Maintenance management has a direct influence on production performance. Existing works have not systematically taken the on-line production information into consideration in determining maintenance work-order priority, which is often assigned either through an ad hoc approach or using largely heuristic and static methods. In this paper, we first present a metric that can be used to quantitatively evaluate the effects of different maintenance priorities. Based on this index, one can employ a search algorithm to obtain maintenance work-order priorities that will lead to improved productivity within the optimization horizon. These concepts and methods are validated through simulation experiments and implementation in a real industrial facility. The results show that the effective utilization of on-line production data in dynamic maintenance scheduling can yield visible production benefit through maintenance priority optimization.
Maintenance Priority Assignment Utilizing On-line Production Information
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Yang, Z., Chang, Q., Djurdjanovic, D., Ni, J., and Lee, J. (March 24, 2006). "Maintenance Priority Assignment Utilizing On-line Production Information." ASME. J. Manuf. Sci. Eng. April 2007; 129(2): 435–446. https://doi.org/10.1115/1.2336257
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