Sampling design to estimate the quantity of defective lots caused by maladjustment in semiautomatic industrial finishing equipment in different production lines in a metallic die cut process
DOI:
https://doi.org/10.36958/sep.v5i2.100Keywords:
sampling, two-stage, cluster, maintenance, emancipation, autonomy, research, training process, comprehensiveness.Abstract
PROBLEM: in industrial equipments, derived from the proper use and utilization of the materials that compose them, deviations from the expected specifications of the manufactured product are obtained as a result, so it is convenient to add a statistically valid method for the estimation of failed batches. OBJECTIVE: the estimation of the number of failed batches obtained in equipment with damage derived from maladjustment is required for the creation of programs that allow projecting predictive maintenance. METHOD: by adopting techniques that allow anticipating the maladjustments that occur in the machines, these problems could be prevented through the acquisition of instruments specifically designed for monitoring. That is why a two-stage demonstration design by conglomerates was carried out, which demonstrated the estimated total behavior in the equipment of the different production lines. RESULTS: considering the magnitude of the size of the defective batches, an experimental sampling design was developed in order to obtain early information regarding the estimation of failed batches. CONCLUSIONS: it was obtained at low cost, a statistical estimation tool for the evaluation of batches considered defective, through the design of a sampling tool in two phases.
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