Dr. Matthew J. Robbins, Professor of Operations Research

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Publications

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1. Frial*, V.B., Jenkins, P.R., Robbins, M.J. (2023). Characterizing military medical evacuation dispatching and delivery policies via a self-exciting spatio-temporal Hawkes process model. Journal of the Operational Research Society (To appear, accepted 2 Jul 23).
2. Liles^, J.M., Robbins, M.J., and Lunday, B.J. (2023). Solving Nonstationary Markov Decision Processes via Contextual Decomposition: A Military Air Battle Management Application. Expert Systems with Applications, 233, 120949. DOI: https://doi.org/10.1016/j.eswa.2023.120949. 
3. Rodriguez*, C.A., Jenkins, P.R., and Robbins, M.J. (2023). Solving the Joint Military Medical Evacuation Problem via a Random Forest Approximate Dynamic Programming Approach. Expert Systems with Applications, 221, 119751. DOI: https://doi.org/10.1016/j.eswa.2023.119751.
4. Liles*, J.M., Robbins, M.J., and Lunday, B.J. (202X). Improving Defensive Air Battle Management by Solving a Stochastic Dynamic Assignment Problem via Approximate Dynamic Programming. European Journal of Operational Research. (To Appear, Accepted 14 Jun 22.) DOI: https://doi.org/10.1016/j.ejor.2022.06.031.
5. Haywood^, A.B., Lunday, B.J., Robbins, M.J., and Pachter, M.N. (202X). Enterprise Resource Location-Allocation for Intruder Detection and Interdiction. Military Operations Research. (To Appear, Accepted 20 Nov 2021.)
6. Hoecherl^, J.C., Robbins, M.J., Borghetti, B.J., and Hill, R.R. (2022). Partially Autoregressive Machine Learning: Development and Testing of Methods to Predict United States Air Force Retention. Computers and Industrial Engineering, 171, 108424. DOI: https://doi.org/10.1016/j.cie.2022.108424.
7. Crumpacker*, J.B., Robbins, M.J., and Jenkins, P.R. (2022). An Approximate Dynamic Programming Approach for Solving an Air Combat Maneuvering Problem. Expert Systems with Applications, 203, 117448. DOI: https://doi.org/10.1016/j.eswa.2022.117448.
8. Haywood^, A.B., Lunday, B.J., and Robbins, M.J. (2022). Intruder Detection and Interdiction Modeling: A Bilevel Programming Approach for Ballistic Missile Defense Asset Location. Omega, 110, 102640. DOI: https://doi.org/10.1016/j.omega.2022.102640.
9. Haywood^, A.B., Lunday, B.J., Robbins, M.J., and Pachter, M.N. (2021). The Weighted Intruder Path Covering Problem. European Journal of Operational Research, 297 (1), 347—358. DOI: https://doi.org/10.1016/j.ejor.2021.05.038.
10. Jenkins^, P.R., Robbins, M.J., and Lunday, B.J. (2021). Approximate Dynamic Programming for the Military Aeromedical Evacuation Dispatching, Preemption-Rerouting, and Redeployment Problem. European Journal of Operational Research, 290 (1), 132—143. DOI: https://doi.org/10.1016/j.ejor.2020.08.004.
11. Jenkins^, P.R., Robbins, M.J., and Lunday, B.J. (2021). Approximate Dynamic Programming for Military Medical Evacuation Dispatching Policies. INFORMS Journal on Computing, 33 (1), 2—26. DOI: https://doi.org/10.1287/ijoc.2019.0930.
12. Summers*, D.S., Robbins, M.J., and Lunday, B.J. (2020). An Approximate Dynamic Programming Approach for Comparing Firing Policies in a Networked Air Defense Environment. Computers & Operations Research, 117 (May), 104890. DOI: https://doi.org/10.1016/j.cor.2020.104890.
13. McKenna*, R.S., Robbins, M.J., Lunday, B.J., and McCormack*, I.M. (2020). Approximate Dynamic Programming for the Military Inventory Routing Problem.  Annals of Operations Research, 288 (1), 391—416. DOI: https://doi.org/10.1007/s10479-019-03469-8.
14. Jenkins^, P.R., Lunday, B.J., and Robbins, M.J. (2020). Robust, Multi-Objective Optimization for the Military Medical Evacuation Location-Allocation Problem. Omega, 97 (December), 102088. DOI: https://doi.org/10.1016/j.omega.2019.07.004.
15. Robbins, M.J., Jenkins^, P.R., Bastian, N.D., and Lunday, B.J. (2020). Approximate Dynamic Programming for the Aeromedical Dispatching Problem: Value Function Approximation Utilizing Multiple Level Aggregation. Omega, 91 (March), 102020. (2018 Barchi Prize, MORS.) DOI: https://doi.org/10.1016/j.omega.2018.12.009.
16. Jenkins*, P.R., Robbins, M.J., and Lunday, B.J. (2018). Examining Military Medical Evacuation Dispatching Policies Utilizing a Markov Decision Process Model of a Controlled Queueing System. Annals of Operations Research, 271 (2), 641-678. DOI: https://doi.org/10.1007/s10479-018-2760-z.
17. Lunday, B.J. and Robbins, M.J. (2019). Collaboratively-developed Vaccine Pricing and Stable Profit Sharing Mechanisms. Omega, 84, 102-113. (2019 Best Paper Award, Omega) DOI: https://doi.org/10.1016/j.omega.2018.04.007.
18. Nystrom*, J.K., Robbins, M.J., Deckro, R.F., and Morris, J.F. (2018). Simulating Attacker and Defender Strategies within a Dynamic Game on Network Topology. Journal of Simulation, 12 (4), 307-331. DOI: https://doi.org/10.1057/s41273-017-0054-0.
19. Schofield*, J.A., Zens*, C.L., Hill, R.R., and Robbins, M.J. (2018). Utilizing Reliability Modeling to Analyze United States Air Force Officer Retention. Computers and Industrial Engineering, 117, 171-180. DOI: https://doi.org/10.1016/j.cie.2018.01.013.
20. Widrick*, R.S., Nurre, S.G., and Robbins, M.J. (2018). Optimal Policies for the Management of an Electric Vehicle Battery Swap Station. Transportation Science, 52 (1), 59-79. DOI: https://doi.org/10.1287/trsc.2016.0676.
21. Boardman*, N.T., Lunday, B.J., and Robbins, M.J. (2017). Heterogeneous Surface-to-Air Missile Defense Battery Location: A Game Theoretic Approach. Journal of Heuristics, 23 (6), 417-447. DOI: https://doi.org/10.1007/s10732-017-9350-0.
22. Davis*, M.T., Robbins, M.J., and Lunday, B.J. (2017). Approximate Dynamic Programming for Missile Defense Interceptor Fire Control. European Journal of Operational Research, 259 (3), 873-886. DOI: https://doi.org/10.1016/j.ejor.2016.11.023.
23. Lunday, B.J. and Robbins, M.J. (2016). Informing Pediatric Vaccine Procurement Policy via the Pediatric Formulary Design, Pricing, and Production Problem. IIE Transactions, 48 (12), 1112-1126. DOI: http://dx.doi.org/10.1080/0740817X.2016.1198064.
24. Rettke*, A.J., Robbins, M.J., and Lunday, B.J. (2016). Approximate Dynamic Programming for the Dispatch of Military Medical Evacuation Assets. European Journal of Operational Research, 254 (3), 824-839. DOI: https://doi.org/10.1016/j.ejor.2016.04.017.
25. Han*, C.Y., Lunday, B.J., and Robbins, M.J. (2016). A Game Theoretic Model for the Optimal Location of Integrated Air Defense System Missile Batteries. INFORMS Journal on Computing, 28 (3), 405-416. DOI: https://doi.org/10.1287/ijoc.2016.0690.
26. Keneally*, S.K., Robbins, M.J., and Lunday B.J. (2016). A Markov Decision Process Model for the Optimal Dispatch of Military Medical Evacuation Assets. Health Care Management Science, 19 (2), 111-129. DOI: https://doi.org/10.1007/s10729-014-9297-8.
27. Robbins, M.J. and Lunday, B.J. (2016). A Bilevel Formulation of the Pediatric Vaccine Pricing Problem. European Journal of Operational Research, 248 (2), 634-645. DOI: https://doi.org/10.1016/j.ejor.2015.06.075.
28. Colombi, J.M., Robbins, M.J., Burger*, J.A., and Weber, Y.S. (2015). Interface Evaluation for Open System Architectures Using Multiobjective Decision Analysis. Military Operations Research, 20 (2), 55-69.
29. Behzad, B., Jacobson, S.H., and Robbins, M.J. (2015). A Symmetric Capacity-Constrained Differentiated Oligopoly Model for the United States Pediatric Vaccine Market with Linear Demand. IIE Transactions, 47 (11), 1252-1266. DOI: http://dx.doi.org/10.1080/0740817X.2015.1009759.
30. Robbins, M.J. and Jacobson, S.H. (2015). Analytics for Vaccine Economics and Pricing: Insights and Observations. Expert Review of Vaccines, 14 (4), 605-616. DOI: http://dx.doi.org/10.1586/14760584.2015.985662.
31. Guzman*, J.D., Deckro, R.F., Robbins, M.J., Morris, J.F., and Ballester, N.A. (2014). An Analytical Comparison of Social Network Measures. IEEE Transactions on Computational Social Systems,  1 (1), 35-45. DOI: https://doi.org/10.1109/TCSS.2014.2307451.
32. Robbins, M.J., Jacobson, S.H., Shanbhag, U.V., and Behzad, B. (2014). The Weighted Set Covering Game: A Vaccine Pricing Model for Pediatric Immunization. INFORMS Journal on Computing, 26 (1), 183-198. DOI: https://doi.org/10.1287/ijoc.2013.0556.
33. Bernardoni*, B.J., Deckro, R.F., and Robbins, M.J. (2013). Using Social Network Analysis to Inform Stabilization Efforts. Military Operations Research, 18 (4), 37-60.
34. Jacobson, S.H., King, D.M., Ryan, K.C., and Robbins, M.J. (2012). Assessing the Long Term Benefit of Banning the Use of Hand-Held Wireless Devices While Driving. Transportation Research Part A: Policy and Practice, 46 (10), 1586-1593. DOI: https://doi.org/10.1016/j.tra.2012.08.007.
35. Robbins, M.J. and Jacobson, S.H. (2011). Pediatric Vaccine Procurement Policy: The Monopsonist’s Problem. Omega, 39 (6), 589-597. DOI: https://doi.org/10.1016/j.omega.2010.12.004.
36. Robbins, M.J., Jacobson, S.H., and Sewell, E.C. (2010). Pricing Strategies for Combination Pediatric Vaccines and their Impact on Market Share: Pediarix or Pentacel? Health Care Management Science, 13 (1), 54-64. DOI: https://doi.org/10.1007/s10729-009-9109-8.
37. Nikolaev, A.G., Robbins, M.J., and Jacobson, S.H. (2010). Evaluating the Impact of Legislation Prohibiting Hand-Held Cell Phone Use While Driving. Transportation Research Part A: Policy and Practice, 44 (3), 182-193. DOI: https://doi.org/10.1016/j.tra.2010.01.006.

* denotes MS student author.

^ denotes PhD student author.