L. Guimarães, M. Diaz-Madroñero Boluda, B. Almada-Lobo
In capital-intensive industries productive assets degrade over time leading to increasing costs or capacity loss. To remain competitive these companies, need to constantly monitor the asset's condition and plan maintenance activity to restore their performance. Moreover, asset’s replacement at the end of their useful life must be carefully planned to avoid supply shortage due to large periods of unavailability and constitute a perfect opportunity to adjust production capacity. This setting raises the need to simultaneously plan capacity, production and maintenance decisions to correctly account for the costs and the unavailable periods as well as optimize the new production capacity. However, traditionally these problems have been addressed separately both in the scientific community and in practice. In this talk we will show by means of mathematical programming how the benefits of integrating the aforementioned processe building on a real-word case from a two-stage process industry.
Keywords: Maintenance planning, lotsizing, mixed integer programming, process industry
Scheduled
MIO-2 Operations Research: Methods and Applications
September 6, 2019 3:30 PM
I2L5. Georgina Blanes building