كيارش جمالي

In today's competitive world, control over costs, quality and time in a manufacturing system is undeniable in different industries. One of the most important activities in industries to improve a manufacturing system is the control of maintenance activities. On the other hand, inventory management of spare parts has a direct relationship with and impact on maintenance activities in a manufacturing system. In most cases these two areas are examined separately. In this case, separate optimization leads to poor and costly solutions. Also in the human costs of maintenance activities, wage discussion is of the utmost importance which with proper planning can lead to significant savings in organizational costs. Wage estimation of maintenance activities depends on time, cost and quality factors. In the Maintenance wages Section, payments are made at the government approved rate, and in firms and repair shops at the unio‎n approved rate. Since the quality of the repair work varies at different levels, the quality, performance and level of repair work must be commensurate with the cost. This thesis presents a model for optimizing the maintenance activities of deteriorating systems with a condition-based maintenance (predictive maintenance) and the policy of Constant review inventory of spare parts in several different modes of insourcing and outsourcing maintenance activities (outsourcing of operational activities) with estimates of the wage of maintenance activities (outsourced) using the Overall Craft Effectiveness Index. The simulated model with the genetic algorithm is programmed using MATLAB software and the optimum values of the parameters are extracted. The results show that the two models mentioned in this study have significantly more cost savings than the existing models.