ACM Home Page
Please provide us with feedback. Feedback
Digital Library logoTake a look at the new version of this page: [ beta version ]. Tell us what you think.
Appointment scheduling with discrete random durations
Full text PdfPdf (521 KB)
Source Symposium on Discrete Algorithms archive
Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms table of contents
New York, New York
Pages: 845-854  
Year of Publication: 2009
Authors
Mehmet A. Begen  University of British Columbia, Vancouver, BC, Canada
Maurice Queyranne  University of British Columbia, Vancouver, BC, Canada
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 95,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  

ABSTRACT

We consider the problem of determining optimal appointment schedule for a given sequence of jobs (e.g., medical procedures) on a single processor (e.g., operating room, examination facility), to minimize the expected total underage and overage costs when each job has a random processing duration given by a joint discrete probability distribution. Simple conditions on the cost rates imply that the objective function is submodular and L-convex. Then there exists an optimal appointment schedule which is integer and can be found in polynomial time. Our model can handle a given due date for the total processing (e.g., end of day for an operating room) after which overtime is incurred and, no-shows and emergencies.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
M. A. Begen, R. Levi, and M. Queyranne, A sampling-based approach to appointment scheduling, Working Paper, Sauder School of Business, University of British Columbia, (2008).
 
2
M. A. Begen and M. Queyranne, Minimizing a discrete-convex function for appointment scheduling, Working Paper, Sauder School of Business, University of British Columbia, (2008).
 
3
P. M. V. Bosch, D. C. Dietz, and J. R. Simeoni, Scheduling customer arrivals to a stochastic service system, Naval Research Logistics, 46 (1999), pp. 549--559.
 
4
T. Cayirli and E. Veral, Outpatient scheduling in health care: A review of literature, Production and Operations Management, 12 (2003).
 
5
B. Denton and D. Gupta, A sequential bounding approach for optimal appointment scheduling, IIE Transactions, 35 (2003), pp. 1003--1016.
 
6
S. Fujishige, Submodular Functions and Optimization, Elsevier, 2005.
 
7
 
8
G. C. Kaandorp and G. Koole, Optimal outpatient appointment scheduling, Health Care Man. Sci., 10 (2007), pp. 217--229.
 
9
S. T. McCormick, Submodular function minimization. a chapter in the handbook on discrete optimization, Elsevier, K. Aardal, G. Nemhauser, and R. Weismantel, eds, (2006).
 
10
K. Murota, Discrete Convex Analysis, SIAM, 2003.
 
11
J. B. Orlin, A faster strongly polynomial time algorithm for submodular function minimization, to appear in Math Programming, (2007).
 
12
 
13
L. W. Robinson and R. R. Chen, Scheduling doctors' appointments: optimal and empirically-based heuristic policies, IIE Transactions, 35 (2003), pp. 295--307.
 
14
L. W. Robinson, Y. Gerchak, and D. Gupta, Appointment times which minimize waiting and facility idleness, Working Paper, DeGroote School of Business, McMaster University, (1996).
 
15
F. Sabria and C. F. Daganzo, Approximate expressions for queuing systems with scheduling arrivals and established service order, Transportation Science, 23 (1989), pp. 159--165.
 
16
D. M. Topkis, Minimizing a submodular function on a lattice, Oper. Res., 26 (1978), pp. 305--321.
 
17
P. P. Wang, Static and dynamic scheduling of customer arrivals to a single-server system, Naval Research Logistics, 40 (1993), pp. 345--360.
 
18
P. P. Wang, Sequencing and scheduling n cusotmers for a stochastic server, European Journal of Operations Research, 119 (1999), pp. 729--738.
 
19
E. N. Weiss, Models for determining estimated start times and case orderings in hospital operating rooms, IIE Transactions, 22 (1990), pp. 143--150.
 
20
P. Zipkin, On the structure of lost-sales inventory models, Oper. Res., Published Online, (2008).

Collaborative Colleagues:
Mehmet A. Begen: colleagues
Maurice Queyranne: colleagues