• OpenAccess
    • List of Articles Reza Radfar

      • Open Access Article

        1 - A simulation Model to Predict and Improve the Performance of the Working Team and Achieve better Human-Resource Management Strategies (Case Study: Department of Industrial Management, Faculty of Management and Economics, Sciences and Research Branch, Islamic Azad University)
        fatemeh eskandar reza radfar abas toloi
        Given the importance of the role of human resources in organizations, strategic planning for achieving the optimum number of human resources in an organization is vital. The purpose of this research is to present a model for simulating and predicting team performance in More
        Given the importance of the role of human resources in organizations, strategic planning for achieving the optimum number of human resources in an organization is vital. The purpose of this research is to present a model for simulating and predicting team performance in industrial management teams in order to identify human-resource performance and improve human-resource management strategies. The factors that influence team performance are identified and extracted from previous studies, and then the timing of each task is examined in three scenarios, i.e. optimistic, probabilistic and Web-based, by identifying the processes that influence team performance. Model inputs are the number of students, the number of faculty, and the number of experts. Based on related studies, team performance outputs are three categories: The number of books, articles and theses; the desirability of team members; and the number of tasks completed, rejected, needed to revise or waiting in queue. The simulation was performed using Any Logic software. The results show that the desirability of the group manager and the training expert have the highest values in most scenarios and the number of tasks in the execution queue has a significant value in all scenarios. In some cases it is essential that new policies be adopted to improve HRM strategies in the industrial management department. Manuscript profile
      • Open Access Article

        2 - Simulation of Enhanced Oil Recovery Technology RoadMapping with System Dynamics Method
        Pegah Kiarsi Heydar reza radfar mahmood alborzi abas toloi
        : The process of interal Research and Development is in order to develope, implement, maintain, promote, and upgrade of the new technology. considering that development of new technology in the process of interal Research and Development leads to increase costs. The co More
        : The process of interal Research and Development is in order to develope, implement, maintain, promote, and upgrade of the new technology. considering that development of new technology in the process of interal Research and Development leads to increase costs. The costs of Research and Development in the oil industries are enormous and must be mapped to the development for each of the key equipments of a detailed technological path map.However, the formulation and implementation of the road map is associated with variety of risks. Therefore, the limits of the financial resources to invest in research and development in the process of compiling the road map for increasing oil harvest technology in the process of development of oil harvesting technologies are presented as the current research problem, which have been studied by System Dynamics in the Oil Industries Engineering and Construction Group.The key variables and Causal Loop Diagram were identified via expert opinion and data. After that the mathematical relationships of variables were determined according to research background and in approximately two years, a mathematical model of the system was developed using computer simulations in Vensim. The results indicated two types of Damped oscillation and Goal-seeking dynamic behaviors for model variables. Further, the dynamic hypotheses testing indicated that increased technological maturity and education reduces costs while increased technologic complexity increases costs. The best scenario was identified as a combination of highly-mature technology, high complexity, and high education level as it incurred minimum costs. Manuscript profile