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 P. Minas earned his PhD in Operations Research and Statistics from the Royal Melbourne Institute of Technology (RMIT), Australia in 2013. Prior to joining Tobin in 2021, he spent seven years in AACSB-accredited business schools including a visiting position at Wilfrid Laurier University, Canada and tenure-track appointments at SUNY New Paltz and Ithaca College.

Teaching Interests

Business Analytics, Business Statistics, Decision Sciences.

Research Interests

Use of advanced analytics methods (such as: optimization, simulation, graph theory, and machine-learning) to provide insights into complex business problems and help make better decisions. Application areas I have worked on include: emergency/disaster management, supply chain coordination, healthcare operations and taxation policy.

Courses Taught

BUA
631
PRESCP ANALYTC & SPRDSHT MODEL
BUA
1333
MODERN STATISTICS I
BUA
2333
MODERN STATISTICS I
BUA
2334
MODERN STATISTICS II
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. inpress.

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.

Abbasi, B., Hosseinifard, Z., Alamri, O., Thomas, D., and Minas, J. P. (2018). Finite time horizon fill rate analysis for multiple customer cases. Omega. vol. 76, pp. 1-17.

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.