Estimation of Real-Time Active Maintenance Opportunity Windows in Manufacturing Systems With Bernoulli Machines

Effective maintenance operations are essential to improve the competitiveness of manufacturing enterprises. However, the existing maintenance policies usually ignore the real-time dynamics of the system and cannot respond promptly to the demand changes in the market. This paper investigates the hidden opportunities that one machine can be stopped for maintenance during production time, while the throughput requirement in a specific horizon can still be satisfied. We define these time windows as active maintenance opportunity windows (AMOWs), and predict them based on the real-time operational data in manufacturing systems with different configurations and Bernoulli machines.