headshot

Andrew Schaefer

Professor
Professor with tenure
Industrial Engineering

about

(2013) Outstanding Young Engineering Alumni Award, Rice University.

(2013) Meritorious Referee, Operations Research.

(2012) William Kepler Whiteford Professor, University of Pittsburgh.

(2010) Best Paper Award, Service Science Section of INFORMS, for Kurt et al.

(2008) IIE Transactions 2009 Best Applied Paper Prize in Operations Engineering and Analysis for Kreke et al.

(2007) Outstanding Young IE - Education Award, Institute of Industrial Engineers (IIE).

(2006) University of Pittsburgh School of Engineering Board of Visitors Faculty Award.

(2006) CAREER Award, National Science Foundation.

(2004) Honorable Mention, Best Paper Award, INFORMS Junior Faculty Interest Group.

(2003) Wellington C. Carl Faculty Fellowship, University of Pittsburgh.

(2003) Second Prize, University of Pittsburgh School of Engineering Diversity Award.

(2003) Honorable Mention, Best Paper Award, INFORMS Junior Faculty Interest Group.

(2002) Faculty Honor Roll for Teaching Excellence, University of Pittsburgh.

(1999) Selected for INFORMS Doctoral Colloquium.

(1995 - 1999) President's Fellowship, Georgia Institute of Technology.

(1990) Board of Governor's Scholarship, Rice University.

(1990 - 1994) President's Honor Roll for five of eight semesters, Rice University.

(1990 - 1994) National Merit Scholar.

John H. Morris Graduate Fellowship, School of Industrial and Systems Engineering, Georgia Tech.

BA, Double major in Computational and Applied Mathematics / Mathematical Economic Analysis, Rice University, 1994

MA, Computational and Applied Mathematics, Rice University, 1994

PhD, Industrial and Systems Engineering, Georgia Institute of Technology, 2000

Mildebrath, D., Knight, W., & Schaefer, A. (2020). Optimal jersey retirement in the National Basketball Association. IISE Transactions, 52(4), 363-376.Informa UK Limited. doi: 10.1080/24725854.2019.1633030.

Dehghanian, A., Kurt, M., & Schaefer, A.J. (2019). Optimizing over pure stationary equilibria in consensus stopping games. Mathematical Programming Computation, 11(2), 341-380.Springer Science and Business Media LLC. doi: 10.1007/s12532-018-0151-8.

John, A., Sun, R., Maillart, L., Schaefer, A., Spence, E.H., & Perrin, M.T. (2019). Macronutrient variability in human milk from donors to a milk bank: Implications for feeding preterm infants. PLOS ONE, 14(1), e0210610.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0210610.

Ng, S.P., Pollard, C., Berends, J., Ayoub, Z., Kamal, M., Garden, A.S., Bahig, H., Cantor, S.B., Schaefer, A.J., Ajayi, T., Gunn, G.B., Frank, S.J., Skinner, H., Phan, J., Morrison, W.H., Ferrarotto, R., Johnson, J.M., Mohamed, A.S.R., Lai, S.Y., Hessel, A.C., Sturgis, E.M., Weber, R.S., Fuller, C.D., & Rosenthal, D.I. (2019). Usefulness of surveillance imaging in patients with head and neck cancer who are treated with definitive radiotherapy. Cancer, 125(11), 1823-1829.Wiley. doi: 10.1002/cncr.31983.

Tavaslioglu, O., Prokopyev, O.A., & Schaefer, A.J. (2019). Solving Stochastic and Bilevel Mixed-Integer Programs via a Generalized Value Function. OPERATIONS RESEARCH, 67(6), 1659-1677.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/opre.2019.1842.

Ozaltin, O.Y., Prokopyev, O.A., & Schaefer, A.J. (2018). Optimal Design of the Seasonal Influenza Vaccine with Manufacturing Autonomy. INFORMS JOURNAL ON COMPUTING, 30(2), 371-387.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.2017.0786.

Tavashoglu, O., Lee, T., Valeva, S., & Schaefer, A.J. (2018). On the structure of the inverse-feasible region of a linear program. OPERATIONS RESEARCH LETTERS, 46(1), 147-152.Elsevier BV. doi: 10.1016/j.orl.2017.12.004.

Bartick, M.C., Schwarz, E.B., Green, B.D., Jegier, B.J., Reinhold, A.G., Colaizy, T.T., Bogen, D.L., Schaefer, A.J., & Stuebe, A.M. (2017). Suboptimal breastfeeding in the United States: Maternal and pediatric health outcomes and costs. MATERNAL AND CHILD NUTRITION, 13(1).Wiley. doi: 10.1111/mcn.12366.

Stuebe, A.M., Jegier, B.J., Schwarz, E.B., Green, B.D., Reinhold, A.G., Colaizy, T.T., Bogen, D.L., Schaefer, A.J., Jegier, J.T., Green, N.S., & Bartick, M.C. (2017). An Online Calculator to Estimate the Impact of Changes in Breastfeeding Rates on Population Health and Costs. BREASTFEEDING MEDICINE, 12(10), 645-658.Mary Ann Liebert Inc. doi: 10.1089/bfm.2017.0083.

Colaizy, T.T., Bartick, M.C., Jegier, B.J., Green, B.D., Reinhold, A.G., Schaefer, A.J., Bogen, D.L., Schwarz, E.B., Stuebe, A.M., & Inst, E.K.S.N. (2016). Impact of Optimized Breastfeeding on the Costs of Necrotizing Enterocolitis in Extremely Low Birthweight Infants. JOURNAL OF PEDIATRICS, 175, 100-+.Elsevier BV. doi: 10.1016/j.jpeds.2016.03.040.

Dehghanian, A., & Schaefer, A.J. (2016). Superadditive characterizations of pure integer programming feasibility. OPTIMIZATION LETTERS, 10(1), 181-188.Springer Science and Business Media LLC. doi: 10.1007/s11590-015-0885-4.

Eckman, D.J., Maillart, L.M., & Schaefer, A.J. (2016). Optimal pinging frequencies in the search for an immobile beacon. IIE TRANSACTIONS, 48(6), 489-500.Informa UK Limited. doi: 10.1080/0740817X.2015.1110270.

Nemati, S., Shylo, O.V., Prokopyev, O.A., & Schaefer, A.J. (2016). The Surgical Patient Routing Problem: A Central Planner Approach. INFORMS JOURNAL ON COMPUTING, 28(4), 657-673.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.2016.0706.

Cornuejols, G., & Schaefer, A. (2015). Special issue of Mathematical Programming, Series B, dedicated to the international symposium on mathematical programming, Pittsburgh, July 2015. MATHEMATICAL PROGRAMMING, 151(1), 1-2.Springer Science and Business Media LLC. doi: 10.1007/s10107-015-0904-3.

Khademi, A., Saure, D., Schaefer, A., Nucifora, K., Braithwaite, S., & Roberts, M.S. (2015). HIV Treatment in Resource-Limited Environments: Treatment Coverage and Insights. VALUE IN HEALTH, 18(8), 1113-1119.Elsevier BV. doi: 10.1016/j.jval.2015.10.003.

Khademi, A., Saure, D.R., Schaefer, A.J., Braithwaite, R.S., & Roberts, M.S. (2015). The Price of Nonabandonment: HIV in Resource-Limited Settings. M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, 17(4), 554-570.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/msom.2015.0545.

Lamperski, J.B., & Schaefer, A.J. (2015). A polyhedral characterization of the inverse-feasible region of a mixed-integer program. OPERATIONS RESEARCH LETTERS, 43(6), 575-578.Elsevier BV. doi: 10.1016/j.orl.2015.08.010.

Sun, R.R., Shylo, O.V., & Schaefer, A.J. (2015). Totally unimodular multistage stochastic programs. OPERATIONS RESEARCH LETTERS, 43(1), 29-33.Elsevier BV. doi: 10.1016/j.orl.2014.11.003.

Kabiri, M., Jazwinski, A.B., Roberts, M.S., Schaefer, A.J., & Chhatwal, J. (2014). The Changing Burden of Hepatitis C Virus Infection in the United States: Model-Based Predictions. ANNALS OF INTERNAL MEDICINE, 161(3), 170-U120.American College of Physicians. doi: 10.7326/M14-0095.

Khademi, A., Braithwaite, R.S., Saure, D., Schaefer, A.J., Nucifora, K., & Roberts, M.S. (2014). Should Expectations about the Rate of New Antiretroviral Drug Development Impact the Timing of HIV Treatment Initiation and Expectations about Treatment Benefits?. In Winston, A. (Ed.). PLOS ONE, 9(6), e98354.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0098354.

Kaufman, D.L., & Schaefer, A.J. (2013). Robust Modified Policy Iteration. INFORMS JOURNAL ON COMPUTING, 25(3), 396-410.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.1120.0509.

Kong, N., Schaefer, A.J., & Ahmed, S. (2013). Totally unimodular stochastic programs. MATHEMATICAL PROGRAMMING, 138(1-2), 1-13.Springer Science and Business Media LLC. doi: 10.1007/s10107-012-0529-8.

Sandikci, B., Kong, N., & Schaefer, A.J. (2013). A hierarchy of bounds for stochastic mixed-integer programs. MATHEMATICAL PROGRAMMING, 138(1-2), 253-272.Springer Science and Business Media LLC. doi: 10.1007/s10107-012-0526-y.

Sandikci, B., Maillart, L.M., Schaefer, A.J., & Roberts, M.S. (2013). Alleviating the Patient's Price of Privacy Through a Partially Observable Waiting List. MANAGEMENT SCIENCE, 59(8), 1836-1854.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/mnsc.1120.1671.

Shylo, O.V., Prokopyev, O.A., & Schaefer, A.J. (2013). Stochastic Operating Room Scheduling for High-Volume Specialties Under Block Booking. INFORMS JOURNAL ON COMPUTING, 25(4), 682-692.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.1120.0530.

Trapp, A.C., Prokopyev, O., & Schaefer, A.J. (2013). On a Level-Set Characterization of the Integer Programming Value Function and its Application to Stochastic Programming. Operations Research, 61(2), 498-511.

Trapp, A.C., Prokopyev, O.A., & Schaefer, A.J. (2013). On a Level-Set Characterization of the Value Function of an Integer Program and Its Application to Stochastic Programming. OPERATIONS RESEARCH, 61(2), 498-511.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/opre.1120.1156.

Demirci, M.C., Schaefer, A.J., Romeijn, H.E., & Roberts, M.S. (2012). An Exact Method for Balancing Efficiency and Equity in the Liver Allocation Hierarchy. INFORMS JOURNAL ON COMPUTING, 24(2), 260-275.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.1110.0445.

Oezaltin, O.Y., Prokopyev, O.A., & Schaefer, A.J. (2012). Two-stage quadratic integer programs with stochastic right-hand sides. MATHEMATICAL PROGRAMMING, 133(1-2), 121-158.Springer Science and Business Media LLC. doi: 10.1007/s10107-010-0412-4.

Ozaltin, O.Y., Prokopyev, O., & Schaefer, A.J. (2012). Two-Stage Quadratic Integer Programs with Stochastic Right-Hand Sides. Mathematical Programming, 133(1), 121-158.

Batun, S., Denton, B.T., Huschka, T.R., & Schaefer, A.J. (2011). The Benefit of Pooling Operating Rooms under Uncertainty. INFORMS Journal on Computing, 23(2), 220-237.

Batun, S., Denton, B.T., Huschka, T.R., & Schaefer, A.J. (2011). Operating Room Pooling and Parallel Surgery Processing Under Uncertainty. INFORMS JOURNAL ON COMPUTING, 23(2), 220-237.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.1100.0396.

Kurt, M., Denton, B.T., Schaefer, A.J., Shah, N.D., & Smith, S.A. (2011). The structure of optimal statin initiation policies for patients with Type 2 diabetes. IIE Transactions on Healthcare Systems Engineering, 1(1), 49-65.Informa UK Limited. doi: 10.1080/19488300.2010.550180.

Oezaltin, O.Y., Hunsaker, B., & Schaefer, A.J. (2011). Predicting the Solution Time of Branch-and-Bound Algorithms for Mixed-Integer Programs. INFORMS JOURNAL ON COMPUTING, 23(3), 392-403.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.1100.0405.

Oezaltin, O.Y., Prokopyev, O.A., Schaefer, A.J., & Roberts, M.S. (2011). Optimizing the Societal Benefits of the Annual Influenza Vaccine: A Stochastic Programming Approach. OPERATIONS RESEARCH, 59(5), 1131-1143.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/opre.1110.0988.

Rajgopal, J., Wang, Z., Schaefer, A.J., & Prokopyev, O.A. (2011). Integrated design and operation of remnant inventory supply chains under uncertainty. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 214(2), 358-364.Elsevier BV. doi: 10.1016/j.ejor.2011.04.039.

Shah, N.D., Mason, J., Kurt, M., Denton, B.T., Schaefer, A.J., Montori, V.M., & Smith, S.A. (2011). Comparative Effectiveness of Guidelines for the Management of Hyperlipidemia and Hypertension for Type 2 Diabetes Patients. PLOS ONE, 6(1), e16170.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0016170.

Alagoz, O., Hsu, H., Schaefer, A.J., & Roberts, M.S. (2010). Markov Decision Processes: A Tool for Sequential Decision Making under Uncertainty. MEDICAL DECISION MAKING, 30(4), 474-483.SAGE Publications. doi: 10.1177/0272989X09353194.

Erkin, Z., Bailey, M.D., Maillart, L.M., Schaefer, A.J., & Roberts, M.S. (2010). Eliciting Patients' Revealed Preferences: An Inverse Markov Decision Process Approach. DECISION ANALYSIS, 7(4), 358-365.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/deca.1100.0185.

Kong, N., Schaefer, A.J., Hunsaker, B., & Roberts, M.S. (2010). Maximizing the Efficiency of the U.S. Liver Allocation System Through Region Design. MANAGEMENT SCIENCE, 56(12), 2111-2122.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/mnsc.1100.1249.

Ozaltin, O.Y., Prokopyev, O.A., & Schaefer, A.J. (2010). The bilevel knapsack problem with stochastic right-hand sides. OPERATIONS RESEARCH LETTERS, 38(4), 328-333.Elsevier BV. doi: 10.1016/j.orl.2010.04.005.

Schaefer, A.J., Erkin, Z.E., Bailey, M.D., Maillart, L.M., & Roberts, M.S. (2010). Eliciting Patients' Revealed Preferences: An Inverse MDP Approach. Decision Analysis, 7(4), 358-365.

Trukhanov, S., Ntaimo, L., & Schaefer, A. (2010). Adaptive multicut aggregation for two-stage stochastic linear programs with recourse. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 206(2), 395-406.Elsevier BV. doi: 10.1016/j.ejor.2010.02.025.

Alagoz, O., Schaefer, A.J., & Roberts, M.S. (2009). Optimizing Organ Allocation and Acceptance. In Handbook of Optimization in Medicine. 26, (pp. 1-24).Springer US. doi: 10.1007/978-0-387-09770-1_1.

Rajgopal, J., Wang, Z., Schaefer, A., & Prokopyev, O. (2009). Effective management policies for remnant inventory supply chains. IIE TRANSACTIONS, 41(5), 437-447.Informa UK Limited. doi: 10.1080/07408170802516298.

Schaefer, A.J. (2009). Inverse integer programming. OPTIMIZATION LETTERS, 3(4), 483-489.Springer Science and Business Media LLC. doi: 10.1007/s11590-009-0131-z.

Taskin, Z.C., Smith, J.C., Ahmed, S., & Schaefer, A.J. (2009). Cutting plane algorithms for solving a stochastic edge-partition problem. DISCRETE OPTIMIZATION, 6(4), 420-435.Elsevier BV. doi: 10.1016/j.disopt.2009.05.004.

Braithwaite, R.S., Roberts, M.S., Chang, C.C., Goetz, M., Gilbert, C., Rodriguez, A.M., Shechter, S., Schaefer, A.J., Nucifora, K., Koppenhaver, R., & Justice, A. (2008). The Influence of Alternative Thresholds for Initiating HIV Treatment on Life Expectancy and Quality-adjusted Life Expectancy: A Decision Model. Annals of Internal Medicine, 148(3), 178-185.

Braithwaite, R.S., Roberts, M.S., Chang, C.C.H., Goetz, M.B., Gibert, C.L., Rodrigue-Barradas, M.C., Shechter, S., Schaefer, A., Nucifora, K., Koppenhaver, R., & Justice, A.C. (2008). Influence of alternative thresholds for initiating HIV treatment on quality-adjusted life expectancy: A decision model. ANNALS OF INTERNAL MEDICINE, 148(3), 178-185.American College of Physicians. doi: 10.7326/0003-4819-148-3-200802050-00004.

Kreke, J.E., Bailey, M.D., Schaefer, A.J., Angus, D.C., & Roberts, M.S. (2008). Modeling hospital discharge policies for patients with pneumonia-related sepsis. IIE TRANSACTIONS, 40(9), 853-860.Informa UK Limited. doi: 10.1080/07408170802165872.

Maillart, L., Sandikci, B., Schaefer, A.J., Alagoz, O., & Roberts, M.S. (2008). Estimating the Patient's Price of Privacy in Liver Transplantation. Operations Research, 56(5), 1393-1410.

Shechter, S.M., Bailey, M.D., & Schaefer, A.J. (2008). A modeling framework for replacing medical therapies. IIE TRANSACTIONS, 40(9), 861-869.Informa UK Limited. doi: 10.1080/07408170802165898.

Shechter, S.M., Bailey, M.D., Schaefer, A.J., & Roberts, M.S. (2008). The optimal time to initiate HIV therapy under ordered health states. OPERATIONS RESEARCH, 56(1), 20-33.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/opre.1070.0480.

Shechter, S.M., Bailey, M.I., & Schaefer, A.J. (2008). Replacing nonidentical vital components to extend system life. NAVAL RESEARCH LOGISTICS, 55(7), 700-703.Wiley. doi: 10.1002/nav.20312.

Stahl, J.E., Kreke, J.E., Abdulmalek, F., Schaefer, A.J., & Vacanti, J. (2008). The Effect of Cold-Ischemia Time on Primary Nonfunction, Patient and Graft Survival in Liver Transplantation: A Systematic Review. PLoS ONE, 3(6), e2468.

Stahl, J.E., Kreke, J.E., Malek, F.A.A., Schaefer, A.J., & Vacanti, J. (2008). Consequences of Cold-Ischemia Time on Primary Nonfunction and Patient and Graft Survival in Liver Transplantation: A Meta-Analysis. In Timmer, A. (Ed.). PLOS ONE, 3(6), e2468.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0002468.

Alagoz, O., Maillart, L.M., Schaefer, A.J., & Roberts, M.S. (2007). Choosing among living-donor and cadaveric livers. MANAGEMENT SCIENCE, 53(11), 1702-1715.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/mnsc.1070.0726.

Alagoz, O., Maillart, L.M., Schaefer, A.J., & Roberts, M.S. (2007). Determining the acceptance of cadaveric livers using an implicit model of the waiting list. OPERATIONS RESEARCH, 55(1), 24-36.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/opre.1060.0329.

Braithwaite, R.S., Conigliaro, J., Roberts, M.S., Shechter, S., Schaefer, A., McGinnis, K., Rodriguez, M.C., Rabeneck, L., Bryant, K., & Justice, A.C. (2007). Estimating the impact of alcohol consumption on survival for HIV plus individuals. AIDS CARE-PSYCHOLOGICAL AND SOCIO-MEDICAL ASPECTS OF AIDS/HIV, 19(4), 459-466.Informa UK Limited. doi: 10.1080/09540120601095734.

Braithwaite, R.S., Shechter, S., Chang, C.C.H., Schaefer, A., & Roberts, M.S. (2007). Estimating the rate of accumulating drug resistance mutations in the HIV genome. VALUE IN HEALTH, 10(3), 204-213.Elsevier BV. doi: 10.1111/j.1524-4733.2007.00170.x.

Braithwaite, R.S., Shechter, S., Roberts, M.S., Schaefer, A., Bangsberg, D.R., Harrigan, P.R., & Justice, A.C. (2007). Explaining variability in the relationship between antiretroviral adherence and HIV mutation accumulation (vol 58, pg 1036, 2006). JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY, 59(4), 821.Oxford University Press (OUP). doi: 10.1093/jac/dkm027.

Braithwaite, R.S., Shechter, S.M., Chang, C.C., Schaefer, A.J., & Roberts, M.S. (2007). Estimating the Rate of Accumulating Drug Resistance Mutations in the HIV Genome. Value in Health, 10(3), 204-213.

Saka, G., Kreke, J.E., Schaefer, A.J., Chang, C.C.H., Roberts, M.S., & Angus, D.C. (2007). Use of dynamic microsimulation to predict disease progression in patients with pneumonia-related sepsis. Critical Care, 11(3), R65.Springer Science and Business Media LLC. doi: 10.1186/cc5942.

Bailey, M.D., Shechter, S.M., & Schaefer, A.J. (2006). SPAR: stochastic programming with adversarial recourse. OPERATIONS RESEARCH LETTERS, 34(3), 307-315.Elsevier BV. doi: 10.1016/j.orl.2005.05.002.

Braithwaite, R.S., Shechter, S., Roberts, M.S., Schaefer, A., Bangsberg, D.R., Harrigan, P.R., & Justice, A.C. (2006). Explaining variability in the relationship between antiretroviral adherence and HIV mutation accumulation. JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY, 58(5), 1036-1043.Oxford University Press (OUP). doi: 10.1093/jac/dkl386.

Kong, N., & Schaefer, A.J. (2006). A factor (1)/(2) approximation algorithm for two-stage stochastic matching problems. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 172(3), 740-746.Elsevier BV. doi: 10.1016/j.ejor.2004.10.011.

Kong, N., Schaefer, A.J., & Hunsaker, B. (2006). Two-stage integer programs with stochastic right-hand sides: a superadditive dual approach. MATHEMATICAL PROGRAMMING, 108(2-3), 275-296.Springer Science and Business Media LLC. doi: 10.1007/s10107-006-0711-y.

Schaefer, A.J., & Nemhauser, G.L. (2006). Improving airline operational performance through schedule perturbation. ANNALS OF OPERATIONS RESEARCH, 144(1), 3-16.Springer Science and Business Media LLC. doi: 10.1007/s10479-006-0003-1.

Shechter, S.M., Schaefer, A.J., Braithwaite, R.S., & Roberts, M.S. (2006). Increasing the efficiency of Monte Carlo cohort simulations with variance reduction techniques. MEDICAL DECISION MAKING, 26(5), 550-553.SAGE Publications. doi: 10.1177/0272989X06290489.

Shechter, S.M., Schaefer, A.J., Braithwaite, R.S., & Roberts, M.S. (2006). Increasing the Efficiency of Monte Carlo Cohort Simulations with Variance Reduction Techniques. Medical Decision Making, 26(5), 550-553.

Alagoz, O., Bryce, C.L., Shechter, S., Schaefer, A., Chang, C.C.H., Angus, D.C., & Roberts, M.S. (2005). Incorporating biological natural history in simulation models: Empirical estimates of the progression of end-stage liver disease. MEDICAL DECISION MAKING, 25(6), 620-632.SAGE Publications. doi: 10.1177/0272989X05282719.

Alagoz, O., Bryce, C.L., Shechter, S.M., Schaefer, A.J., Chang, C.C., Angus, D.C., & Roberts, M.S. (2005). Incorporating Biological Natural History in Simulation Models: Empiric Estimates of the Progression of End-Stage Liver Disease. Medical Decision Making, 25, 620-632.

Schaefer, A.J., Johnson, E.L., Kleywegt, A.J., & Nemhauser, G.L. (2005). Airline crew scheduling under uncertainty. TRANSPORTATION SCIENCE, 39(3), 340-348.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/trsc.1040.0091.

Shechter, S.M., Bryce, C.L., Alagoz, O., Kreke, J.E., Stahl, J.E., Schaefer, A.J., Angus, D.C., & Roberts, M.S. (2005). A clinically based discrete-event simulation of end-stage liver disease and the organ allocation process. MEDICAL DECISION MAKING, 25(2), 199-209.SAGE Publications. doi: 10.1177/0272989X04268956.

Shechter, S.M., Bryce, C.L., Alagoz, O., Kreke, J.E., Stahl, J.E., Schaefer, A.J., Angus, D.C., & Roberts, M.S. (2005). A Clinically Based Discrete Event Simulation of End-Stage Liver Disease and the Organ Allocation Process. Medical Decision Making, 25(2), 199-209.

Stahl, J.E., Kong, N., Shechter, S.M., Schaefer, A.J., & Roberts, M.S. (2005). A methodological framework for optimally reorganizing liver transplant regions. MEDICAL DECISION MAKING, 25(1), 35-46.SAGE Publications. doi: 10.1177/0272989X04273137.

Stahl, J.E., Kong, N., Shechter, S.M., Schaefer, A.J., & Roberts, M.S. (2005). A Methodological Framework for Optimally Reorganizing Liver Transplant Regions. Medical Decision Making, 25(1), 35-46.

Alagoz, O., Maillart, L.M., Schaefer, A.J., & Roberts, M.S. (2004). The optimal timing of living-donor liver transplantation. MANAGEMENT SCIENCE, 50(10), 1420-1430.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/mnsc.1040.0287.

Kreke, J.E., Schaefer, A.J., & Roberts, M.S. (2004). Simulation and critical care modeling. Curr Opin Crit Care, 10(5), 395-398.Ovid Technologies (Wolters Kluwer Health). doi: 10.1097/01.ccx.0000139361.30327.20.

Schaefer, L.A., & Schaefer, A.J. (2004). Locating hybrid fuel cell-turbine power generation units under uncertainty. ANNALS OF OPERATIONS RESEARCH, 132(1-4), 301-322.Springer Science and Business Media LLC. doi: 10.1023/B:ANOR.0000045288.72359.de.

Schaefer, L.A., & Schaefer, A.J. (2004). Locating Hybrid Fuel Cell-Turbine Power Generation Units Under Uncertainty. Annals of Operations Research, 132, 301-332.

Smith, J.C., Schaefer, A.J., & Yen, J.W. (2004). A stochastic integer programming approach to solving a synchronous optical network ring design problem. NETWORKS, 44(1), 12-26.Wiley. doi: 10.1002/net.20009.

Rosenberger, J.M., Schaefer, A.J., Goldsman, D., Johnson, E.L., Kleywegt, A.J., & Nemhauser, G.L. (2002). A stochastic model of airline operations. TRANSPORTATION SCIENCE, 36(4), 357-377.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/trsc.36.4.357.551.

Bountourelis, T., Eckman, D., Luangkesorn, L., Schaefer, A., Nabors, S.G., & Clermont, G. (2012). Sensitivity analysis of an ICU simulation model. In Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC).IEEE. doi: 10.1109/wsc.2012.6465121.

Luangkesorn, K.L., Bountourelis, T., Schaefer, A., Nabors, S., & Clermont, G. (2012). The case against utilization: Deceptive performance measures in inpatient care capacity models. In Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC).IEEE. doi: 10.1109/wsc.2012.6465104.

Bountourelis, T., Luangkesorn, L., Schaefer, A., Maillart, L., Nabors, S.G., & Clermont, G. (2011). Development and validation of a large scale ICU simulation model with blocking. In Proceedings of the 2011 Winter Simulation Conference (WSC), (pp. 1143-1153).IEEE. doi: 10.1109/wsc.2011.6147837.

Iyer, A.K., Zenarosa, G.L., Schaefer, A.J., Chang, C.C.H., Bryce, C.L., & Roberts, M.S. (2011). A biologically based discrete-event simulation model of liver transplantation in the United States for pediatric and adult patients. In Proceedings of the 2011 Winter Simulation Conference (WSC), (pp. 1275-1282).IEEE.Phoenix, AZ. doi: 10.1109/wsc.2011.6147848.

Shylo, O.V., Luangkesorn, L., Prokopyev, O.A., Rajgopal, J., & Schaefer, A. (2011). Managing patient backlog in a surgical suite that uses a block-booking scheduling system. In Proceedings of the 2011 Winter Simulation Conference (WSC), (pp. 1314-1324).IEEE. doi: 10.1109/wsc.2011.6147852.

Koppenhaver, R.T., Schaefer, A., Braithwaite, R.S., & Roberts, M. (2009). A simulation model of HIV treatment under drug scarcity constraints. In Proceedings of the 2009 Winter Simulation Conference (WSC), (pp. 2090-2095).IEEE. doi: 10.1109/wsc.2009.5429643.

Sandikci, B., Maillart, L.M., Schaefer, A.J., Alagoz, O., & Roberts, M.S. (2008). Estimating the Patient's Price of Privacy in Liver Transplantation. In OPERATIONS RESEARCH, 56(6), (pp. 1393-1410).Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/opre.1080.0648.

Wang, Z., Rajgopal, J., & Schaefer, A.J. (2006). An efficient heuristic for location/distribution decisions with remnant inventories. In 2006 IIE Annual Conference and Exhibition.

Alagoz, O., Roberts, M.S., Schaefer, A.J., & Maillart, L.M. (2004). When to accept a living-donor liver. In IIE Annual Conference and Exhibition 2004, (p. 1127).

Demirci, M.C., Hunsaker, B., Schaefer, A.J., & Rosenberger, J. (2004). Column generation within stochastic programming. In IIE Annual Conference and Exhibition 2004, (p. 171).

Hunsaker, B., Kong, N., & Schaefer, A.J. (2004). Optimizing regions for organ transplants. In IIE Annual Conference and Exhibition 2004, (p. 1337).

Olsen, S., Schaefer, A., Rajgopal, J., & Boros, S. (2004). Evaluation of operating policies for remnant inventory systems via simulation. In IIE Annual Conference and Exhibition 2004, (pp. 1579-1584).

Rajgopal, J., Schaefer, A., & Wang, Z. (2004). A linear model for controlling remnant inventory supply chains. In IIE Annual Conference and Exhibition 2004, (p. 1309).

Shechter, S.M., Schaefer, A.J., Braithwaite, R.S., & Roberts, M.S. (2004). Modeling the progression and treatment of HIV. In Proceedings - Winter Simulation Conference, 2, (pp. 2039-2044).

Kreke, J., Schaefer, A.J., Angus, D.C., Bryce, C.L., & Roberts, M.S. (2002). Incorporating biology into discrete event simulation models of organ allocation. In Winter Simulation Conference Proceedings, 1, (pp. 532-536).IEEE Publications.

Rosenberger, J.M., Schaefer, A.J., Goldsman, D., Johnson, E.L., Kleywegt, A.J., & Nemhauser, G.L. (2000). SimAir: a stochastic model of airline operations. In 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165), 2, (pp. 1118-1122).IEEE. doi: 10.1109/wsc.2000.899074.

Research interests

Healthcare
Integer Programming
Operations Research
Optimization
Stochastic Programming