Ph.D., Florida State University, 1990
MBA, Florida State University, 1986
BBA, Florida Atlantic University, 1985
A.A., Broward Community College, 1982
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 Herbert Wertheim College of Business. His academic specialty is business analytics, and he teaches courses in the MBA and Master of Science in Business Analytics (MS-BA) programs. His research interests were clustering, scheduling, sequencing, and feature selection. He has published papers on these and other topics in Science, Operations Research, Management Science, Naval Research Logistics, IIE Transactions, Technometrics, Psychometrika, Computational Statistics and Data Analysis, Journal of Classification, European Journal of Operational Research, Journal of the Operational Research Society, Annals of Operations Research, Decision Sciences, Journal of Operations Management, Journal of Marketing, Journal of Marketing Research, Marketing Science, and other journals.
He earned his bachelor’s degree in marketing from Florida Atlantic University. His MBA and Ph.D. in information and management sciences are both from Florida State University. Prior to returning to FSU as a faculty member in 1995, he taught at Ithaca College (1990-1991) and DePaul University (1991-1995).
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.
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. (1995). Note: A local-search heuristic for large set-covering problems. Naval Research Logistics, 42 (7), 1129-1140.
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., & Jacobs, L. W. (1998). Personnel tour scheduling when starting-time restrictions are present. Management Science, 44 (4), 534-547.
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., & Thompson, G. M. (1999). A morphing procedure to supplement a simulated annealing heuristic for cost- and coverage-correlated set-covering problems. Annals of Operations Research, 86, 611-627.
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. (2001). A simulated annealing heuristic for unidimensional and multidimensional (city-block) scaling of symmetric proximity matrices. Journal of Classification, 18 (1), 3-33.
Brusco, M. J. (2002). A branch-and-bound method for fitting anti-Robinson structures to symmetric dissimilarity matrices. Psychometrika, 67 (3), 459-471.
Brusco, M. J. (2004). Optimal solution methods for the minimum-backtracking row layout problem. IIE Transactions, 36 (1), 181-189.
Brusco, M. J. (2006). A repetitive branch-and-bound algorithm for minimum within-cluster sums of squares partitioning. Psychometrika, 71 (2), 347-363.
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. (2008). Scheduling advertising slots for television. Journal of the Operational Research Society, 59 (10), 1373-1382.
Brusco, M. J., & Köhn, H.-F. (2008). Comment on ‘Clustering by passing messages between data points’. Science, 319 (February 8), 726c.
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.
Brusco, M. J., & Steinley, D. (2011). Exact and approximate algorithms for variable selection in linear discriminant analysis. Computational Statistics and Data Analysis, 55 (1), 123-131.
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). An exact algorithm for maximizing grouping efficacy in part-machine clustering. IIE Transactions, 47 (6), 653-671.
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. (2017). Partitioning methods for pruning the Pareto set with application to multiobjective allocation of a cross-trained workforce. Computers & Industrial Engineering, 111, 29-38.
