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Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.

Patient Safety Medicine & Life Sciences
Comorbidity Medicine & Life Sciences
Information Storage and Retrieval Medicine & Life Sciences
Costs and Cost Analysis Medicine & Life Sciences
Capacity Planning Mathematics
Planning and Scheduling Mathematics
Location Model Mathematics
Gastrointestinal Hemorrhage Medicine & Life Sciences

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Research Output 2007 2019

Appointment scheduling and the effects of customer congestion on service

Zhang, Z., Berg, B. P., Denton, B. T. & Xie, X., Oct 3 2019, In : IISE Transactions. 51, 10, p. 1075-1090 16 p.

Research output: Contribution to journalArticle

Servers
Scheduling
Integer programming
Costs
Experiments
1 Citation (Scopus)

Improving Clinic Operational Efficiency and Utilization with RTLS

Berg, B., Longley, G. & Dunitz, J. M., Mar 1 2019, In : Journal of Medical Systems. 43, 3, 56.

Research output: Contribution to journalArticle

Computer Systems
Delivery of Health Care
Information Storage and Retrieval
Decision making
Systems analysis

Use of simulation to evaluate resource assignment policies in a multidisciplinary outpatient clinic

Berg, B., Longley, G. & Dunitz, J. M., Jan 31 2019, WSC 2018 - 2018 Winter Simulation Conference: Simulation for a Noble Cause. Institute of Electrical and Electronics Engineers Inc., p. 2646-2655 10 p. 8632307. (Proceedings - Winter Simulation Conference; vol. 2018-December).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Assignment
Resources
Evaluate
Simulation
Simulation Model
8 Citations (Scopus)

Fast approximation methods for online scheduling of outpatient procedure centers

Berg, B. P. & Denton, B. T., Sep 1 2017, In : INFORMS Journal on Computing. 29, 4, p. 631-644 14 p.

Research output: Contribution to journalArticle

Scheduling
Bins
Decision making
Decomposition
Costs

Optimizing US army force size under uncertainty through stochastic programming

Checco, J., Berg, B. & Loerch, A., Jan 1 2017, In : Military Operations Research. 22, 2, p. 19-37 19 p.

Research output: Contribution to journalArticle

Stochastic programming
Probability distributions
Costs
Personnel
Planning