40. C. Chaves and A. Gosavi. On General Multi-Server Queues with Non-Poisson Arrivals and Medium Traffic: A New Approximation and a COVID-19 Ventilator Case Study. Accepted to Operational Research: An International Journal.

39. G. Frailoi, A. Gosavi and L.H. Sneed. Strategic Implications for Civil Infrastructure and Logistical Support Systems in Post-Earthquake Disaster Management: The Case of St. Louis. IEEE – Engineering Management Review, 49(1), 165-173, 2021.

38. A. Encapera, A. Gosavi, and S.L. Murray. Total Productive Maintenance of Make-To-Stock Production-Inventory Systems via Artificial-Intelligence-Based iSMART. International Journal of Systems Science: Operations & Logistics, 8 (2), 154-166, 2021. MATLAB codes available here

37. A. Gosavi and R.J. Marley. Public Policy in a Pandemic: A Hazard-Control Perspective and a Case Study of the BCG Vaccine for COVID-19. IEEE – Engineering Management Review, 48(3), 111-117, 2020.

36. A. Gosavi, G. Fraioli, L.H. Sneed, and N. Tasker. Discrete-Event-Based Simulation Model for Performance Evaluation of Post-Earthquake Restoration in a Smart City . IEEE Transactions on Engineering Management, 67(3), 582-592, 2020.

35. V. Subramanian, T.K. Das, C. Kwon, and A. Gosavi. A Data-Driven Methodology for Dynamic Pricing and Demand Response in Electric Power Networks . Electric Power Systems Research, 174 (105869), 2019.

34. R.J. Lawhead and A. Gosavi. A Bounded Actor-Critic Reinforcement Learning Algorithm Applied to Airline Revenue Management. Engineering Applications of Artificial Intelligence, 82, 252-262, 2019. MATLAB codes available here

33. A. Gosavi, S. Agarwal, and C. Dagli. Predicting Response of Risk-Seeking Systems during Project Negotiations in a System of Systems. IEEE Systems Journal, 11(3), 1557-1566, 2017.

32. L. Blenke, A. Gosavi, and W. Daughton Attitudes towards Face-To-Face Meetings in Virtual Engineering Teams: Perceptions from a Survey of Defense Projects International Journal of Project Organisation and Management, 9(2), 95–112, 2017.

31. S. Ghosh and A. Gosavi. A Semi-Markov Model for Post-Earthquake Emergency Response in A Smart City, Control Theory and Technology, 15 (1), 13–25, 2017.

30. A. Gosavi, E.A. Cudney, S.L. Murray and C. Masek. Analysis of Clinic Layouts and Patient-Centered Procedural Innovations Using Discrete-Event Simulation, Engineering Management Journal, 28(3), 134-144, 2016.

29. A. Gosavi and A. Parulekar. Solving Solving Markov Decision Processes with Downside Risk Adjustment. International Journal of Automation and Computing, 13(3), 235-245, 2016

28. A. Gosavi, W. Daughton, O. Senoz, and V. Samaranayake Consumer Perception of U.S. and Japanese Automobiles: A Statistical Comparison via Consumer Reports and J.D. Power & Associates Data, International Journal of Engineering Management and Economics, 6(1), 1–18, 2016.

27. Abhijit Gosavi Variance-penalized Markov decision processes: Dynamic programming and reinforcement learning techniques. International Journal of General Systems, 43(6), 649-669, 2014.

26. Chase Murray, Abhijit Gosavi, and Debu Talukdar. The Multi-Product Price-Setting Newsvendor with Resource Capacity Constraints. International Journal of Production Economics , 138: 148-158, 2012.

25. Abhijit Gosavi and Elizabeth A. Cudney. Form-error metrology: A survey of measurement techniques. Quality Engineering, 24 (3): 369-380, 2012.

24. Abhijit Gosavi, Susan L. Murray, Jiaqiao Hu, and Shuva Ghosh. . Model-building Adaptive Critics for semi-Markov Control. Journal of Artificial Intelligence and Soft Computing Research, 2(1): 43-58, 2012.

23. A. Gosavi. Target-sensitive control of Markov and semi-Markov processes, International Journal of Control, Automation, and Systems, , 9(5):1-11, 2011. MATLAB codes available here

22. A. Gosavi, S.L. Murray, V.M. Tirumalasetty and S. Shewade. A Budget-Sensitive Approach to Scheduling Maintenance in a Total Productive Maintenance (TPM) Program , Engineering Management Journal , 23(3): 46-56, 2011.

21. O. Senoz, W. Daughton, A. Gosavi, and E. Cudney. An evaluation of professional quality measurement systems for the automotive industry, International Journal of Engineering, Science, and Technology, 3 (7): 101-108, 2011.

20. K. Kulkarni, A. Gosavi, S. L. Murray and K. Grantham Semi-Markov Adaptive Critic Heuristics with Application to Airline Revenue Management Control Theory and Technology (special issue on Approximate Dynamic Programming), 9(3): 421-430, 2011.

19. Aykut F. Kahraman and A. Gosavi. On the distribution of the number stranded in bulk-arrival, bulk-service queues of the M/G/1 form. European Journal of Operational Research, 212: 352-360, 2011.

18. Zheng Sui, Abhijit Gosavi, and Li Lin. A reinforcement learning approach for inventory replenishment in vendor-managed inventory systems with consignment inventory, Engineering Management Journal , 22(4): 44-53, 2010. MATLAB codes and case study available for newsvendor solution in paper MATLAB code here and case study here

17. Chase Murray, Debu Talukdar, and Abhijit Gosavi. "Joint Optimization of Product Price, Display Orientation and Shelf-Space Allocation in Retail Category Management, Journal of Retailing, 86 (2): 125–136, 2010.

16. Purvin Shah, Abhijit Gosavi, and Rakesh Nagi "A Machine Learning Approach to Optimize Usage of Recycled Material in a Remanufacturing Environment." (pdf file) International Journal of Production Research. 48(4): 933–955, 2010.

15. Abhijit Gosavi. "Reinforcement Learning: A Tutorial Survey and Recent Advances." (pdf file) INFORMS Journal on Computing, 21(2):178-192, 2009.

14. Aykut F. Kahraman, Abhijit Gosavi, and Karla J. Oty. "Performance Evaluation and Capacity Optimization in a Stochastic Material-Handling system with an Automated Guided Vehicle." (pdf file) IEEE Transactions on Automation Science and Engineering. 5(3):504-518, 2008.

13. Ganesh Subramaniam and Abhijit Gosavi "Simulation-based optimization for material dispatching in a retailer network." International Journal of Simulation and Process Modeling (Special issue on Simulation and Supply Chains) 3(4):238-245, 2007.

12. Abhijit Gosavi, Emrah Ozkaya, and Aykut Kahraman "Simulation Optimization for Revenue Management of Airlines With Cancellations and Overbooking." OR Spectrum: Special issue on revenue management, 29: 21-38, 2007.

11. Abhijit Gosavi "A risk-sensitive approach to total productive maintenance." (pdf file) Automatica, 42: 1321-1330, 2006.

10. Abhijit Gosavi "Boundedness of Iterates in Reinforcement Learning." (pdf file) Systems and Control Letters. 55:347-349, 2006.

9. Abhijit Gosavi and Shantanu Phatakwala "A finite-differences derivative-descent approach for estimating form error in precision-manufactured parts" (pdf file) Journal of Manufacturing Science and Engineering (ASME Transactions)) 128 (1): 355-359, 2006

8. Abhijit Gosavi, Tapas K. Das and Sudeep Sarkar. "A Simulation-Based Learning Automata Framework for Solving Semi-Markov Decision Problems Under Long-Run Average Reward," (pdf file) IIE Transactions , 36:1-11, 2004.

7. Abhijit Gosavi "A Reinforcement Learning Algorithm Based on Policy Iteration For Average Reward: Empirical Results with Yield Management and Convergence Analysis" (pdf file), Machine Learning , 55(1): 5-29, 2004.

6. Abhijit Gosavi, "Reinforcement Learning for Long-Run Average Cost" (pdf file), European Journal of Operational Research, 155: 654-674, 2004.

5. Abhijit Gosavi, Naveen Bandla, and Tapas K. Das "A Reinforcement Learning Approach to Airline Seat Allocation for Multiple Fare Classes with Overbooking" IIE Transactions, 34: 729-742, 2002.

4. Pierpaulo Pontrandolfo, Abhijit Gosavi, O. Geoffrey Okogbaa and Tapas K. Das "Global Supply Chain Management: A Reinforcement Learning Approach," International Journal of Production Research, 40(6): 1299-1317, 2002.

3. Tapas K. Das, Abhijit Gosavi, and Krishna Kanchibhatta Optimal Design of Plans for Acceptance Sampling by Variables with Inverse Gaussian Distribution" Communications in Statistics, Simulation and Computation, 31(3): 463-488, 2002.

2. Tapas K. Das, Abhijit Gosavi, Sridhar Mahadevan, and Nicholas Marchalleck "Solving Semi-Markov Decision Problems using Average Reward Reinforcement Learning," Management Science , April, vol. 45(4): 560-574, 1999.

1. Tapas K. Das, Vikas Jain, and Abhijit Gosavi "Economic Design of Dual-Sampling-interval policies for X-bar charts with and without run rules", IIE Transactions , 29: 497-506, 1997.