Papers organized by area (Mark Van Oyen)

Research Papers of Mark P. Van Oyen            Rev  4-9-2021

Organized by Area:

  1. Healthcare Operations Management and Engineering:
  2. Medical Decision Making (Personalized)
  3. Flexible Operations (-labor, -supply chain)
  4. Policies for Production Models (Service & Mfg.)
  5. Logistics & Humanitarian Operations

1. Healthcare Operations Management and Engineering:  (underlining indicates a mentored student)

  • Under Review:
    • Keyvanshokooh, M. Fattahi, MP. Van Oyen, K.A. Freedberg, P. Kazemian (2020), Data-driven Adaptive Robust Optimization for Resource Sharing During a Pandemic: Application to COVID-19, Major Revision at Production & Operations Management (Special Issue on Managing Pandemics), (collaboration with Massachusetts General Hospital and Harvard Medical School).
    • Zhalechian, E. Keyvanshokooh, C. Shi, MP. Van Oyen (2020), Personalized Hospital Admission Control: A Contextual Learning Approach, 2nd round review  at  Operations  Research
    • Keyvanshokooh, E., Kazemian, M. Fattahy, M.P. Van Oyen, Coordinated and Priority- based Surgical Care: An Integrated Distributionally Robust Stochastic Optimization Approach, Minor Revision at Production and Operations Management (POM).
    • Meisami, A., A. Dean, Lam, M.P. Van Oyen, C. Stromblad, N. Kastango, Quantile Regression Forests for Individualized Surgery Scheduling, 3rd Round Review, Healthcare Management Science (HCMS) 2019.
    • Liu, Y., P. Shi, E. Helm, M.P. Van Oyen, L. Ying, T. Huschka, Coordinated Care: Capacity Allocation to Improve Itinerary Completion in Queueing Networks, 2nd round review with Operations Research, March 2020
    • Working papers:
      • Dean, A., M. Zhalechian, P. Van Oyen Optimizing Hospital Care Unit Placements with Personalization and Contextual Learning. Working paper, 2021
      • Zhalechian, M., E. Keyvanshokooh, and M.P. Van Oyen A Distributionally Robust Capacity Planning Model for Optimizing Access Delay in Surgical Services Under Limited Information. Working paper,
      • Meisami, A., Stromblad, N. Kastango, M.P. Van Oyen, R.S. Wilson, and N.R. Abu-Rustum, Towards individualized care delivery planning: Big data analytics and surgical case duration prediction. working paper, 2017
  • Keyvanshokooh, E., Shi, and M.P. Van Oyen, Online advance scheduling with overtime: A primal-dual approach, Manufacturing and Service Operations Management (MSOM), 2019. https://doi.org/10.1287/msom.2019.0832 (Winner of Richard C. Wilson Best Student Paper Award on Service Systems, 2019.)
  • Bam, M., Z. Zhang, B.T. Denton, M.G. Duck, and M.P. Van Oyen, “Planning Models for Skills-sensitive Surgical Nurse Staffing: A Case Study at a Large Academic Medical Center” accepted to IISE Trans. on Healthcare Systems Engr. 2020, DOI 10.1080/24725579.2020.1805050
  • Deglise-Hawkinson, J, David L. Kaufman, B.J. Roessler, and M.P. Van Oyen, Access Planning and Resource Coordination for Clinical Research Operations, IISE Transactions, 52:8, doi.org/10.1080/24725854.2019.1675202 (NIHMS1543900 – PMID) 2nd Place Best Paper Award, 2013 POMS College of Healthcare Operations Management of POMS, “Operational Planning Models with Service Pathways: Project Portfolio for Phase 1 Trials,” by J. Deglise-Hawkinson, B.J. Roessler, and M.P. Van Oyen.
  • Deglise-Hawkinson, J, J.E. Helm, Huschka, D. Kaufman, and M.P. Van Oyen, “A Capacity Allocation Planning Model for Integrated Care and Access Management. Production and Operations Management (POM), 27:12, 2270-2290, 2018. https://doi.org/10.1111/poms.12941
  • Meisami, A., J. Deglise-Hawkinson, Cowen, and M.P. Van Oyen, “Optimal patient care resource allocation based on patient mortality risk and acuity,” Health Care Management Science (HCMS), 22:2, 318-335, 2018. https//doi.org/10.1007/s10729-018-9439-5
  • Bam, M.,T. Denton, and M.P. Van Oyen, “Surgery Scheduling with Recovery Resources,” IISE Transactions, 49:10 (2017) http://dx.doi.org/10.1080/24725854.2017.1325027  Honorable mention, IISE Transactions 2019 best applications paper in operations engineering and analytics
  • Kazemian, P., M.Y. Sir, M.P. Van Oyen, J. Lovely, D. Larson, K. Pasupathy, “Coordinating Clinic and Surgery Appointments to Meet Access Service Levels for Elective Surgery,” of Biomedical Informatics 66, 105-115, 2017. dx.doi.org/10.1016/j.jbi.2016.11.007 PMID: 27993748
  • Helm, J.E., and M.P. Van Oyen, Design and optimization methods for elective hospital admissions, Operations Research, 62:6, (2015) 1265-1282. (Won 1st prize POMS CHOM Best Paper; 2011 IOE Katta Murty Prize for the Best Research Paper on Optimization)  http://dx.doi.org/10.1287/opre.2014.1317
  • Saghafian, S., W. Hopp, M.P. Van Oyen, J.S. Desmond, and S. Kronick, Complexity-Augmented Triage: A Tool for Improving Patient Safety and Operational Efficiency, Manufacturing and Service Operations Management (MSOM), 16:3, (2014) 329-45. DOI 10.1287/msom.2014.0487 (best paper in MSOM journal among all published in the prior three years (2013-2015); won First prize 2012 INFORMS MSOM student paper competition, won Univ. of Michigan College of Engineering 2011 Outstanding Ph.D. Research Award to advisee S. Saghafian, unanimously selected by the editors of the MSOM journal chosen as one of five representing the best work in MSOM, distributed to Deans and Department Heads to promote the journal). Won the 2016 Manufacturing and Service Operations Management (MSOM) Best Published Paper award of Service Special Interest Group (SIG), Top 5 Finalist in the 2011 Doing Good with Good OR Prize, INFORMS Society, awarded to Saghafian
  • Kazemian, P., Y. Dong, T.R. Rohleder, E. Helm, and M.P. Van Oyen, An IP-based Handoff-sensitive Shift Design Approach for Scheduling Critical Care Trainees, Health Care Management Science (HCMS), 17:1, (2014) 1-14. DOI: 10.1007/s10729-013-9237-z PMID: 23624640
  • Saghafian, S., W. Hopp, M.P. Van Oyen, J.S. Desmond (M.D.), and S.L. Kronick (M.D.), Patient Streaming as a Mechanism for Improving Responsiveness in Emergency Departments, Operations Research 60:5, (2012) 1080-97. (Won INFORMS Pierskalla Award, Best Paper 2011, Second Place, Best Paper Award, 2011 College of Healthcare Operations Management of the POMS.
  • Helm, J., S. AhmadBeygi, and M.P. Van Oyen, Design and Analysis of Hospital Admission Control for Operational Effectiveness, Production and Operations Management (POMS), 20:3, (2011) 359-374.

2. Medical Decision Making (Personalized)

  • Working papers:
    • Jones, I.A., Bommakanti, E. Keyvanshokooh, M.P. Van Oyen, M.S. Lavieri, C. Andrews, C. E. Keyvanshokooh, M.P. Van Oyen, M. Lavieri, C. Andrew, J. Stein (2020), Prediction of Progression to Open-Angle Glaucoma by Machine Learning for Patients in the Ocular Hypertension Treatment Study, almost complete, targeting American Journal of Ophthalmology.
    • L.L. Czerniak, L.J. DeRoos, M.S. Lavieri, M.P. Van Oyen, C.A. Andrews, J.D. Stein (2021). Machine Learning Methods to Predict Global Retinal Nerve Fiber Layer Thickness in a Diverse Cohort of Glaucoma Patients.
    • N. Bommakanti, I.A. Jones, M.P Van Oyen, M.S. Lavieri, C. Andrews, Johnson, M. O. Gordon, M.A. Kass, JD Stein, Predictive modeling of conversion to POAG in the OHTS study. Working Paper.
    • Bommakanti, I.A. Jones, M.P Van Oyen, M.S. Lavieri, Chris Andrews, C. Johnson, M.O. Gordon, M.A. Kass, J.D. Stein, A comparison of VF criteria for assessing conversion to POAG  in the OHTS study. Working Paper. (collaboration with Kellogg Eye Center).
    • Zhalechian, M.P. Van Oyen, M.S. Lavieri, C.G.De Moraes, C.A. Girkin, M.A. Fazio, R.N. Weinreb, C. Bowd, J.M. Liebman, L.M. Zangwill. C. A. Andrews, J.D. Stein, Kalman Filtering Based Machine Learning to Predict Future Mean Deviation Values for Patients with Glaucoma–Enhancing Existing Models Using Data from Optical Coherence Tomography. A Study Using Data from ADAGES and DIGS.  Working paper.
  • Keyvanshokooh, E., M. Zhalechian, Shi, M.P. Van Oyen, and P. Kazemian, Contextual Learning with Online Convex Optimization: Theory and Application to Chronic Diseases. 2nd round review at Management Science 2019. (collaboration with Massachusetts General Hospital & Harvard.  Finalist, INFORMS Decision Analysis Society (DAS) Best Student Paper, 2020.  Winner of Katta G. Murty Best Student Paper Award on Optimization, 2020.
  • Jones, I.A., M.P. Van Oyen, M.S. Lavieri, C. Andrews, and J.D. Stein, Classification of Open Angle Glaucoma Patient as Rapid Progressors: A Soft Voting Ensemble Approach, accepted for publication in Health Care Management Science (HCMS), 2021.
  • Kazemian, P., M.S. Lavieri, E. Helm, M.P. Van Oyen, and J.D. Stein “Dynamic Personalized Monitoring and Treatment Control of Glaucoma,” Production and Operations Management (POM), 28:5, 1082-1107, 2018 https://doi.org/10.1111/poms.12975 31485154
    • First Place, Best Paper Award, 2015 College of Healthcare Operations Management (POMS), Advisee Pooyan Kazemian earned finalist standing in the 2015 IBM service science competition; plus, an earlier version was a Finalist presentation in competition for Decision Analysis Society (DAS) of INFORMS at 2014 INFORMS Conference ; Won 2015 IOE Katta Murty Prize for the Best Research Paper on Optimization,
  • Garcia, G.-G. P., K. Nitta, M. S. Lavieri, C. Andrews, Liu, E. Lobaza, M. P. Van Oyen, K. Sugiyama, and J. D. Stein. Using Kalman Filtering to Forecast Disease Progression for Patients with Normal Tension Glaucoma. American Journal of Ophthalmology, 199, 111-119. 2019. PMID 30336130
  • De Roos, L, Nitta, K., Lavieri, M. S., Van Oyen, M. P., Kazemian, P., Andrews, C. A., . . . Stein, J. D. (2020). Comparing Perimetric Loss at Different Target Intraocular Pressures for Patients with High-Tension and Normal-Tension Glaucoma. Ophthalmology. Glaucoma. doi:10.1016/j.ogla.2020.09.009r 
  • Garcia, G.-G. P., C. Andrews, Liu, Van Oyen, M.P. Kass, M.A., Gordon, M.O., Stein, J.D., Accuracy of Kalman Filtering in Forecasting Visual Field and Intraocular Pressure Trajectory in Patients With Ocular Hypertension JAMA Ophthalmology 137.12 (2019): 1416-1423. doi:https://doi.org/10.1001/jamaophthalmol.2019.4190
  • Kazemian, P., M.S. Lavieri, E. Helm, M.P. Van Oyen, C. Andrews, and J.D. Stein, Personalized Prediction of Glaucoma Progression Under Different Target Intraocular Pressure Levels Using Filtered Forecasting Methods, Ophthalmology, 125:4, 569-577, 2018 doi: 10.1016/j.ophtha.2017.10.033 PMID: 29203067
  • Helm, J.E., Lavieri, D.C. Musch, J.D. Stein and M.P. Van Oyen, Dynamic forecasting and control algorithms of glaucoma progression for clinician decision support, Operations Research. 63:5, 979-999, 2015. dx.doi.org/10.1287/opre.2015.1405  First prize in the 2012 Doing Good with Good OR Prize, INFORMS Society, awarded to students J. Helm (PhD advisee) and G. Schell (mentored student)
  • Schell, J.G., M.S. Lavieri, E. Helm, X. Liu, D.C. Musch, M.P. Van Oyen, and J.D. Stein, Using Filtered Forecasting Techniques to Determine Personalized Monitoring Schedules for Patients with Open-Angle Glaucoma, Ophthalmology,121:8, (2014) 1539-46. PMID: 24704136 (SMDM 2013 Lee Lusted Student 1st Prize for Quantitative Methods and Theoretical Developments – awarded to G.J. Schell, National, open to international applications – Mentoring role, Baltimore 2013)
  • Our glaucoma algorithms were recently showcased by EyeNet (a journalism for community ophthalmologists and members of industry): “A Predictive Model to Personalize Follow-Up?” at http://www.aao.org/eyenet/article/news-in-review-9 [written about us, but not by us] EyeNet Magazine (2014)

3. Flexible Operations  (-labor, -supply chain)

  • Saghafian, S., and M.P. Van Oyen “Compensating for Dynamic Supply Disruptions: Backup Flexibility Design,” Operations Research (OR), 64:2, 390-405, 2016. http://dx.doi.org/10.1287/opre.2016.1478 (Won 2012 IOE Richard Wilson Prize, Finalist in 2013 POMS Supply Chain College Best Student Paper Competition).
  • Dong, J. Deglise-Hawkinson, M. P. Van Oyen, and D. J. Singer, Dynamic Control of a Closed Two-stage Queueing Network for Outfitting Process in Shipbuilding Computers & Operations Research 72, 1-11, 2016. dx.doi.org/10.1016/j.cor.2015.05.002
  • Dong, F.,P. Van Oyen, and D.J. Singer, Dynamic Control of a Flexible `N’ Productio n Shop with Application to Shipbuilding, International Journal of Production Research. 52:4, (2014) 967-984. DOI:10.1080/00207543.2013.827803
  • Dong, J. Deglise-Hawkinson, M. P. Van Oyen, and D. J. Singer, “Analytical Approach to a Two-Stage Queueing Network for the Planning of Outfitting Processes in Shipbuilding,” Journal of Ship Production and Design 29:3, (2013) 136-41.
  • Iravani, S.M.R., Kolfal, and M.P. Van Oyen, Process Flexibility and Inventory Flexibility via Product Substitution, Flexible Services and Manufacturing (formerly the Int’l. Journal of Flexible Manufacturing Systems), 26: 3, (2014), 320-343, DOI 10.1007/s10696-01209142-7
  • Parvin, H., M.P. Van Oyen, D. Pandelis, Williams, and J. Lee, Fixed Task Zone Chaining: Worker Coordination and Zone Design for Inexpensive Cross-Training in Serial CONWIP Lines, IIE Transactions, 44:10, (2012) 894-914. DOI 10.1080/0740817X.2012.668264
  • Saghafian, S. and M.P. Van Oyen, The Value of Flexible Backup Suppliers and Disruption Risk Information: Newsvendor Analyses with Recourse, IIE Transactions, 44:10, (2012) 834-867. Earlier version won Honorable Mention (Finalist) for Best Student Paper Award: 2013 POMS Supply Chain College.
  • Pandelis, D., and M.P. Van Oyen, Sample path optimal policies for serial lines with flexible workers, Journal of Applied Probability (JAP), 49:2, (2012) 582-589.
  • Saghafian, S., and M.P. Van Oyen, “Managing supply risks: Should you monitor your risky suppliers? Inject flexibility into your backup system?” Industrial Engineer, 44, (2012)
  • Saghafian, S.,P. Van Oyen, and B. Kolfal, The `W’ Network and the Dynamic Control of Unreliable Flexible Servers, IIE Transactions, 43, (2011) 893-907. Winner of the 2010 IOE Department Katta Murty Prize for best paper on Optimization.
  • Iravani, S.M.R., Kolfal, and M.P. Van Oyen, Capability Flexibility: A decision support methodology for production and service systems with flexible resources. IIE Transactions 43:5, (2011) 363-382.
  • Dong, F., H. Parvin, M.P. Van Oyen, and D.J. Singer, Innovative Ship Block Assembly Production Control Utilizing a Flexible Curved Block Job Shop, Journal of Ship Production, 25:4, (2009) 1-8.
  • Tekin, E.,J. Hopp, and M.P. Van Oyen, Pooling strategies for service center agent cross-training, IIE Transactions, 41:6, (2009) 546-561. 2001 Top Six Finalist for MSOM Best Student Paper Award
  • Gel, E.G.S., W. J. Hopp, and M.P. Van Oyen, Hierarchical cross-training in work-in-process-constrained systems, IIE Transactions, 39:2, (2007) 125-143. DOI:10.1080/07408170600729184
  • Iravani, S.M.R., Kolfal, and M.P. Van Oyen, Call center labor cross-training: It’s a small world after all, Management Science, Special Issue on Complex Systems 53:7, (2007) 1102-1112.
  • Sennott, L., M.P. Van Oyen, and S.M.R. Iravani, Optimal dynamic assignment of a flexible worker on an open production line with specialists, European Journal of Operational Research (EJOR), 170:2, (2006) 541-566.
  • Iravani, S.M.R., M.P. Van Oyen, and T. Sims, Structural flexibility: A new perspective on the design of manufacturing and service operations, Management Science, 51:2, (2005) 151-166.
  • Hopp, W.J., S.M.R. Iravani, and M.P. Van Oyen, Introduction to the Special Issue on Workforce Agility, IIE Transactions, 36:10, (2004) 915-917.
  • Hopp, W.J., Tekin, and M.P. Van Oyen, Benefits of skill chaining in serial production lines with cross-trained workers, Management Science, 50:1, (2004) 83-98.
  • Hopp, W.J. and M.P. Van Oyen, Agile workforce evaluation: A framework for cross-training and coordi­nation, IIE Transactions, 36:10, (2004) 919-940.
  • Gel, E.G.S., W. J. Hopp, and M.P. Van Oyen, Factors affecting opportunity of worksharing as a dynamic line balancing mechanism, IIE Transactions, 34:10, (2002) 847-863.
  • Van Oyen, M.P., G.S. Gel, and W.J. Hopp, Performance opportunity for workforce agility in collabo­rative and non-collaborative work systems, IIE Transactions, 33:9, (2001) 761-777. 10.1023/A:1010997816249
  • Dong, Jivan Deglise-Hawkinson, M. P. Van Oyen, and D. J. Singer, “Analytical Approach to a Two-Stage Queueing Network for the Planning of Outfitting Processes in Shipbuilding”, Society of Naval Architects and Marine Engineers Annual Meeting and Ship Production Symposia, Providence, RI, (2012) 6 pages.
  • Dong, F.,P. Van Oyen, and D.J. Singer, Dynamic control of a flexible shipbuilding system under CONWIP discipline, Proceedings of ICCAS 2011, (2011) 10 pages
  • Parvin, H., A. Bose, and M.P. Van Oyen, Priority-Based Routing with Strict Deadlines and Server Flexibility Under Uncertainty, Winter Simulation Conference, Wash. DC. (2009) 3181 – 3188
  • Helm, J.E., S. AhmadBeygi, and M.P. Van Oyen, The Flexible Patient Flow Simulation Framework, IIE Annual Conference Proceedings, Miami, FL, (2009) 803-808.
  • Saghafian, S., and M.P. Van Oyen, Flexibility of Reliable Suppliers and Monitoring of Unreliable Suppliers: How Much Should a Manufacturer Invest? Proc. 2008 MSOM Conference, (Jun. 2008) 7 pages.
  • Gel, E.G.S., W. J. Hopp, and M.P. Van Oyen, “Best Use of Cross-trained Workers,” Industrial Engineer, 39:2, (2007)

4. Policies for Production Models (Service & Mfg.)

  • Kim, E., and M.P. Van Oyen, “Joint admission, production sequencing, and production rate control for a two-class make-to-order manufacturing system”  Jour. of Manufacturing Systems, 59, (2021) 413-425. doi.org/10.1016/j.jmsy.2021.03.010
  • Keyvanshokooh, E., Shi, and M.P. Van Oyen, Online advance scheduling with overtime: A primal-dual approach, Manufacturing and Service Operations Management (MSOM), 2019. https://doi.org/10.1287/msom.2019.0832 (Winner of Richard C. Wilson Best Student Paper Award on Service Systems, 2019.)
  • Kim, E., S. Saghafian, and M.P. Van Oyen, Joint Control of Production and Disposal Activities in a Hybrid Manufacturing-Remanufacturing System, European Journal of Operational Research (EJOR), 231. (2013) 337-348. DOI 10.1016/j.ejor.2013.05.052
  • Kim, E. and M.P. Van Oyen, Finite-capacity multi-class production scheduling with setup times, IIE Transactions, 32:9, (2000) 807-818. Best Paper Award for IIE Transactions focus issue in Operations Engineering for 2000-2001.
  • Van Oyen, M.P. and Pichitlamken, Properties of optimal weighted flowtime policies with a makespan constraint and set-up times, Manufacturing and Service Operations Management (M&SOM), 2:1, (2000) 84-99. DOI 10.1287/msom.2.1.84.23264
  • Kim, E., M.P. Van Oyen, and M. Rieders, General dynamic programming algorithms applied to polling systems, Communications in Statistics: Stochastic Models, 14:5, (1998) 1197-1221.
  • Kim, E. and M.P. Van Oyen, Dynamic scheduling to minimize lost sales subject to set-up costs, Queueing Systems: QUESTA, 29, (1998) 193-229.
  • Kim, E. and M.P. Van Oyen, Beyond the cm rule: Dynamic scheduling of a two-class loss queue, Mathematical Methods of Operations Research (MMOR) (formerly Zeitschrift fur Operations Research), 48:1, (1998) 17-36.
  • Van Oyen, M.P., I. Duenyas, and C.-Y. Tsai, Stochastic sequencing with job families, set-up times, and due dates, Int’l. Journal of Systems Science, 30:2 (1998) 175-181.
  • Van Oyen, M.P., Monotonicity of optimal performance measures for polling systems, Probability in the Engineering and Informational Sciences (PEIS), 11:2, (1997) 219-228.
  • Van Oyen, M.P. and D. Teneketzis, Optimal batch service of a polling system under partial information, ZOR-Mathematical Methods of Operations Research (formerly Zeitschrift fur Operations Research), 44:3, (1996) 401-419.
  • Duenyas, I. and M.P. Van Oyen, Heuristic scheduling of parallel heterogeneous queues with set-ups, Management Science, 42:6, (1996) 814-829.
  • Duenyas, I. and M.P. Van Oyen, Stochastic scheduling of parallel queues with set-up costs, Queueing Systems (QUESTA), 19, (1995) 421-444.
  • Van Oyen, M.P. and D. Teneketzis, Optimal stochastic scheduling of forest networks with switching penalties, Advances in Applied Probability, 26, (1994) 474-497.
  • Van Oyen, M.P., D.G. Pandelis, and D. Teneketzis, Optimality of index policies for stochastic scheduling with switching penalties, Journal of Applied Probability, 29, (1992) 957-966.
  • Van Oyen, M.P. and D. Teneketzis, Optimal scheduling of a finite capacity shuttle under delayed information, Probability in the Engineering and Informational Sciences (PEIS), 6, (1992) 29-61.
  • Working papers:
    • Parvin, H., H-S. Ahn, and M.P. Van Oyen, Control Policies for the N-network with Impatient Customers and Finite Buffers, working paper, 2013.
    • Sharma, S., V. Babich, D. Teneketzis, and M.P. Van Oyen, A Decentralized Mechanism Implementing in Nash Equilibria the Optimal Centralized Solution of a Supply-chain Problem, working paper 2011.
    • Saghafian, S., M.P. Van Oyen, and Kim, Optimal Control of Production and Refurbishment Activities: A Markov Decision Process Model, working paper, 2010.

5.  Logistics & Humanitarian Operations

  • Parvin, H., S. Beygi, E. Helm, P.S. Larson, and M.P. Van Oyen, Distribution of Medication Considering Information, Transshipment, and Clustering: Malaria in Malawi, Production & Operations Management (POM), 27:4, 597-798, 2018, https://doi.org/10.1111/poms.12826   Finalist for Best Paper Award 2012, College of Healthcare Operations Management of POMS