Abstract The purpose of this study is to explain the ability of the computer simulation methodology to improve productivity of a production system. At the beginning, it demonstrates how simulation can be employed in productivity analysis. In this regard, a case study approach was used and the proposal methodology was implemented to represent the simulation capability to enhance the productivity in the case study. An explanation of the existing system was presented and the corresponding model called AS-IS model was designed, then the model was runned and the output was analyzed. The results of the study showed the bottlenecks and performance measures of the existing system and the initiated two models according to the simulation output, called TO-BE models. The results obtained from the simulation experiment showed the performance measure in the TO-BE models. The manager of the company, has selected the TO-BE2 model as the best alternative based on the economical and others measure.

Abstract The purpose of this study is to explain the ability of the simulation methodology to consider uncertainty of the multi criteria decisions making. The rank order of decision alternatives depends on two types of uncertainty:(1) uncertainty associated with the decision making judgment regarding each element of decision matrix described by distribution function, and (2) uncertainty regarding the future characteristics of the decision making environment described by a set of scenarios. Scenario is description of the decision making environment into some separate situations . Researchers concentrate on this type of uncertainty less than other types. Both types of uncertainty are capable to opposite the rank of alternatives and decline the certainty of decision maker to the rank order of alternatives. In The present research, a simulation approach for handling both types of related uncertainty was described. The final conclusions showed that when uncertainty associated with the decision making judgment regarding each element of decision matrix increases, the probability of rank reversion and rank uncertainty increases too. Under these situations, the final ranking of the alternatives is probabilistic.

Abstract Study of the relationship between two important variables, emotional intelligence and leadership style, has been the main purpose of this research. The population under study consists of 266 marketing and sales managers from Mashhad food and automobile industries from which a sample of 73 peaple was drawn. Data was collected by means of two questionnaires, including Weisinger’s emotional intelligence questionnair and Barak’s leadership style questionnair. Face validity and split half method were used to determine the questionnaires validity and reliability respectively. The result of split half reliability for emotional intelligence and leadership style questionnaires was known to be .083 and .079 respectively, which the results of the research revealed that there is a positive and meaningful relation between emotional intelligence and transformational leadership style, and a negative relation between emotional intelligence and transactional leadership style of the population under study.

Abstract One of the most important legislator institutions in every country is parliament. After selection of parliament deputies by people, one of the most problems is assigning them to the specialized commissions. In this paper a method for assigning parliament deputies to specialized commissions is introduced by using multi objective decision making (MODM) model. The objectives of the model are: interest, expert knowledge, and record of membership. The importance of the objectives are calculated by AHP method. The decision variables are zero-one.

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