We study how to admit and schedule heterogeneous patients by using simple, interpretable, yet effective policies when capacity is scarce, no-show behavior is patient- and time-dependent, and overtime is costly. Our work is motivated by the aforementioned operational challenges that typically...

Appointment schedules in essence balance supply and demand and are often employed in settings where resources are scarce and thus a high utilization is realized, e.g. healthcare. Whereas most of the existing literature focuses on the single-server case, a framework is developed to study...

Coordinated services and virtual medicine are the two innovative concepts being employed in the transformation from provider-centered care to patient-centered care. In this paper, we combine these two concepts to study a coordinated scheduling problem with both virtual medicine patients (VM...

Workers in knowledge-intensive industries often complain of having too many meetings, but organizations still give little thought to deciding when or how often to meet. In this paper, we investigate the efficiency and robustness of various coordination scheduling rules. We consider a situation...

In this paper, we compute the tightest possible bounds on the probability that the optimal value of a combinatorial optimization problem in maximization form with a random objective exceeds a given number, assuming only knowledge of the marginal distributions of the objective coefficient vector....

The aging population and increasing chronic disease load are rapidly changing the face of primary care delivery, with mid-level (e.g., nurse) practitioners providing growing proportion of patient care. Potential differences in the quality of care offered by physicians and nurse practitioners may...

Unstable schedules—hours that are inadequate, unpredictable (i.e., deviate from scheduled hours), or that vary from week to week—hurt employees. We examine whether they also affect financial performance. Using 52 weeks of data from over 1,000 stores and more than 15,000 employees of a...

Airlines are known to compete for passengers, and airline profitability heavily depends on the ability to estimate passenger demand, which in turn depends on flight schedules, fares and the number of seats available at each fare, across all airlines. Interestingly, such competitive interactions...

In the global maritime transportation network, the on-time performance of cargo transportation depends largely on the service capacity and accessibility of seaports. When opportunities for infrastructure expansions are not available, seaport congestion mitigation may require effective scheduling...

Solving University Class Scheduling Problem (UCSP) is a complex real-world combinatorial optimization task that has been extensively studied over the last several decades. Many meta-heuristic based techniques, including prominent swarm intelligence (SI) methods have been investigated to solve it...