عنوان مقاله [English]
Statistical process control and maintenance management are two key tools for controlling production processes. However, These two tools are traditionally separated (both in science and in business practice), their goals overlap a great deal. Their common goal is to achieve optimal product quality, little downtime and cost reduction by controlling variances in the process, that achieving these goals will increase the level of reliability of product quality. Using these two tools together can have better performance in terms of cost and quality for the organization; Therefore, in this research, an integrated model of statistical process control and maintenance management has been designed by considering the costs of two tools in Kish Wood Industries Company. The optimization criterion is to minimize the average total cost per unit time of these two systems. For this purpose, from MATLAB software and grid search approach to find the optimal values of sampling size (n), width of control limits (L), sampling interval (h) and number of sampling times during the planned maintenance (k) is used.
The values of n, h, L and k for the laminating process were calculated as 5, 1, 2.9 and 30, respectively. The results of this optimization in the studied process show that the duration of the planned maintenance should be increased compared to the existing program, and this can be due to compensatory maintenance when the false alarm is out of control of the process.