Multi-component machine repair problem with unreliable repairman, reboot, imperfect recovery and retrial

Abstract

The present study aims at the performance prediction of a multi-component machining system comprised of operating and mixed warm standby units under the care of a single unreliable server and retrial attempts. The concepts of reboot and recovery are incorporated to portray the real time manufacturing/production system dealing with automatic machines. A failed unit is automatically detected and fixed with a coverage probability. In case of unsuccessful recovery, the fault is cleared by reboot or reset operation. If the server is in idle state, the person taking care of the failed units joins the orbit and retries again and again for the repair of the failed units. To explore the transient state behaviour of the machine repair system, we establish various performance measures in terms of transient state probabilities of the number of failed units present in the system. Further, a comparative analysis of performance measures is presented for different system configuration. The feasibility of implementation of soft-computing technique is explored by computing the performance measures using adaptive network-based fuzzy interference systems (ANFIS).