The recent development of world is being adversely affected by the scarcity of power and energy. To survive in the next generation, it is thus necessary to explore the non-conventional energy sources and efficiently consume the available sources. For efficient exploitation of the existing energy sources, a great scope lies in the use of Rankin cycle-based thermal power plants. Today, the gross efficiency of Rankin cycle-based thermal power plants is less than 28% which has been increased up to 40% with reheating and regenerative cycles. But, it can be further improved up to 47% by using supercritical power plant technology. Supercritical power plants use supercritical boilers which are able to withstand a very high temperature (650-720?C) and pressure (22.1 MPa) while producing superheated steam. The thermal efficiency of a supercritical boiler greatly depends on the material of its different components. The supercritical boiler material should possess high creep rupture strength, high thermal conductivity, low thermal expansion, high specific heat and very high temperature withstandability. This paper considers a list of seven supercritical boiler materials whose performance is evaluated based on seven pivotal criteria. Given the intricacy and difficulty of this supercritical boiler material selection problem having interactions and interdependencies between different criteria, this paper applies fuzzy analytic network process to select the most appropriate material for a supercritical boiler. Rene 41 is the best supercritical boiler material, whereas, Haynes 230 is the worst preferred choice.

Chaos management is one of the most necessary efforts on managing business units. Many organizations fail to cope with undesirable circumstances, which may happen without any prior notice and as a result, they may face with significant financial losses. In this paper, we present an empirical study to determine critical success factors, which could help handle any possible chaos in organizations. The proposed study of this paper is implemented for a set of travel agencies located in Tehran, Iran. Chronbach alpha is calculated as 0.821, which is well above the minimum desirable level. In addition, we have also performed factor analysis, which yields a KMO value of 0.576 with the level of significance of 0.000. The results indicate that there are six important factors including effective management strategy, internal environmental factors, creative and innovative attitudes, external environmental factors and top level management thoughts.

One of the most important concerns in privatization of governmental banks is to see whether there is any change on the performance of the privatized banks or not. The proposed study of this paper performs an empirical investigation on some privatized banks. In our study, we measure two well-known financial figures including return on assets and return on equity two years before and after privatization program. The proposed study uses non-parametric analysis to perform the investigation. The results indicate that there is a meaningful difference between the performance of these banks before and after privatization.

Performance evaluation is one of manager & apos; s main concerns in today competitive world, which covers all aspects and dimensions of organization and it is adequately flexible and measurable. So, the necessity of performance evaluation application for organizations where their intangible assets are higher than tangible ones, such as educational institutions, is more obviously observed. Balanced scorecard (BSC) is discussed by the aim of promoting manager & apos; s decision making and directing their attention toward extensive operational vision of organization compared to traditional measurement systems, which only include the financial measures. However, BSC is a qualitative approach and has some disadvantages and its integration by other quantitative techniques such as data envelopment analysis makes it more efficient. The proposed model of this paper uses DEMATEL technique as part of BSC-DEA model to empower strategic planning. The proposed model of this paper is applied for 10 zone university branches of Islamic Azad universities to provide an appropriate road map.

One of the primary concerns in development of oil and gas resources is to find the critical success factors associated with different important projects. Purchasing and procurement plays a key role in these projects. There is no doubt that in history of similar studies, there are not much studies to determine key factors. The proposed study of this paper presents an empirical study to find these factors in one of the most important gas filed in Iran is now South Pars Gas Field. The study distributes a questionnaire consists of various questions associated with purchasing activities. We investigate the feedbacks gathered from decision makers using factor analysis. The results of our survey reveal that there are three categories of organizational strategy, the relative importance of strategy and risk according to factor analysis. Each factor consists of many other factors and the relative importance of all factors are investigated.

The fuzzy object oriented database model is often used to handle the existing imprecise and complicated objects for many real-world applications. The main focus of this paper is on fuzzy queries and tries to analyze a complicated and complex query to get more meaningful and closer responses. The method permits the user to provide the possibility of allocating the weight to various parts of the query, which makes it easier to follow better goals and return the target objects.

This paper presents findings from a study examining organizational design features used by organizations in pursuing their sustainable supply chain objectives. The research purpose was to gain a better understanding of the organizational design features that firms currently use or may use in the future. The results should encourage organizations to address design issues as they relate to overall supply chain effectiveness. The ever-increasing influences of the wider perspectives such as the pursuit of sustainability drive for industry consolidation/ rationalization and the need for responding to changing customer preferences may mean the conventional wisdom of organizing for success is increasingly becoming grossly inadequate, if not obsolete. There are numerous reasons why companies start to rethink about organizational design, organizational structure and its performance to attain a supply chain sustainability journey. Primary among them is to ensure compliance with laws and regulations and to adhere to and support international principles for sustainable business conduct. In addition, companies are increasingly taking actions that result in better social, economic and environmental impacts because society expects this and because there are business benefits to doing so. Given the dynamics of the current competitive global supply landscape, organizational design concerns are critical to sustained organizational success.

Measuring organization performance plays an important role for developing better strategic plans. In today & apos; s competitive environment, organizations attempt for the product quality or offering the service, delivery, reliability capability and the customer satisfaction. These properties are not measurable only by traditional financial criteria and we need a method, which could consider non-financial factors as well. The present study of this paper proposed a hybrid of balanced score card (BSC) and data envelopment analysis (DEA) method for an empirical study of banking sector. The study proposes a model for assessing the Tose`eTa`avon bank performance, which is an example of governmental credit and financial services institutes. The study determines different important factors associated with each four components of BSC and uses analytical hierarchy process to rank the measures. In each part of BSC implementation, we use DEA for ranking different units of bank and efficient and inefficient units are determined.

The dependence of various stock markets plays a vital role in diversification while selecting securities in an investor’s portfolio. This study examines interdependence among the East Asian stock markets in relation to the Karachi Stock Exchange. Monthly data ranging from 2000 to 2010 is included and tested in this paper. This relationship is tested by using descriptive statistics and correlation matrix. Data stationarity is ensured by Unit Root Test. Evidence from Granger Causality and Impulse Response Test prove no relationship between KSE and stock markets of the East Asian countries while there exists certain level of unidirectional relationship from Japan to China and from Japan to Pakistan.

The present paper applies Principal Component Analysis (PCA) for grouping of machines and parts so that the part families could be processed in the cells formed by those associated machines. An incidence matrix with binary entries has been chosen to apply this methodology. After performing the eigenanalysis of the principal component and observing the component loading plot of the principal components, the machine groups and part families are identified and arranged to form machine-part cells. Later, the same methodology is extended and it is applied to nine other machine-part matrices collected from literature for the validation of the proposed methodology. The goodness of cell formation is compared using the grouping efficacy and the potential of eigenanalysis in cell formation is established over the best available results using the various established methodologies. The result shows that in 70% of the problems there is an increase in grouping efficacy and in 30% problem, the performance measure of cell formation is as good as the best result from literature.