This paper presents a method to develop quantitative analysis to support the review or preparation of an equipment maintenance plan in a just-in-time production scenario. The proposed method includes: i) Identification of parts that influence reliability; ii) Estimation of failure rates; iii) Classification of parts according the effect of their failures; iv) Estimation of line occupation parameters; v) Identification of probability distributions for occupation line, time between failures and repair times, vi) Simulation of production and maintenance using the Monte Carlo Method; vii) Accomplishment of a sensitivity analysis concerning variations in demand, MTBF and MTTR, and iv) Establishment of maintenance strategy and intervals between preventive maintenance. The method is illustrated through an application comprising the scenario of a labeling and filling gallons line at a paints and dyes production company. The method allowed to clearly identifying the critical parts of the equipment according the production scenario in question.
Reliability centered maintenance; Monte Carlo simulation; Just in time system; Maintenance plan
