مقالات رزومه دکتر احمد رجبی

In this study the state space model and Laplace conversion for optimal control and forecast output of industrial groups were used. To this purpose, all industrial groups in the form of a system with specific data and the output were considered. Measure impacts of inputs on outputs or phrase calculated transfer function. So based on this method, state space equations in terms of all industrial groups were calculated with the Laplace transform, the behavior of industrial groups in the form of a system with multiple inputs and output was defined. With regard equations state space and Laplace, to predict and control the output of industrial groups in the future period, import input into the model and through this output was calculated. This method results in comparison with other methods showed that using state space control and forecast output is very good and the results, verify the claim determines.

In this study, manager’s decision-making pattern and its internal parameter effects in industrial departments with respect to behavioral and rational perspective were investigated. For this purpose, a questionnaire was designed, and mention the 50 number of managers of manufacturing industries were interviewed and data were collected with respect to the inter organization factors affecting decision making process, including identifying behavioral errors and general information related to the managers. Then, based on the logistic regression, the pattern of the model decision-making the managers were designed. Results showed that more than 68 percent of the managers surveyed decided based on the behavioral patterns. Also, variables such as gender, education-level, experience and manager’s ownership affected the choice of their decisions making pattern. In addition, the behavioral errors lead them to behavioral decision making. Given than the behavioral errors in the organizations usually leads to a lack of optimal decision making by managers, the necessary strategies are provided to reduce errors and to obtain the optimal decision making pattern by the managers.

In this paper, Cross Data Envelopment Analysis (CDEA) is used to calculate efficiency of change in the Chinese economy from traditional to knowledge-based economy. For this purpose, at first, the effective input/output indices of a knowledgebased economy are developed and introduced. Then, each index's relevant data for a period of 30 years (1978-2007) which include the Chinese economic transition from a traditional to a knowledge-based one, is compiled and the economy efficiency for each year of the said period is calculated through DEA model. Finally, calculated efficiency of each year is compared together. Due to the rather long period of time, which decreases the reliability of such comparisons, the CDEA method to calculate efficiency is used in these years, too. The results of the applied model show efficiency in traditional economy was 54% in China. With change to knowledge-based economy, it improved to 94%. Based on the fact that Iran is transferring from traditional to knowledge-based economy as well, which has been emphasized in both “the Third and the Forth 5-years Development Plans”, comparison of efficiency transition from traditional to knowledge- based economy in China presents new ideas which will be useful in our planning and decision making efforts.