Journal of Operational Research in its Applications
Year:2013 | Volume:10 | Issue:1 (36)|Papers Count:9

Lack of attention to cognition of the factors affecting the process reengineering implementation will causes the reengineering projects failure, time and money waste. Therefore it is necessary to identify and prioritize the organization readiness factors to implement processes reengineering in order to improve the situation and create appropriate infrastructure for reengineering projects implementation. The purpose of this study is to identify and prioritize the factors affecting the organization readiness to implement processes reengineering using fuzzy DEMATEL and F-GANP combined method. To this end, the factors affecting the organization readiness divided into 7mainand 17sub-factors and their importance was calculated by fuzzy DEMATEL and Fuzzy Group ANP combined method. The research results showed that factors related to top management, and changes in management systems have the greatest importance for reengineering implementation in Iranian companies and it is imperative for companies to pay more attention to these factors before attempting to implement of process reengineering.

According to the importance of universities in the development of countries, assessing the performance of departments in universities is very important. Regarding the importance of this article, data envelopment analysis (DEA) is used to evaluate the efficiency of university departments by four aspects including educational quantity, educational quality, research and scientific activities. In fact, by designing scenarios, reasons and main sources of efficiency and inefficiency of each decision unit, the degree of impact is analyzed and evaluated. Then, using one of the strategic management tools, the SWOT, strengths, weaknesses, opportunities and threats of university are investigated, and by that strategies and ways to improve the performance of work groups is presented. Finally, the impact of extracted strategies from SWOT has been studied using structural equations. Research findings show that combining the two models, not only reduces the disadvantages of both DEA and the SWOT model, but also improves their advantages and results in a comprehensive model for assessing and improving the performance of departments and prioritization and determination of  impacts of each strategy increases the reliability of decisions for managers.

In recent years, the world witnessed an unprecedented growth in the awareness to the corruption consequences. International organizations, governments and civil society institutions are evaluating corruption as a serious obstacle to the realization of citizenship rights, democracy, and quality development, stability of national and international. Hence, it is essential that effective policies and measures to combat corruption be developed. One of these steps is identifying the causes of corruption strategies for dealing with it. In this paper the background of research and literature was described, and then a number of factors identified. Then, they have been ranked by AHP. In addition, the best alternatives have been determined by indentation of the suggested alternative for dealing with corruption and their prioritization by TAPSIS technic. The Research sample is tax administration of Isfahan. The information required is collected by questionnaire and library.  The findings suggest that the importance of corruption causes is different and particular attention should be paid to the most important factors to solve the problem of corruption.

The purpose of study, application Fractional Programming in determining the optimal Cropping Pattern was with the aims of sustainable agriculture in the Boroujerd city. Information needed for this study by completing a questionnaire and data agriculture jihad in years 2010-2011 in Boroujerd city was collected. The results showed that the current cropping pattern is different with cropping patterns earns by using of fractional programming. Also, according to the findings, the cultivation of wheat, corn, alfalfa and barley rise and the cultivation of sugar beet and bean will increase. Therefore, it has been recommended that, the policy makers were planning according to the needs of a planning particular; attention will be on the protection and promotion of sustainability indicator.

The use of flexible model for determining optimal cropping pattern in different regions interest researchers. In the present study different types of fuzzy goal models for determining cropping pattern used in Khorasan Razavi province have been tried. Three optimal cropping patterns with different weights in the objective function were estimated. Wheat, barley, corn, sugar beet, cotton and tomato are portion products studied. Research findings showed that among these three types of optimal cropping pattern there is no perceptible difference. There are Wheat, barley, corn and tomatoes in all optimal cropping patterns. Sugar beets and cotton products have been removed from all optimal cropping patterns. Therefore, it is recommended that to prevent the removal of these two products of cropping, real patterns in the future should be taken using promotion and protection of agricultural policies.

Basic model construction of HIV/AIDS disease, parameters estimation of this model and drug therapy effect is important and effective to prevent HIV progression. This paper evaluates presentation and analysis of an AIDS disease model and the objective function definition for disease control, therapy expense and drug side effect. In this model observation and evaluation was used to estimate parameters. Drug effect on viral load was considered after identification of presented model. This consideration can perform using control models that in this research were used from the two-dimensional control model. As a result, therapy control problems will be optimal control.

Many techniques for solving the linear multi-objective problems in multi-objective decision making are presented. One of the best developed methods is L-p metric technique with different values of norm. In this research L-p metric technique with extreme norm is considered and integrated with the goal programming technique. The result shows that the L-p metric technique can be formulated based on goal programming procedure. To demonstrate the applicability of the proposed technique, a numerical analysis is presented.

Selection of advanced manufacturing technologies (AMTs) is an important yet complex decision which requires careful consideration of various performance criteria. This paper proposes the use of data envelopment analysis (DEA) with double frontiers for the selection of AMTs, which considers not only the best (optimistic) but also the worst (pessimistic) relative efficiencies of each AMT. Compared with the traditional DEA, the DEA approach with double frontiers can identify the best AMT correctly and easily, without the need to impose any weight restriction or the need to calculate the cross-efficiency matrix, which requires a large number of computations and may also result in inconsistent conclusions by aggressive and benevolent cross-efficiency models. Four numerical examples are examined using the DEA approach with double frontiers to illustrate its simplicity and usefulness in AMT selection and justification.