A Sequential Bounding Approach for Optimal Appointment Scheduling
By B. Denton, Diwakar Gupta. 2003
384 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Management Information Systems
View Paper: https://www.semanticscholar.org/paper/cb49d551568bb4835d92aad916f492f416d12f7d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
- B. Denton
- Brecht Cardoen
- Erik L. Demeulemeester
- Jeroen Beliën
- Andrea Vogl
- Vidyadhar G. Kulkarni
- Serhan Ziya
- Nan Liu
In Management Information Systems
- Vidyadhar G. Kulkarni
- Serhan Ziya
- Nan Liu
- B. Denton
- Erik L. Demeulemeester
- Andrea Vogl
- Brecht Cardoen
- Jeroen Beliën
Citations in the corpus
- Dynamic Multipriority Patient Scheduling for a Diagnostic Resource (2008, background): “Comprehensive reviews of the broader appointment scheduling literature include Magerlein and Martin (1978), Cayirli and Veral (2003), Denton and Gupta (2003), and Mondschein and Weintraub (2003).”
- Appointment scheduling in health care: Challenges and opportunities (2008, methodology): “The optimal allowance depends on the position of a particular procedure in the sequence of procedures performed during a particular OR session (see Denton and Gupta (2003) for details).”
- Optimization of surgery sequencing and scheduling decisions under uncertainty (2007, methodology): “Weiss [15] and Denton and Gupta [4] propose stochastic optimization models for determining OR schedules.”
- A stochastic model for operating room planning with elective and emergency demand for surgery (2008, background): “Keywords: Stochastic programming; Operating rooms; Surgery planning; Emergency patients; Monte Carlo optimisation”
- Dynamic Scheduling of Outpatient Appointments Under Patient No-Shows and Cancellations (2010, methodology): “Past research shows that the longer the appointment delay, defined as the time between the day a patient requests an appointment and her actual appointment date, the higher the chances that she will cancel or not show up (Gallucci et al. (2005)). This suggests an obvious way of minimizing no-shows a”
- Operating room planning and scheduling: A literature review (2010, methodology): “mathematical programming linear programming [4, 25, 30, 31, 37, 58, 72, 87, 90, 94] quadratic programming [6, 9, 35] goal programming [2, 12, 89, 91, 101, 108] mixed integer programming [1, 6, 9, 13, 14, 21, 23, 62, 67, 68, 69, 75, 76, 95, 96, 98, 102, 103, 109, 114, 118, 122] dynamic programming [7”