The hospitality sector increasingly grapples with the tension between operational efficiency and personalized guest services. In response, this study develops and evaluates a novel platform for dynamic room cleaning and resource allocation, guided by open innovation principles and complexity...

In this work, we consider the integrated problem of locomotive scheduling and driver assignment in rail freight companies. Our aim is to compute an optimal simultaneous assignment of locomotives and drivers to the trains listed in a given order-book. Mathematically, this leads to the combination...

By applying machine learning algorithms, predictive business process monitoring (PBPM) techniques provide an opportunity to counteract undesired outcomes of processes. An especially complex variation of business processes is the engineering change (EC) process. Here, failing to adhere to planned...