| A hybrid simulation and genetic algorithm approach to determine the optimal scheduling templates for open access clinics admitting walk-in patients Y Peng, X Qu, J Shi Computers & Industrial Engineering 72, 282-296, 2014 | 70 | 2014 |
| A two-phase approach to scheduling multi-category outpatient appointments–a case study of a women’s clinic X Qu, Y Peng, N Kong, J Shi Health care management science 16, 197-216, 2013 | 61 | 2013 |
| An MDP model for walk-in patient admission management in primary care clinics X Qu, Y Peng, J Shi, L LaGanga International Journal of Production Economics 168, 303-320, 2015 | 51 | 2015 |
| Large-scale assessment of missed opportunity risks in a complex hospital setting Y Peng, E Erdem, J Shi, C Masek, P Woodbridge Informatics for Health and Social Care 41 (2), 112-127, 2016 | 40 | 2016 |
| Simulation analysis on patient visit efficiency of a typical VA primary care clinic with complex characteristics J Shi, Y Peng, E Erdem Simulation Modelling Practice and Theory 47, 165-181, 2014 | 35 | 2014 |
| Short-term forecasting of wind speed and power-a clustering approach E Erdem, J Shi, Y Peng IISE Annual Conference. Proceedings, 3501, 2014 | 20 | 2014 |
| Empirical analysis of wind power potential at multiple heights for North Dakota wind observation sites Y Hou, Y Peng, AL Johnson, J Shi Energy Science and Technology 4 (1), 1-9, 2012 | 17 | 2012 |
| Performance analysis and improvement of a typical telephone response system of va hospitals: A discrete event simulation study J Shi, E Erdem, Y Peng, P Woodbridge, C Masek International Journal of Operations & Production Management 35 (8), 1098-1124, 2015 | 10 | 2015 |
| Communication enhancement and best practices for co-managing dual care rural veteran patients by VA and non-VA providers: a survey study J Shi, Y Peng, E Erdem, P Woodbridge, A Fetrick Journal of community health 39, 552-561, 2014 | 10 | 2014 |
| A finite mixture GARCH approach with EM algorithm for energy forecasting applications Y Zhang, Y Peng, X Qu, J Shi, E Erdem Energies 14 (9), 2352, 2021 | 7 | 2021 |
| Applying simulation and genetic algorithm for patient appointment Scheduling optimization Y Peng North Dakota State University, 2013 | 4 | 2013 |
| Study of Three Maintenance Policies Under Quantity Based Reliability Prediction Y Peng, J Shi, O Yadav IIE Annual Conference. Proceedings (2011), 1-8, 2011 | 2 | 2011 |
| Evaluation of Prosthetics Purchasing Process at VA Hospitals Y Peng, J Shi, K Farahmand, C Masek, P Woodbridge IISE Annual Conference. Proceedings, 2699, 2015 | 1 | 2015 |
| Price Based Unit Commitment with Emission Trading in Generating Companies C Lu, Y Peng, J Shi IISE Annual Conference. Proceedings, 2744, 2015 | 1 | 2015 |
| A clustering approach for missed opportunity risk assessment Y Peng, E Erdem, J Shi, C Masek, P Woodbridge IIE Annual Conference. Proceedings, 3664, 2014 | 1 | 2014 |
| Stochastic Price-Based Unit Commitment in Wind Power Generating Company Y Peng, X Zheng, E Erdem, J Shi IIE Annual Conference. Proceedings, 3701, 2014 | 1 | 2014 |
| A Clinic Scheduling Optimization Model Considering Open Access and Walk-in Patients Y Peng, J Shi, X Qu IIE Annual Conference 2013, 1498-1504, 2013 | 1 | 2013 |
| A Two-Stage Stochastic Programming Model for Outpatient Appointment Scheduling X Qu, L Leaven, Y Peng, J Shi, N Kong IIE Annual Conference. Proceedings (2011), 1-8, 2011 | 1* | 2011 |
| Assessing 30-Day Readmission Risk of VA Patients by Logistic Regression E Erdem, Y Peng, J Shi, C Masek IISE Annual Conference. Proceedings, 2728, 2015 | | 2015 |
| Stochastic scheduling optimization for solving patient no-show and appointment cancellation problems in outpatient clinics Y Peng North Dakota State University, 2015 | | 2015 |
Nan KongProfessor of Biomedical Engineering and Industrial Engineering, Purdue UniversityVerifisert e-postadresse på purdue.edu