Michael Brusco

Haywood & Betty Taylor Eminent Scholar in Business Administration
Michael Brusco
Faculty
Location
359 RBB
Phone
850-644-6512
Academic Specialty
Business Analytics
Education

Ph.D., Florida State University, 1990
MBA, Florida State University, 1986
BBA, Florida Atlantic University, 1985
A.A., Broward Community College, 1982

Areas of Expertise

Clustering
Scheduling
Linear ordering

Dr. Michael Brusco is the Haywood & Betty Taylor Eminent Scholar in Business Administration and a professor in the Department of Business Analytics, Information Systems and Supply Chain at Florida State University's College of Business. His academic specialty is operations management, and he teaches courses in the MBA and Master of Science in Business Analytics (MS-BA) programs. His research has been published in journals of the fields of operations research/management science/industrial engineering (IIE Transactions, Management Science, Naval Research Logistics, Operations Research, Technometrics), operations/supply chain management (Decision Sciences, Journal of Operations Management, Journal of Supply Chain Management), and marketing (Journal of Marketing, Journal of Marketing Research, Marketing Science). He has also published extensively in the field of quantitative psychology and serves on the editorial review board of Psychological Methods and as an associate editor for the British Journal of Mathematical and Statistical Psychology.

He earned his bachelor's degree in marketing from Florida Atlantic University. His MBA and Ph.D. in business administration are both from Florida State University.

Selected Published Research

Bechtold, S. E., Brusco, M. J., & Showalter, M. J. (1991). A comparative evaluation of labor tour scheduling methods. Decision Sciences, 22 (4), 683-699.
Brusco, M. J., & Jacobs, L. W. (1993). A simulated annealing approach to the cyclic staff scheduling problem. Naval Research Logistics, 40 (1), 69-84.
Jacobs, L. W., & Brusco, M. J. (1995). Note: A local-search heuristic for large set-covering problems. Naval Research Logistics, 42 (7), 1129-1140.
Brusco, M. J., Jacobs, L. W., Bongiorno, R. J., Lyons, D., & Tang, B. (1995). Improving personnel scheduling at airline stations. Operations Research, 43 (5), 741-751.
Jacobs, L. W. & Brusco, M. J. (1996). Overlapping start-time bands in implicit tour scheduling. Management Science, 42 (9), 1247-1259.
Brusco, M. J. (1998). Solving personnel tour scheduling problems using the dual all-integer cutting plane. IIE Transactions, 30 (9), 835-844.
Brusco, M. J., & Johns, T. R. (1998). Staffing a multi-skilled workforce with varying levels of productivity: An analysis of cross-training policies. Decision Sciences, 29 (2), 499-515.
Brusco, M. J., & Jacobs, L. W. (1998). Personnel tour scheduling when starting-time restrictions are present. Management Science, 44 (4), 534-547.
Brusco, M. J., & Jacobs, L. W. (2000). Optimal models for meal-break and start-time flexibility in continuous tour scheduling. Management Science, 46 (12), 1630-1641.
Brusco, M. J., Cradit, J. D., & Stahl, S. (2002). A simulated annealing heuristic for a bicriterion partitioning problem in market segmentation. Journal of Marketing Research, 39 (1), 99-109.
Brusco, M. J., Cradit, J. D., & Tashchian, A. (2003). Multiobjective clusterwise regression for joint segmentation settings: An application to customer value. Journal of Marketing Research, 40 (2), 225-234.
Brusco, M. J. (2004). Optimal solution methods for the minimum-backtracking row layout problem. IIE Transactions, 36 (1), 181-189.
Brusco, M. J., & Steinley, D. (2007). Exact and approximate algorithms for part-machine clustering based on a relationship between interval graphs and Robinson matrices. IIE Transactions, 39 (10), 925-935.
Brusco, M. J. (2008). An exact algorithm for a workforce allocation problem with application to an analysis of cross-training policies. IIE Transactions, 40 (5), 495-508.
Brusco, M. J., Steinley, D., & Cradit, J. D. (2009). An exact algorithm for finding hierarchically well-formulated subsets in second-order polynomial regression. Technometrics, 51 (3), 306-315
Brusco, M. J., & Steinley, D. (2010). Neighborhood search heuristics for selecting hierarchically well-formulated subsets in polynomial regression. Naval Research Logistics, 57 (1), 33-44.
Liu, Y., Ram, S., Lusch, R., & Brusco, M. (2010). Multicriterion market segmentation: A new model, implementation and evaluation. Marketing Science, 29 (5), 880-894.
Brady, M. K., Voorhees, C. M., & Brusco, M. J. (2012). Service sweethearting: Its antecedents and customer consequences. Journal of Marketing, 76 (2), 81-98.
Brusco, M. J., Steinley, D., Cradit, J. D., & Singh, R. (2012). Emergent clustering methods for empirical OM research. Journal of Operations Management, 30 (6), 454-466.
Brusco, M. J. (2014). A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis. Computational Statistics and Data Analysis, 77 (1), 38-53.
Brusco, M. J. (2015). A bicriterion algorithm for allocating a cross-trained workforce based on operational and human-resource objectives. European Journal of Operational Research, 247 (1), 46-59
Brusco, M. J. (2015). An exact algorithm for maximizing grouping efficacy in part-machine clustering. IIE Transactions, 47 (6), 653-671.
Stolze, H. J., Mollenkopf, D., Thornton, L., Brusco, M. J., & Flint, D. J. (2018). Supply chain and marketing integration: tension in frontline social networks. Journal of Supply Chain Management, 54 (3), 3-21.