بهبود قابلیت اطمینان ربات های صنعتی توسط بهینه سازی طرح عملیات بر اساس ارزیابی وخامت

This paper proposes a novel method for improving reliability of manufacturing facilities by optimizing operating conditions so as to reduce deterioration of critical components and to extend the life of facilities. The method is applied to an industrial robot. For deterioration evaluation, a life cycle simulation system has been developed. It evaluates wear of joint gears, which has critical effects on the accuracy of industrial robots. Optimization of operating conditions, defined in terms of layout of the robot and in motion pattern, is performed by means of a hybrid GA, which consists of genetic algorithm and simulated annealing. The effectiveness of the method has been verified by applying the method to assembly robots.

Reliability improvement is always a prime concern in the life cycle management of manufacturing facilities. For this purpose, various activities are conducted in terms of reliability design and maintenance. In addition, it is well recognized that planning proper operating conditions is effective for reliability improvement of the facilities. Improper operating conditions leads to so called forced deterioration of components and shortens the life of the facility. However, there have been few studies on systematic methods for determining operating conditions which take reliability of facilities into account. In this study, we propose an optimization method for operation plan of industrial robots based on deterioration evaluation.