Abstract
Diagnosing of the reason for non-performance requires that the behaviour of the line under study be precisely analysed in order to identify potential end-of-line gains. The first section of this article presents existing analytical models for homogenous and non-homogenous line production. The second section applies those analytical models to line production performance diagnosis, injecting input data from a real case study into the models. A predictive model for improving line production performance is proposed and implemented in a diagnosis system. This model generates the production gains that would result from each action and helps the operator to choose the action that will most improve line performance. A case study of a non-homogenous production line is used to illustrate the potential efficiency of our diagnosis system.
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Cauffriez, L., Willaeys, D. A predictive model for improving production line performance. Int J Adv Manuf Technol 29, 969–979 (2006). https://doi.org/10.1007/s00170-005-2583-3
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DOI: https://doi.org/10.1007/s00170-005-2583-3