Estimation of active maintenance opportunity windows in Bernoulli production lines

Abstract Effective and timely maintenance actions can sustain and improve both system availability and product quality in automated manufacturing systems. However, arbitrarily stopping machines for maintenance will occupy their production time and may introduce system-level production losses. There may exist hidden opportunities during production, such that specific machines can be actively shut down for preventive maintenance without penalizing the system throughput. In this paper, the time intervals for such opportunities are defined as active maintenance opportunity windows (AMOWs). A Bernoulli model is developed to analytically estimate AMOWs in two-machine-one-buffer production lines. A recursive algorithm based on an aggregation method is used to estimate AMOWs in long lines. For balanced production lines, a heuristic algorithm is proposed to estimate AMOWs in real time. The effectiveness of the methods has been validated through numerical studies.

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