Purpose Pumped-storage hydroelectricity (PSH) is considered as an effective method to moderate the difference in demand and supply of electricity. This study aims to understanding of the high capacity of energy production, storage and permanent exploitation has been the prominent feature of pumped-storage hydroelectricity. Design/methodology/approach In this paper, the optimization of energy production and maintenance costs in one of the large Iranian PSH has been discussed. Hence, a mathematical model mixed integer nonlinear programming developed in this area. Minimizing the difference in supply and demand in the energy production network to multiple energies has been exploited to optimal attainment scheme. To evaluate the model, exact solution CPLEX and to solve the proposed programming model, the efficient metaheuristics are utilized by the tuned parameters achieved from the Taguchi approach. Further analysis of the parameters of the problem is conducted to verify the model behavior in various test problems. Findings The results of this paper have shown that the meta-heuristic algorithm has been done in a suitable time, despite the approximation of the optimal answer, and the consequences of research indicate that the model proposed in the studied power plant is applicable. Originality/value In pumped-storage hydroelectricity plants, one of the main challenges in energy production issues is the development of production, maintenance and repair scheduling concepts that improves plant efficiency. To evaluate the mathematical model presented, exact solution CPLEX and to solve the proposed bi-objective mixed-integer linear programming model, set of efficient metaheuristics are used. Therefore, according to the level of optimization performed in the case study, it has caused the improvement of planning by 7%–12% and effective optimization processes.

The objective of this research is to investigate the balance between employees' organizational behavior and the method of managers' decision making in creating a good organizational climate in Gas Company of Zanjan province, Iran. The statistical population of this research includes 180 professions, staffs, and managers of the company and the study selects 120 people according to random sampling and by the use of Cochran formula. The descriptive-survey research method is cross sectional type. The questionnaire made by researcher was used for data gathering and its reliability and validity was approved. SPSS software was used for data analysis, correlation test was used for the effectiveness, and the effectiveness was specified. Also, LISREL software has been used for performing structural equations of model. The results of the research state that the variables of the balance between organizational behavior of staffs such as the balance of management commitment, balance of leadership, balance of communications, balance of learning, and balance of motivation were effective on its effectiveness in creating good organizational climate in the Gas Company of Zanjan province by managers' decision making methods.