in the range of -2 to 20dB without thresholding or even estimating SNR, and at the same time, keep the main content of the LS signal well. The proposed method is also compared with the EMD-custom method, and the results obtained from the SNR, and fit criteria indicate the absolute superiority of the proposed method. For example, at SNR = 0dB, the combined method can improve the SNR by 9.41 and 8.23dB for white and pink noises, respectively, while the corresponding values are respectively 5.89 and 4.31dB for the EMD-Custom method