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Martin L. Puterman

Affiliations: 
University of British Columbia, Vancouver, Vancouver, BC, Canada 
Area:
Operations Research, Industrial Engineering
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"Martin Puterman"
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Parents

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Arthur F. Veinott grad student 1972 Stanford (Econometree)

Children

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R. Keith Freeland grad student 1998 UBC (Econometree)
Xiaomei Ding grad student 2002 UBC

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Publications

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Oz B, Haviv M, Puterman ML. (2017) The advantage of relative priority regimes in multi-class multi-server queueing systems with strategic customers Operations Research Letters. 45: 498-502
Ma X, Sauré A, Puterman ML, et al. (2015) Capacity planning and appointment scheduling for new patient oncology consults. Health Care Management Science
Saure A, Patrick J, Puterman ML. (2015) Simulation-based approximate policy iteration with generalized logistic functions Informs Journal On Computing. 27: 579-595
Gocgun Y, Puterman ML. (2014) Dynamic scheduling with due dates and time windows: an application to chemotherapy patient appointment booking. Health Care Management Science. 17: 60-76
Zhang Y, Puterman ML. (2013) Developing an adaptive policy for long-term care capacity planning. Health Care Management Science. 16: 271-9
Zhang Y, Puterman ML, Atkins D. (2012) Residential long-term care capacity planning: the shortcomings of ratio-based forecasts. Healthcare Policy = Politiques De Santé. 7: 68-81
Santibáñez P, Aristizabal R, Puterman ML, et al. (2012) Operations research methods improve chemotherapy patient appointment scheduling. Joint Commission Journal On Quality and Patient Safety / Joint Commission Resources. 38: 541-53
Zhang Y, Puterman ML, Nelson M, et al. (2012) A Simulation Optimization Approach to Long-Term Care Capacity Planning Operations Research. 60: 249-261
Lavieri MS, Puterman ML, Tyldesley S, et al. (2012) When to treat prostate cancer patients based on their PSA dynamics Iie Transactions On Healthcare Systems Engineering. 2: 62-77
Sauré A, Patrick J, Tyldesley S, et al. (2012) Dynamic multi-appointment patient scheduling for radiation therapy European Journal of Operational Research. 223: 573-584
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