This paper proposes two stochastic programming models for master production scheduling with capacity-load factor scenarios. In contrast to other work on production planning with load-dependent lead times or dynamic capacity loads, we iteratively build a set of realistic capacity-load factor...

Dynamic organizations constantly search for new ways to improve the quality of their processes. A core element of these efforts is the integration of informal learning into daily workflows. Interdisciplinary research is required to accomplish this challenging task and make informal learning...

Many human activities can be strategically timed around forecastable natural hazards to mute their impacts. We study air pollution shock mitigation in a high-stakes healthcare setting: hospital surgery scheduling. Using newly available inpatient surgery records from a major city in China, we...