James P. Minas

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Assistant Professor
Business Analytics & Information Systems
The Peter J. Tobin College of Business
PhD, Operations Research & Statistics, Royal Melbourne Institute of Technology
Dr. James Minas is an Assistant Professor of Business Analytics. He holds a Ph.D. in Operations Research and Statistics from the Royal Melbourne Institute of Technology (RMIT), Australia. His research interest is the use of advanced analytics methods to provide insights into complex business problems. Application areas he has worked on include disaster preparedness and response, supply chain coordination, healthcare operations, scheduling, and fiscal policy. He has published articles in leading journals such as Annals of Operations Research, Decision Support Systems, the European Journal of Operational Research, and Journal of the Operational Research Society. Dr. Minas is an active member of the Decision Sciences Institute (DSI) and the Institute for Operations Research and the Management Sciences (INFORMS). He enjoys teaching business analytics and statistics courses to both undergraduate and MBA students at the Tobin College of Business.

Teaching Interests

Prescriptive Analytics, Predictive Analytics, Business Statistics

Research Interests

Business Analytics, Disaster Response, Supply Chain Resilience

Courses Taught

BUA
631
PRESCP ANALYTC & SPRDSHT MODEL
BUA
1333H
MODERN STATISTICS I (HON)
BUA
1333
MODERN STATISTICS I
BUA
2334
MODERN STATISTICS II
BUA
3346
LINEAR PROG FOR BUS DEC MAKING
BUA
3350
BUSINESS RESEARCH METHODS

Select Publications

Journal Articles

Minas, J. P., Minas, J., and Lim, Y. (2023). A cluster analysis of individual taxpayers - what are the characteristics of taxpayers who realise capital gains?. Australian Tax Forum . vol. 38, pp. 245-265.

Jahani, H., Abbasi, B., Hosseinifard, Z., Fadaki, M., and Minas, J. P. (2021). Disruption risk management in service level agreements. International Journal of Production Research. vol. 59, pp. 226-244.

Minas, J. P., Simpson, N. C., and Tacheva, Z. (2020). Modeling emergency response operations: A theory building survey. Computers & Operations Research. vol. 119, pp. 1-18.

Alamri, O., Abbasi, B., Minas, J. P., and Zeephongsekul, P. (2018). Service level agreements: ready-rate analysis with lump-sum and linear penalty structures. Journal of the Operational Research Society. vol. 69, pp. 142-155.

van der Merwe, M., Ozlen, M., Hearne, J. W., and Minas, J. P. (2017). Dynamic rerouting of vehicles during cooperative wildfire response operations. Annals of Operations Research. vol. 254, pp. 467-480.

Simpson, N. C., and Minas, J. P. (2016). Conceptualization and demonstration of the Incident Controller’s Problem. Decision Support Systems. vol. 90, pp. 99-111.

Minas, J. P., Hearne, J. W., and Martell, D. L. (2015). An integrated optimization model for fuel management and fire suppression preparedness planning. Annals of Operations Research. vol. 232, pp. 201-215.

Minas, J. P., Hearne, J. W., and Martell, D. L. (2014). A spatial optimisation model for multi-period landscape level fuel management to mitigate wildfire impacts. European Journal of Operational Research. vol. 232, pp. 412-422.

Books Chapters

Minas, J. P., Simpson, N. C., and Kao, T. (2019). New measures of vulnerability within supply networks: A comparison of industries. In: Handbook of Ripple Effects in the Supply Chain. Springer. pp. 209-227.