Assistant Professor Tenure Track
Suleman Dawood School Of Business
Jat, M. & Rafique, R. (2017). Impact of inventory sharing on service availability and transportation levels in time-differentiated distribution. International Journal of Inventory Research, 4 (1), doi:10.1504/IJIR.2017.085374.
Khan, A., Rafique, R., Waleed, Z., Shah & Shah, C. & Zhao, Y. (2017). Nation-Scale Adoption of Shorter Breast Radiotherapy Schedules Can Increase Survival in Resource Constrained Ecnonmies: Results from a Markov Chain Analysis. International Journal of Radiation Oncology Biology Physics, 97 (2).
Rafique, R., Mun, K. & Zhao, Y. (2017). Designing Energy Supply Chains: Dynamic Models for Energy Security and Economic Prosperity. Production and Operations Management, 26 (6), 1120-1141, doi:10.1111/poms.12689.
Rafique, R. (2015). Energy Supply Chain. Informs Annual Meeting,, Pheladelphia, United States of America.
Rafique, R. (2014). Breaking the viscous cycle –Energy Crisis of Pakistan. Sixth Annual New Jersey Chapter Student Contest, Atlantic City, New Jersey.
Rafique, R. (2014). Innovation or Supply Chain Management: How to win market leadership?. Decision Sciences Institute, 45th Annual Meeting Baltimore, Baltimore, Maryland.
Rafique, R. (2014). Sustainable Energy Supply Chain-Future Energy Security of Pakistan. Decision Sciences Institute, 45th Annual Meeting Baltimore, Baltimore, Maryland.
Rafique, R. (2013). Breaking the viscous cycle –Energy Crisis of Pakistan. INFORMS Annual Meeting 2013 Minneapolis, Minneapolis, Mississippi.
Rafique, R. (2013). Sustainable Energy Supply Chain. Decision Sciences Institute, 44th Annual Meeting Baltimore, Baltimore, Maryland.
Chaudhery, M., Rehman, H. & Rafique, R. (2019). A novel mobile-based outpatient healthcare service delivery framework and its adoption.
Rafique, R. & Jat, M. (2018). Biofuel energy supply chain-Facility location models.
Jat, M. & Rafique, R. (2018). Controlling mass-casualty flow for emergency healthcare-A simulation analysis..
Rafique, R. (2018). Designing Hydro Supply Chains for Energy, Food and Flood.
Rehman, H., Wan, G. & Rafique, R. (2018). A hybrid approach with step-size aggregation to forecasting hierarchical time series.