Production planning in maintenance facilities under uncertain repair time

Abstract

Production planning in maintenance facilities that rely on the availability of certified operators is a challenging task. This is primarily attributed to the need for the integration of workforce training with the operations schedule, in addition to the uncertain repair time of some components. We confine our attention to the repair and overhaul of advanced technological devices that are composed of several components. In this context, this study proposes a novel approach to embedding uncertain repair times of faulty components and develops a multi-stage stochastic programming model for integrated production and workforce planning in such facilities under independent random repair time. Our numerical experiments conducted on a range of problem instances expose the significant value of incorporating repair time uncertainty in this problem.

Keywords:

• Maintenance planning
• workforce training
• random repair time
• multi-stage stochastic programming
• capable to promise

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was financially supported by grants awarded by the Canadian Natural Science and Engineering Research Council through the Discovery Grant Program (numbers RGPIN/04803-2017 and RGPIN/084141-2020) in addition to FRQNT PhD scholarship award (B2X/288888-2020). This support is gratefully acknowledged.