We consider an appointment-based service system (for example, an outpatient clinic) for which appointments need to be scheduled before the service session starts. Patients with scheduled appointments may or may not show-up for their appointments. The service of scheduled patients can be interrupted by emergency requests that have a higher priority. We develop a framework which can be utilized i...

We solve the problem of scheduling appointments for a finite customer population to a service facility with customer no-shows to minimize customer waiting time and server overtime costs. We study the problem in fluid and diffusion frameworks. We find that it is optimal to schedule traffic so that the system is in critical load. That is, heavy-traffic is obtained as a result of optimization rath...

In September, 2006, a 66-year-old man was admitted to our hospital with a 6-week history of nausea, dysphagia to solids, and abdominal discomfort after eating. His appetite was much reduced, and he reported that he felt sated after eating little food; he had lost 10 kg in weight, and was constantly tired. His past medical history included hypertension, dyslipidaemia, and coronary artery disease...

We have made near-IR spectral observations of the very young (5.75 Myr) S-type asteroid 832 Karin, well sampled in rotational phase over its 18.35-h period. We find no significant variations in its reflectance spectrum. Karin, the brightest member of the Karin cluster (a sub-family of the larger, older Koronis dynamical family), was shown to be exceptionally young by Nesvorný et al. [Nesvorný, ...

BACKGROUND One of the major challenges facing global radiology services comes from delays connected to long waiting lists for magnetic resonance imaging (MRI) procedures. Such delays in diagnostic procedures could lead to poorer patient care outcomes. This study intended to estimate the rate of "No-Shows" or "Reschedule" MRI appointments. We also investigated the factors correlating No-Shows an...

Abstract Assume that customers are price sensitive, changes in the price of perishable products will bring changes in demand, and business can adjust the perishable products' price to influence the market demand, a perishable products multi-stage pricing model considering cancelations and no-shows is proposed, and the optimal pricing, the optimal expected revenue with the products' initial quan...