Selected Publications and Work in Progress

Papers Organized by AREA – see this page

My Google Scholar Publications and Citations Page

Selected Papers of Significance with LINKS:  (Underlining indicates that I provided significant guidance to the co-author when a graduate student)

  1. [Q-CTRL-1]  Duenyas, I. and M.P. Van Oyen, Heuristic scheduling of parallel heterogeneous queues with set-ups, Management Science, 42:6, (1996) 814-829.
  2. [Q-CTRL-2]  Duenyas, I. and M.P. Van Oyen, Stochastic scheduling of parallel queues with set-up costs, Queueing Systems (QUESTA), 19, (1995) 421-444.
  3. [FLEX-1]       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.
  4.                            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.
  5.                            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.
  6. [FLEX-2]      Iravani, S.M.R., M.P. Van Oyen, and K.T. Sims, Structural flexibility: A new perspective on the design of mfg. and service op’s, Management Science, 51:2, (2005) 151-166. 
  7. [FLEX-3]      Saghafian, S., and M.P. Van Oyen “Compensating for Dynamic Supply Disruptions: Backup Flexibility Design,” Operations Research (OR), 64:2, 390-405, 2016.
  8. [EMRG-1]     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.
  9. [EMRG-2]     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  (Abstract)
  10. [HOSP]         Helm, J.E., and M.P. Van Oyen, Design and optimization methods for elective hospital admissions, Operations Research, 62:6, (2015) 1265-1282  http://dx.doi.org/10.1287/opre.2014.1317
  11. [MDM-1]      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
  12. [MDM-2]      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

 

Selected Papers Under Review and Work in Progress:  (Underlining indicates that I provided significant guidance to the co-author when a graduate student)

  • 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).
  • 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, 2nd round review, Healthcare Management Science (HCMS), 2020.
  • 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.i, 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

    • Meisami, , C. 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. working paper,
    • Keyvanshokooh, MP. 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.
    • Dean, A.,M. Zhalechian, P. Van Oyen Optimizing Hospital Care Unit Placements with Personalization and Contextual Learning. 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. 2018.
    • Jones, I.A., Bommakanti, E. Keyvanshokooh, M.P. Van Oyen, M.S. Lavieri, C. Andrews, C. 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.

Research – Journal Papers in Refereed Publications  (underlining denotes a former student advisee)

  1. Deglise-Hawkinson, J, David L. Kaufman, B.J. Roessler, and M.P. Van Oyen, Access Planning and Resource Coordination for Clinical Research Operations, accepted to IISE Transactions, 2019.
  2. Keyvanshokooh, E., Shi, and M.P. Van Oyen, Online advance scheduling with overtime: A primal-dual approach, accepted to Manufacturing and Service Operations Management (MSOM), 2019.
  3. 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
  4. Garcia, G.-G., K. Nitta, M. S. Lavieri, C. Andrews, X. 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. Accepted subject to minor revision, American Journal of Ophthalmology, 2018.
  5. Deglise-Hawkinson, J, E. Helm, T. Huschka, D. Kaufman, and M.P. Van Oyen, ” A Capacity Allocation Planning Model for Integrated Care and Access Management. Production and Operations Management (POM), 2018, https://doi.org/10.1111/poms.12941
  6. Meisami, A., J. Deglise-Hawkinson, Cowen, and M.P. Van Oyen, “Optimal patient care resource allocation based on patient mortality risk and acuity,” accepted to Health Care Management Science (HCMS), 2018.
  7. 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), 2017, https://doi.org/10.1111/poms.12826  
  8. 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
  9. 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
  10. 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
  11. Saghafian, S., and M.P. Van Oyen “Compensating for Dynamic Supply Disruptions: Backup Flexibility Design,” accepted to Operations Research (OR), 2015. (Won 2012 IOE Richard Wilson Prize, Finalist in 2013 POMS Supply Chain College Best Student Paper Competition).    
  12. 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
  13. Helm, J.E., Lavieri-Rodriguez, D.C. Musch, J. 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
  14. Helm, J.E., and M.P. Van Oyen, Design and optimization methods for elective hospital admissions, Operations Research, 62:6,(2015) 1265-1282. (Won 2011 IOE Katta Murty Prize for the Best Research Paper on Optimization) http://dx.doi.org/10.1287/opre.2014.1317
  15. 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
  16. 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 (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, earned SSRN’s Top Ten download list in Health Economics; unanimously selected by the editors of the MSOM journal chosen as one of five representing the best work in MSOM, which will be distributed to Deans and Department Heads to promote the journal ).
  17. Dong, F.,P. Van Oyen, and D.J. Singer, Dynamic Control of a Flexible `N’ Production Shop with Application to Shipbuilding, International Journal of Production Research. 52:4, (2014) 967-984. DOI:10.1080/00207543.2013.827803
  18. 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
  19. 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
  20. 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.
  21. 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. (Among 6 papers accepted to MSOM 2011 Healthcare Operations Management SIG Workshop)
  22. 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
  23. 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
  24. 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.
    • An earlier version was listed on the SSRN’s Top Ten download list under both “SCM: Analytical” and “MRN Production & Operations Management.”
  25. 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.
  26. 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.
  27. 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.
  28. Helm, J., 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.
  29. Dong, F., 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.
  30. Tekin, E.,J. Hopp, and M.P. Van Oyen, Pooling strategies for service center agent cross-training, IIE Transactions, 41:6, (2009) 546-561.
  31. 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
  32. 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.
  33. 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.
  34. 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.
  35. Hopp, W.J., Tekin, and M.P. Van Oyen, Benefits of skill chaining in production lines with cross-trained workers, Management Science, 50:1, (2004) 83-98.
  36. 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.
  37. 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.
  38. IIE Transactions, 33:9, (2001) 761-777. 10.1023/A:1010997816249 Van Oyen, M.P., G.S. Gel, and W.J. Hopp, Performance opportunity for workforce agility in collabo­rative and non-collaborative work systems,
  39. Kim, E. and M.P. Van Oyen, Finite-capacity multi-class production scheduling with setup times, IIE Transactions, 32:9, (2000) 807-818.
  40. 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
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. Duenyas, I. and M.P. Van Oyen, Heuristic scheduling of parallel heterogeneous queues with set-ups, Management Science, 42:6, (1996) 814-829.
  48. Duenyas, I. and M.P. Van Oyen, Stochastic scheduling of parallel queues with set-up costs, Queueing Systems (QUESTA),19, (1995) 421-444.
  49. Van Oyen, M.P. and D. Teneketzis, Optimal stochastic scheduling of forest networks with switching penalties, Advances in Applied Probability, 26, (1994) 474-497.
  50. 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.
  51. 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.

Shorter communications, letters or notes or briefs in refereed publications

  1. Saghafian, S., W.J. Hopp, and M.P. Van Oyen, Complexity-Based Triage: A Tool for Improving Patient Safety and Operational Efficiency: An extended abstract, Manufacturing and Service Operations Management (M&SOM), 15:1, (2013) 160.
  2. 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.
  3. Tekin, E., W.J. Hopp, and M.P. Van Oyen, Benefits of skill chaining in production lines with cross-trained workers: An extended abstract, Manufacturing and Service Operations Management (M&SOM), 4:1, (2002) 17-20.

Refereed conference or symposium proceedings papers

  1. A. Meisami, H. Lam, and M. Van Oyen, Uncertainty quantification on simulation analysis driven by random forests, Proc. of the 2017 Winter Simulation Conference, W. K. V. Chan, A. D’Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. Las Vegas, NV (12/3/2017)
  2. J. Schell, M.S. Lavieri, J.E. Helm, M.P. Van Oyen, D.C. Musch, and J.D. Stein Comparison of Control Algorithms for Scheduling Testing Visits, Society for Medical Decision Making (Oct. 2013) 1 page.
  3. D. Stein, J.E. Helm, M.S. Lavieri, D. Musch, G. Schell, M. Van Oyen. “Using Filtered Forecasting Techniques to Determine Personalized Monitoring Schedules for Patients with Open Angle Glaucoma,” 5th World Glaucoma Congress 2013 (7/17/2013) 1 page.
  4. S. Lavieri, J.E. Helm, G. Schell, M. Van Oyen, D. Musch, J.D. Stein. “Personalizing the Frequency and Timing of Testing to Check for Glaucoma Progression: A Novel Approach,” The Association for Research in Vision and Ophthalmology (5/28/13) 1 page.
  5. D. Stein, J.E. Helm, M.S. Lavieri, D. Musch, G. Schell, M. Van Oyen, “Using Filtered Forecasting Techniques to Determine Personalized Monitoring Schedules for Patients with Open Angle Glaucoma,” American Glaucoma Society Annual Meeting (Feb. 28 – Mar. 3, 2013) 1 page.
  6. 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.
  7. 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
  8. 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
  9. Helm, J.E., AhmadBeygi, and M.P. Van Oyen, The Flexible Patient Flow Simulation Framework, IIE Annual Conference Proceedings, Miami, FL, (2009) 803-808.
  10. 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.
  11. Van Oyen, M.P. and Pichitlamken, Allocating a server to job families with set-up times, Proc. 1998 Manufacturing and Service Operations Management Conference, Seattle, WA (Jun. 1998) 101-106.
  12. Kim, E. and M.P. Van Oyen, Dynamic control of a multiclass queue with setups and lost sales, Proc. 36th IEEE Conf. on Decision and Control, San Diego, CA, (Dec. 1997) 6 pages.
  13. P. Van Oyen, E. Senturk Gel, and W. J. Hopp, Performance opportunity for flexible workers, Proc. Thirty-Fifth Annual Allerton Conference on Communication, Control, and Computing, (Sep. 1997) 553-562.
  14. Van Oyen, M.P. and D. Teneketzis, Optimal stochastic scheduling of connected queues with switching costs, Proc. 31st IEEE Conf. on Decision and Control, Tucson, AZ, (Dec. 16-18, 1992) 3328-3333.
  15. Van Oyen, M.P., D.G. Pandelis, and D. Teneketzis, Optimality of index policies for stochastic scheduling with switching, Proc. Twenty-Ninth Annual Allerton Conference on Communication, Control, and Computing, (Oct. 1991) 8 pages.
  16. Rizzoni, G., J. Pipe, R.N. Riggins, and M.P. Van Oyen, Fault isolation and analysis for internal combustion engine onboard diagnostics, Proc. 38th IEEE Vehicular Technology Conference, Philadelphia, PA, (Jun. 1988) 237-244.

Chapters in books

  1. Appendix J in “The Logical Thinking Process: A Systems Approach to Complex Problem Solving,” by H. William Dettmer, 2007, American Society for Quality (ASQ), Quality Press. ISBN 978-0-87389-723-5. Described software supporting the methodology of the book. Significant exchanges over years were made with the author to create synergy between the software application and the evolving methodology of the book.

Publications in popular press/magazines

  1. Our glaucoma algorithms were recently showcased by EyeNet (a journal 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 and others, but not by us] EyeNet Magazine (2014)
  2. 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)
  3. Gel, E.G.S., W. J. Hopp, and M.P. Van Oyen, “Best Use of Cross-trained Workers,” Industrial Engineer, 39:2, (2007)

Some of this material is based upon work supported by NIH under NEI R01 EY026641-01A1  or UL1TR000433 and the National Science Foundation under Grant No’s. DMI-95227965, 9732868, 0099821, CMMI 1068638, 1161439, 1233095, & 1548201 as well as The University of Michigan, Northwestern University, and Loyola University Chicago. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation, Northwestern University,Loyola University Chicago, or the University of Michigan.