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 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 focused primarily on models and methods for scheduling, clustering and sequencing. He has published papers on these and other topics in Annals of Operations Research, Computational Statistics and Data Analysis, Computers and Operations Research, Decision Sciences, Decision Support Systems, European Journal of Operational Research, Expert Systems with Applications, IIE Transactions, International Journal of Production Economics, Journal of Marketing, Journal of Marketing Research, Journal of the Operational Research Society, Journal of Operations Management, Journal of Supply Chain Management, Management Science, Marketing Science, Naval Research Logistics, Operations Research, Optimization Letters, Science, Statistical Analysis and Data Mining, Technometrics, and numerous other journals. More recently, he has worked on the development of Excel spreadsheets for business analytics and operations management courses. This work has been published in several pedagogical journals and will appear in the forthcoming book Linear and Nonlinear Optimization Using Spreadsheets (World Scientific, expected release date November 2024).
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.
Bechtold, S. E., & Brusco, M. J. (1994). Working set generation methods for labor tour scheduling. European Journal of Operational Research, 74 (3), 540-551.
Bechtold, S. E., & Brusco, M. J. (1994). A microcomputer-based heuristic for tour scheduling of a mixed workforce. Computers and Operations Research, 21 (9), 1001-1009.
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., Thompson, G. M., & Jacobs, L. W (1997). A morph-based simulated annealing heuristic for a modified bin-packing problem. Journal of the Operational Research Society, 48 (4), 433-439.
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., 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., 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. (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. Retrieved from http://www.sciencemag.org/content/319/5864/726.3.full.pdf
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.
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., 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., Köhn, H.-F., & Steinley, D. (2013). Exact and approximate methods for a one-dimensional minimax bin-packing problem. Annals of Operations Research, 206 (July), 611-626.
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.
Ilk, N., Brusco, M., & Goes, P. (2018). Workforce management in omnichannel service centers with heterogeneous channel response urgencies. Decision Support Systems, 105 (January), 13-23.
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.
Stolze, H. J., Brusco, M. J., & Smith, J. S. (2021). Exploring the social mechanisms for variation reduction for direct store delivery (DSD) and vendor managed inventory performance: An integrated network governance and coordination theory perspective. International Journal of Production Economics, 234, Article 108025, pp. 1-10.
Brusco, M. J., & Steinley, D. (2022). A variable neighborhood search heuristic for nonnegative matrix factorization with application to microarray data. Optimization Letters, 16 (1), 153-174.
Brusco, M. J., Steinley, D., & Watts, A. L. (in press). A maximal-clique-based set-covering approach to overlapping community detection. Optimization Letters.
