Maria Mayorga

Paret, K., Rodriguez, S. A., Mayorga, M. E., Velotti, L., & Lodree, E. J. (2023). Agent-Based Simulation of Spontaneous Volunteer Convergence to Improve Disaster Planning. NATURAL HAZARDS REVIEW, 24(2). https://doi.org/10.1061/NHREFO.NHENG-1659

Li, R., Tobey, M., Mayorga, M. E., Caltagirone, S., & Ozaltin, O. Y. (2023, February 22). Detecting Human Trafficking: Automated Classification of Online Customer Reviews of Massage Businesses. M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, Vol. 2. https://doi.org/10.1287/msom.2023.1196

Meghan. C. C. O'Leary, Lich, K. H., Mayorga, M. E. E., Hicklin, K., Davis, M. M. M., Brenner, A. T. T., … Wheeler, S. B. B. (2023, May 6). Engaging stakeholders in the use of an interactive simulation tool to support decision-making about the implementation of colorectal cancer screening interventions. CANCER CAUSES & CONTROL, Vol. 5. https://doi.org/10.1007/s10552-023-01692-0

Howerton, E., Contamin, L., Mullany, L. C., Qin, M., Reich, N. G., Bents, S., … Lessler, J. (2023). Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty. NATURE COMMUNICATIONS, 14(1). https://doi.org/10.1038/s41467-023-42680-x

Sharkey, T. C., Keskin, B. B., Konrad, R., & Mayorga, M. E. (2023, October 18). Introduction to the Special Issue on Analytical Methods for Detecting, Disrupting, and Dismantling Illicit Operations. IISE TRANSACTIONS, Vol. 10. https://doi.org/10.1080/24725854.2023.2271536

Paramita, N. L. P. S. P., Agor, J. K., Mayorga, M. E., Ivy, J. S., Miller, K. E., & Ozaltin, O. Y. (2023). Quantifying association and disparities between diabetes complications and COVID-19 outcomes: A retrospective study using electronic health records. PLOS ONE, 18(9). https://doi.org/10.1371/journal.pone.0286815

Nambiar, S., Mayorga, M. E., & Liu, Y. (2023). Routing and staffing in emergency departments: A multiclass queueing model with workload dependent service times. IISE TRANSACTIONS ON HEALTHCARE SYSTEMS ENGINEERING, 13(1), 46–61. https://doi.org/10.1080/24725579.2022.2100522

Hicklin, K., Meghan C. O'Leary, Nambiar, S., Mayorga, M. E., Wheeler, S. B., Davis, M. M., … Lich, K. H. (2022). Assessing the impact of multicomponent interventions on colorectal cancer screening through simulation: What would it take to reach national screening targets in North Carolina. PREVENTIVE MEDICINE, 162. https://doi.org/10.1016/j.ypmed.2022.107126

Rosenstrom, E. T., Ivy, J. S., Mayorga, M. E., & Swann, J. L. (2022). COULD EARLIER AVAILABILITY OF BOOSTERS AND PEDIATRIC VACCINES HAVE REDUCED IMPACT OF COVID-19? 2022 WINTER SIMULATION CONFERENCE (WSC), pp. 1092–1103. https://doi.org/10.1109/WSC57314.2022.10015236

Biddell, C. B. B., Johnson, K. T. T., Patel, M. D. D., Smith, R. L. L., Hecht, H. K. K., Swann, J. L. L., … Lich, K. H. (2022). Cross-sector decision landscape in response to COVID-19: A qualitative network mapping analysis of North Carolina decision-makers. FRONTIERS IN PUBLIC HEALTH, 10. https://doi.org/10.3389/fpubh.2022.906602

Shi, L., Mayorga, M., Su, D., Li, Y., Martin, E., & Zhang, D. (2022). GENERATION 1.5: YEARS IN THE UNITED STATES AND OTHER FACTORS AFFECTING SMOKING BEHAVIORS AMONG ASIAN AMERICANS. ETHNICITY & DISEASE, 32(2), 75–80. https://doi.org/10.18865/ed.32.2.75

Tobey, M., Li, R., Ozaltin, O. Y., Mayorga, M. E., & Caltagirone, S. (2022, August 28). Interpretable models for the automated detection of human trafficking in illicit massage businesses. IISE TRANSACTIONS, Vol. 8. https://doi.org/10.1080/24725854.2022.2113187

Zhang, Y., Mayorga, M. E., Ivy, J., Lich, K. H., & Swann, J. L. (2022). Modeling the Impact of Nonpharmaceutical Interventions on COVID-19 Transmission in K-12 Schools. MDM POLICY & PRACTICE, 7(2). https://doi.org/10.1177/23814683221140866

Johnson, K., Biddell, C. B. B., Hecht, H. K. K., Lich, K. H. H., Swann, J., Delamater, P., … Patel, M. D. D. (2022, November 18). Organizational decision-making during COVID-19: A qualitative analysis of the organizational decision-making system in the United States during COVID-19. JOURNAL OF CONTINGENCIES AND CRISIS MANAGEMENT, Vol. 11. https://doi.org/10.1111/1468-5973.12437

Swan, B. P., Mayorga, M. E., & Ivy, J. S. (2022). The SMART Framework: Selection of Machine Learning Algorithms With ReplicaTions-A Case Study on the Microvascular Complications of Diabetes. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 26(2), 809–817. https://doi.org/10.1109/JBHI.2021.3094777

Townsley, R. M., Koutouan, P. R., Mayorga, M. E., Mills, S. D., Davis, M. M., & Hasmiller Lich, K. (2022, May 11). When History and Heterogeneity Matter: A Tutorial on the Impact of Markov Model Specifications in the Context of Colorectal Cancer Screening. MEDICAL DECISION MAKING, Vol. 5. https://doi.org/10.1177/0272989X221097386

Paret, K. E., Mayorga, M. E., & Lodree, E. J. (2021). Assigning spontaneous volunteers to relief efforts under uncertainty in task demand and volunteer availability. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 99. https://doi.org/10.1016/j.omega.2020.102228

Patel, M. D., Rosenstrom, E., Ivy, J. S., Mayorga, M. E., Keskinocak, P., Boyce, R. M., … Swann, J. L. (2021). Association of Simulated COVID-19 Vaccination and Nonpharmaceutical Interventions With Infections, Hospitalizations, and Mortality. JAMA NETWORK OPEN, 4(6). https://doi.org/10.1001/jamanetworkopen.2021.10782

Ju, S., Kim, Y. J., Ausin, M. S., Mayorga, M. E., & Chi, M. (2021). To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning. 2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 1640–1646. https://doi.org/10.1109/BigData52589.2021.9671407

Swan, B., Nambiar, S., Koutouan, P., Mayorga, M. E., Ivy, J., & Fransen, S. (2020). EVALUATING DIABETIC RETINOPATHY SCREENING INTERVENTIONS IN A MICROSIMULATION MODEL. 2020 WINTER SIMULATION CONFERENCE (WSC), pp. 944–955. https://doi.org/10.1109/WSC48552.2020.9384074

McKenzie, K. E., Mayorga, M. E., Miller, K. E., Singh, N., Arnold, R. C., & Romero-Brufau, S. (2020). [Review of Notice to comply: A systematic review of clinician compliance with guidelines surrounding acute hospital-based infection management]. AMERICAN JOURNAL OF INFECTION CONTROL, 48(8), 940–947. https://doi.org/10.1016/j.ajic.2020.02.006

Velasquez, G. A., Mayorga, M. E., & Ozaltin, O. Y. (2020). Prepositioning disaster relief supplies using robust optimization. IISE TRANSACTIONS, 52(10), 1122–1140. https://doi.org/10.1080/24725854.2020.1725692

Powell, W., Frerichs, L., Townsley, R., Mayorga, M., Richmond, J., Corbie-Smith, G., … Lich, K. H. (2020). The potential impact of the Affordable Care Act and Medicaid expansion on reducing colorectal cancer screening disparities in African American males. PLOS ONE, 15(1). https://doi.org/10.1371/journal.pone.0226942

Diaz-Garelli, F., Strowd, R., Lawson, V. L., Mayorga, M. E., Wells, B. J., Lycan, T. W., Jr., & Topaloglu, U. (2020). Workflow Differences Affect Data Accuracy in Oncologic EHRs: A First Step Toward Detangling the Diagnosis Data Babel. JCO CLINICAL CANCER INFORMATICS, 4, 529–538. https://doi.org/10.1200/CCI.19.00114

Pearce, B. W., Antani, K., Mears, L., Funk, K., Mayorga, M. E., & Kurz, M. E. (2019). An effective integer program for a general assembly line balancing problem with parallel workers and additional assignment restrictions. Journal of Manufacturing Systems, 50, 180–192. https://doi.org/10.1016/J.JMSY.2018.12.011

Meghan C. O'Leary, Lich, K. H., Gu, Y., Wheeler, S. B., Coronado, G. D., Bartelmann, S. E., … Davis, M. M. (2019). [Review of Colorectal cancer screening in newly insured Medicaid members: a review of concurrent federal and state policies]. BMC HEALTH SERVICES RESEARCH, 19. https://doi.org/10.1186/s12913-019-4113-2

Lich, K. H., Meghan C. O'Leary, Nambiar, S., Townsley, R. M., Mayorga, M. E., Hicklin, K., … Wheeler, S. B. (2019). Estimating the impact of insurance expansion on colorectal cancer and related costs in North Carolina: A population-level simulation analysis. PREVENTIVE MEDICINE, 129. https://doi.org/10.1016/j.ypmed.2019.105847

Enayati, S., Mayorga, M. E., Toro-Diaz, H., & Albert, L. A. (2019). Identifying trade-offs in equity and efficiency for simultaneously optimizing location and multipriority dispatch of ambulances. INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, 26(2), 415–438. https://doi.org/10.1111/itor.12590

Davis, M. M., Nambiar, S., Mayorga, M. E., Sullivan, E., Hicklin, K., Meghan C. O'Leary, … Wheeler, S. B. (2019). Mailed FIT (fecal immunochemical test), navigation or patient reminders? Using microsimulation to inform selection of interventions to increase colorectal cancer screening in Medicaid enrollees. PREVENTIVE MEDICINE, 129. https://doi.org/10.1016/j.ypmed.2019.105836

Fishbein, D., Nambiar, S., McKenzie, K., Mayorga, M., Miller, K., Tran, K., … Capan, M. (2019). [Review of Objective measures of workload in healthcare: a narrative review]. INTERNATIONAL JOURNAL OF HEALTH CARE QUALITY ASSURANCE, 33(1), 1–17. https://doi.org/10.1108/IJHCQA-12-2018-0288

Velasquez, G. A., Mayorga, M. E., & Cruz, E. A. R. (2019). Prepositioning inventory for disasters: a robust and equitable model. OR SPECTRUM, 41(3), 757–785. https://doi.org/10.1007/s00291-019-00554-z

Enayati, S., Ozaltin, O. Y., Mayorga, M. E., & Saydam, C. (2018). Ambulance redeployment and dispatching under uncertainty with personnel workload limitations. IISE TRANSACTIONS, 50(9), 777–788. https://doi.org/10.1080/24725854.2018.1446105

Maillart, L. M., & Mayorga, M. E. (2018, September). Introduction to the Special Issue on Advancing Health Services. SERVICE SCIENCE, Vol. 10, pp. V-VII. https://doi.org/10.1287/serv.2018.0225

Nasrollahzadeh, A. A., Khademi, A., & Mayorga, M. E. (2018). Real-Time Ambulance Dispatching and Relocation. Manufacturing & Service Operations Management, 20(3), 467–480. https://doi.org/10.1287/msom.2017.0649

Enayati, S., Mayorga, M. E., Rajagopalan, H. K., & Saydam, C. (2018). Real-time ambulance redeployment approach to improve service coverage with fair and restricted workload for EMS providers. Omega, 79, 67–80. https://doi.org/10.1016/j.omega.2017.08.001

Ansari, S., McLay, L. A., & Mayorga, M. E. (2017). A Maximum Expected Covering Problem for District Design. Transportation Science, 51(1), 376–390. https://doi.org/10.1287/trsc.2015.0610

Yi, Z., Mayorga, M. E., Lich, K. H., & Pearson, J. L. (2017). Changes in cigarette smoking initiation, cessation, and relapse among US adults: a comparison of two longitudinal samples. TOBACCO INDUCED DISEASES, 15. https://doi.org/10.1186/s12971-017-0121-3

Hassmiller Lich, K., Cornejo, D. A., Mayorga, M. E., Pignone, M., Tangka, F. K. L., Richardson, L. C., … Wheeler, S. B. (2017). Cost-Effectiveness Analysis of Four Simulated Colorectal Cancer Screening Interventions, North Carolina. Preventing Chronic Disease, 14. https://doi.org/10.5888/pcd14.160158

Townsley, R. M., Mayorga, M. E., Barritt IV, A. S., & Orman, E. (2017). Forecasting Recipient Outcomes of Deceased Donor Livers. In Stochastic Modeling and Analytics in Healthcare Delivery Systems (pp. 189–209). https://doi.org/10.1142/9789813220850_0008

Wheeler, S. B., Kuo, T.-M., Meyer, A. M., Martens, C. E., Hassmiller Lich, K. M., Tangka, F. K. L., … Pignone, M. P. (2017). Multilevel predictors of colorectal cancer testing modality among publicly and privately insured people turning 50. Preventive Medicine Reports, 6, 9–16. https://doi.org/10.1016/j.pmedr.2016.11.019

Agor, J., McKenzie, K., Mayorga, M., Ozaltin, O., Parikh, R. S., & Huddleston, J. (2017). Simulating triage of patients into an internal medicine department to validate the use of an optimization-based workload score. 2017 winter simulation conference (wsc), 2881–2892. https://doi.org/10.1109/wsc.2017.8248011

Mayorga, M. E., Lodree, E. J., & Wolczynski, J. (2017). The optimal assignment of spontaneous volunteers. Journal of the Operational Research Society, 68(9), 1106–1116. https://doi.org/10.1057/s41274-017-0219-2

Yi, Z., Mayorga, M. E., Orman, E. S., Wheeler, S. B., Hayashi, P. H., & Barritt, A. S., 4th. (2017). Trends in Characteristics of Patients Listed for Liver Transplantation Will Lead to Higher Rates of Waitlist Removal Due to Clinical Deterioration. Transplantation, 101(10), 2368–2374. https://doi.org/10.1097/TP.0000000000001851

Mayorga, M. E., Reifsnider, O. S., Wheeler, S. B., & Kohler, R. E. (2016). A Discrete event simulation model to estimate population level health and economic impacts of smoking cessation interventions. 2016 10th european conference on antennas and propagation (eucap), 1257–1268.

Goodarzi, S. H., McKenzie, K., Nataraj, N., Ivy, J. S., Mayorga, M., Mason, J., & Tejada, J. (2016). A Framework for modeling the complex interaction between breast cancer and diabetes. 2016 10th european conference on antennas and propagation (eucap), 1245–1256. https://doi.org/10.1109/wsc.2014.7019981

Sudtachat, K., Mayorga, M. E., & Mclay, L. A. (2016). A nested-compliance table policy for emergency medical service systems under relocation. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 58, 154–168. https://doi.org/10.1016/j.omega.2015.06.001

Zaffar, M. A., Rajagopalan, H. K., Saydam, C., Mayorga, M., & Sharer, E. (2016). Coverage, survivability or response time: A comparative study of performance statistics used in ambulance location models via simulation–optimization. Operations Research for Health Care, 11, 1–12. https://doi.org/10.1016/j.orhc.2016.08.001

Cornejo, D., Mayorga, M. E., & Lich, K. H. (2016). Creating common patients and evaluating indiviual results: issues in indivual simulation for health policy analysis. 2016 10th european conference on antennas and propagation (eucap), 1387–1398.

Agor, J., McKenzie, K., Ozaltin, O., Mayorga, M., Parikh, R. S., & Huddleston, J. (2016). Simulation of triaging patients into an internal medicine department to validate the use of an optimization based workload score. 2016 winter simulation conference (wsc), 0, 3708–3709. https://doi.org/10.1109/wsc.2016.7822411

Yi, Z. A., Mayorga, M., Wheeler, S. B., Hayashi, P. H., Barritt, A. S., & Orman, E. S. (2016). The numbers of new waitlist registrants and removals are outpacing the number of liver transplants: National trends and regional variation from 2003 through 2014. Hepatology, 64, 701A–701.

Orman, E. S., Mayorga, M. E., Wheeler, S. B., Townsley, R. M., Toro-Diaz, H. H., Hayashi, P. H., & Sidney Barritt, A., IV. (2015). Declining liver graft quality threatens the future of liver transplantation in the United States. Liver Transplantation, 21(8), 1040–1050. https://doi.org/10.1002/lt.24160

Lynch, C. P., Baker, N., Korte, J. E., Mauldin, J. G., Mayorga, M. E., & Hunt, K. J. (2015). Increasing Prevalence of Diabetes During Pregnancy in South Carolina. Journal of Women’s Health, 24(4), 316–323. https://doi.org/10.1089/jwh.2014.4968

Toro-Díaz, H., Mayorga, M. E., McLay, L. A., Rajagopalan, H. K., & Saydam, C. (2015). Reducing disparities in large-scale emergency medical service systems. Journal of the Operational Research Society, 66(7), 1169–1181. https://doi.org/10.1057/jors.2014.83

Mayorga, M. E., Reifsnider, O. S., Yi, Z., & Hunt, K. J. (2015). Trends in BMI and obesity in U.S. women of childbearing age during the period of 1980–2010. Health Systems, 4(3), 176–186. https://doi.org/10.1057/hs.2014.29

Chanta, S., Mayorga, M. E., & McLay, L. A. (2014). Improving emergency service in rural areas: a bi-objective covering location model for EMS systems. Annals of Operations Research, 221(1), 133–159. https://doi.org/10.1007/s10479-011-0972-6

Toro-Díaz, H., Mayorga, M. E., Barritt, A. S., Orman, E. S., & Wheeler, S. B. (2014). Predicting Liver Transplant Capacity Using Discrete Event Simulation. Medical Decision Making, 35(6), 784–796. https://doi.org/10.1177/0272989x14559055

Bandara, D., Mayorga, M. E., & McLay, L. A. (2014). Priority dispatching strategies for EMS systems. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 65(4), 572–587. https://doi.org/10.1057/jors.2013.95

Sudtachat, K., Mayorga, M. E., & McLay, L. A. (2014). Recommendations for dispatching emergency vehicles under multitiered response via simulation. INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, 21(4), 581–617. https://doi.org/10.1111/itor.12083

Chanta, S., Mayorga, M. E., & McLay, L. A. (2014). The minimum p-envy location problem with requirement on minimum survival rate. COMPUTERS & INDUSTRIAL ENGINEERING, 74, 228–239. https://doi.org/10.1016/j.cie.2014.06.001

McLay, L. A., & Mayorga, M. E. (2013). A Dispatching Model for Server-to-Customer Systems That Balances Efficiency and Equity. Manufacturing & Service Operations Management, 15(2), 205–220. https://doi.org/10.1287/msom.1120.0411

McLay, L. A., & Mayorga, M. E. (2013). A model for optimally dispatching ambulances to emergency calls with classification errors in patient priorities. IIE Transactions, 45(1), 1–24. https://doi.org/10.1080/0740817x.2012.665200

Mayorga, M. E., Ahn, H.-S., & Aydin, G. (2013). Assortment and inventory decisions with multiple quality levels. Annals of Operations Research, 211(1), 301–331. https://doi.org/10.1007/s10479-013-1456-7

Mayorga, M. E., Bandara, D., & McLay, L. A. (2013). Districting and dispatching policies for emergency medical service systems to improve patient survival. IIE Transactions on Healthcare Systems Engineering, 3(1), 39–56. https://doi.org/10.1080/19488300.2012.762437

Toro-Díaz, H., Mayorga, M. E., Chanta, S., & McLay, L. A. (2013). Joint location and dispatching decisions for Emergency Medical Services. Computers & Industrial Engineering, 64(4), 917–928. https://doi.org/10.1016/j.cie.2013.01.002

Childers, A. K., Mayorga, M. E., & Taaffe, K. M. (2013). Prioritization strategies for patient evacuations. Health Care Management Science, 17(1), 77–87. https://doi.org/10.1007/s10729-013-9236-0

Mayorga, M., Reifsnider, O. S., Neyens, D. M., Gebregziabher, M. G., & Hunt, K. J. (2013). Simulated estimates of pre-pregnancy and gestational diabetes mellitus in the US: 1980 to 2008. PLoS One, 8(9). https://doi.org/10.1371/journal.pone.0073437

McElreath, M. H., & Mayorga, M. E. (2012). A dynamic programming approach to solving the assortment planning problem with multiple quality levels. Computers & Operations Research, 39(7), 1521–1529. https://doi.org/10.1016/j.cor.2011.08.023

Truong, K. D., Reifsnider, O. S., Mayorga, M. E., & Spitler, H. (2012). Estimated Number of Preterm Births and Low Birth Weight Children Born in the United States Due to Maternal Binge Drinking. Maternal and Child Health Journal, 17(4), 677–688. https://doi.org/10.1007/s10995-012-1048-1

Hunt, K. J., Marlow, N. M., Gebregziabher, M., Ellerbe, C. N., Mauldin, J., Mayorga, M. E., & Korte, J. E. (2012). Impact of maternal diabetes on birthweight is greater in non-Hispanic blacks than in non-Hispanic whites. Diabetologia, 55(4), 971–980. https://doi.org/10.1007/s00125-011-2430-z

Hunt, K. J., Alanis, M. C., Johnson, E. R., Mayorga, M. E., & Korte, J. E. (2012). Maternal Pre-Pregnancy Weight and Gestational Weight Gain and Their Association with Birthweight with a Focus on Racial Differences. Maternal and Child Health Journal, 17(1), 85–94. https://doi.org/10.1007/s10995-012-0950-x

Leclerc, P. D., McLay, L. A., & Mayorga, M. E. (2012). Modeling equity for allocation in public resources. In M. Johnson (Ed.), Community-Based Operations Research: Decision Modeling for Local Impact and Diverse Populations (1st ed., pp. 97–118). New York: Springer.

Bandara, D., Mayorga, M. E., & McLay, L. A. (2012). Optimal dispatching strategies for emergency vehicles to increase patient survivability. International Journal of Operational Research, 15(2), 195. https://doi.org/10.1504/ijor.2012.048867

Bhattacharyya, G., Mayorga, M. E., & Melloy, B. (2011). A Phenomenographic Analysis of Three Real-World Experiences in Clemson University’s Industrial Engineering Program. Journal of Applications and Practices in Engineering Education.

McLay, L. A., & Mayorga, M. E. (2011). Evaluating the impact of performance goals on dispatching decisions in emergency medical service. IIE Transactions on Healthcare Systems Engineering, 1(3), 185–196. https://doi.org/10.1080/19488300.2011.618820

Mayorga, M. E., & Ahn, H.-S. (2011). Joint management of capacity and inventory in make-to-stock production systems with multi-class demand. European Journal of Operational Research, 212(2), 312–324. https://doi.org/10.1016/j.ejor.2011.01.047

Chanta, S., Mayorga, M. E., Kurz, M. E., & McLay, L. A. (2011). The minimump-envy location problem: a new model for equitable distribution of emergency resources. IIE Transactions on Healthcare Systems Engineering, 1(2), 101–115. https://doi.org/10.1080/19488300.2011.609522

Mayorga, M. E., & Subramanian, R. (2010). Factoring environmental concerns in supply chain decision making. International Journal of Business and Systems Research, 4(4), 469. https://doi.org/10.1504/ijbsr.2010.033424

McElreath, M. H., Mayorga, M. E., & Kurz, M. E. (2010). Metaheuristics for assortment problems with multiple quality levels. Computers & Operations Research, 37(10), 1797–1804. https://doi.org/10.1016/j.cor.2010.01.011

McDonnell, D., Mayorga, M. E., Benson, L., & Mears, L. (2010). Stepping Out of Academics: The Effect of Authentic Learning Experiences on Attitudes of IE Students. Journal of Applications and Practices in Engineering Education, 1(2).

Mayorga, M. E., Taaffe, K. M., & Arumugam, R. (2009). Allocating flexible servers in serial systems with switching costs. Annals of Operations Research, 172(1), 231–242. https://doi.org/10.1007/s10479-009-0575-7

McLay, L. A., & Mayorga, M. E. (2009). Evaluating emergency medical service performance measures. Health Care Management Science, 13(2), 124–136. https://doi.org/10.1007/s10729-009-9115-x

Mayorga, M. E., & Subramanian, R. (2009). Incorporating Environmental Concerns in Supply Chain Optimization. In Environmentally Conscious Materials Handling (pp. 117–135). https://doi.org/10.1002/9780470432730.ch4

Arumugam, R., Mayorga, M. E., & Taaffe, K. M. (2008). Inventory based allocation policies for flexible servers in serial systems. Annals of Operations Research, 172(1), 1–23. https://doi.org/10.1007/s10479-008-0465-4

Mayorga, M. E., Ahn, H.-S., & Shanthikumar, J. G. (2006). Optimal control of a make-to-stock system with adjustable service rate. Probability in the Engineering and Informational Sciences, 20(4), 609–634. https://doi.org/10.1017/s0269964806060384