Jeffrey Camm is Senior Associate Dean for Faculty and the Inmar Presidential Chair of Analytics at the Wake Forest University School of Business. From 2015-2022, he served as the Associate Dean for Business Analytics programs and led the creation and launch of both the on-campus and on-line MS in Business Analytics programs.

Dr. Camm's scholarship is on the application of optimization modeling to difficult decision problems in a diverse set of application areas including, operations planning and scheduling, supply chain optimization, product design, and conservation. His research has been featured in Business Week/Financial Times-ranked academic journals such as Management Science and Operations Research as well as the renowned journal Science.

Professor Camm has received a number of teaching awards including the 2006 INFORMS Prize for the Teaching of OR/MS practice. He is coauthor of ten texts on business statistics, management science, and business analytics. He has also been active in the profession, serving in numerous roles within INFORMS, including six years as the editor in chief of Interfaces, the INFORMS journal on practice. He received the 2016 George E. Kimball Medal for distinguished service to the operations research profession and in 2017 he was named an INFORMS Fellow.

Professor Camm received his PhD in Management Science from Clemson University and a BS in Mathematics from Xavier University. He previously held the Joseph S. Stern Chair in Business Analytics in the Lindner College of Business at the University of Cincinnati, where he served as department head for twenty years, was awarded the life-time appointment as a Fellow of the Graduate School, and was the founding director of the UC Center for Business Analytics. He has also held positions of visiting professor of business administration at the Tuck school of Business at Dartmouth College and visiting scholar at Stanford University. He has consulted for numerous corporations including Procter and Gamble, Owens Corning, GE, Tyco, Ace Hardware, Boar's Head, Brooks Running Shoes and Kroger among others.

Optimization,
Supply Chain Design

• Ph D, Clemson University (Management Science) - 1984
• BS, Xavier University (Mathematics) - 1980

Research Interests

• Optimization modeling and algorithms

Teaching Interests

• Business Analytics, Optimization

• Camm, J., Christman, J.,  Naraynan, A. (Forthcoming). Total Unduplicated Reach and Frequency Optimization at Procter & Gamble. INFORMS Journal on Applied Analytics.
• Camm, J.,  Davenport, T. H. (2020). Data Science Quarantined. MIT Sloan Management Review (online)
• Camm, J., Bowers, M. R.,  Davenport, T. H. (2020). The Recession's Impact on Analytics and Data Science. MIT Sloan Management Review (online)
• Fry, M. J., Camm, J. D.,  Wegryn, G. (2020). Next Lives Here: Forging Academic-Industry Partnerships in Analytics at the University of Cincinnati. INFORMS Journal on Applied Analytics, 50 (3),  166-175.
• Camm, J., Cochran, J., Fry, M., Ohlmann, J.,  , . (2020).Business Analytics 4e. Cengage.
• Bowers, M., Camm, J.,  Chavraborty, G. (2018). The Evolution of Analytics and Implications for Industry and Academic Programs. Interfaces, 48 (6),  13 pages.
• Camm, J. (2018). How to Influence and Improve Decisions Through Optimization Models.   (Ed.), Tutorials in Operations Research : INFORMS.
• Camm, J., Fry, M. J.,  Shaffer, J. (2017). A Practitioner's Guide to Best Practices in Data Visualization. Interfaces, 47 (6),  473-488.
• Camm, J., Magazine, M., Kuppusamy, S., Martin, K.,  , . (2017). The Demand Weighted Vehicle Routing Problem. European Journal of Operational Research, 262 (1),  151-162.
• Womer, K., Li, H., Camm, J., Osterman, C.,  Radhakrishnan, R. (2017). Learning and Bayesian updating in long-cycle made-to-order (MTO) production. Omega, 69,  29-42.
• Camm, J., Cochran, J., Fry, M., Ohlmann, J., Anderson, D., Sweeney, D.,  Williams, T. (2016).Essentials of Business Analytics 2e. .
• Anderson, D., Sweeney, D., Williams, T., Camm, J. D.,  Cochran, J. (2016).Statistics for Business & Economics 13e. Cengage.
• Camm, J. D., Cochran, J.,  Gorman, M. (2015). A Survey of Academic Use of Interfaces. Interfaces, 45 (2),  187-195.
• Anderson, D., Sweeney, D., Williams, T., Camm, J., Cochran, J., Fry, M.,  Ohlmann, J. (2015).An Introduction to Management Science: Quantitative Approaches to Decision Making 14th Edition. .
• Anderson, D., Sweeney, D., Williams, T., Camm, J., Cochran, J., Fry, M.,  Ohlmann, J. (2015).Quantitative Methods for Business 13th Edition. .
• Camm, J. D. (2014). A (very) Short Course on Suboptimization. Interfaces, 44 (4),  428-431.
• Cochran, J. J., Levy, M. S.,  Camm, J. D. (2010). Bayesian Coverage Optimization Models. The Journal of Combinatorial Optimization, 19 (2),  158-173.
• Camm, J. D. (2009). A Branch-and-Price Approach to the Share-of-Choice Product Line Design Problem. Management Science, 55 (10),  1718-1728.
• Camm, J. D., Magazine, M., Polak, G.,  Zaric, G. (2008). Scheduling Parallel Assembly Lines to Minimize a Shared Pool of Labor. IIE Transactions, 40 (8),  749-758.
• Camm, J. D. (2008). Where to put things? Spatial land management to sustain biodiversity and economic returns. Biological Conservation, 141 (6),  1505-1524.
• Camm, J. D. (2006). Conjoint Optimization: An Exact Algorithm for the Share-of-Choice Problem. Management Science, 52 (3),  435-447.
• Camm, J., Cochran, J., Fry, M.,  Ohlmann, J. Statistics for Business and Economics 14e. Cengage.
• Camm, J., Cochran, J., Fry, M.,  Ohlmann, J. Essentials ofStatistics for Business & Economics9e. .
• Camm, J., Cochran, J., Fry, M.,  Ohlmann, J. Essentials of Modern Business Statistics 8e. Cengage.
• Camm, J., Cochran, J., Fry, M.,  Ohlmann, J. Modern Business Statistics 7e. Cengage.

• 2017 - INFORMS Fellow, INFORMS
• 2016 - George E. Kimball Medal, INFORMS
• 2006 - INFORMS Prize for Teaching of OR/MS Practice, INFORMS
• 2006 - Supply Chain Rainmaker, DC Velocity Magazine
• 2001 - Dornoff Fellow of Teaching Excellence, University of Cincinnati, Lindner College of Business
• 1996 - Edelman Laureate , INFORMS

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