Mitchell Burman was recently selected as an Executive Fellow at the Return on Artificial Intelligence Institute. Before that, he was a Senior Analytics Advisor globally for BCG and then McKinsey & Co. He has served over 400 clients and 700 projects in the Manufacturing, Distribution, Services, Transportation, Mining and Retail sectors on topics including supply chain, pricing, forecasting and productivity.

Mitchell holds an MS and PhD degree in Operations Research from MIT.

His experience includes teaching the following courses:

Probability and Statistics, MIT Electrical Engineering

Manufacturing Systems Engineering, MIT Mechanical Engineering

Quantitative Supply Chain Management and Decision Models, MIT Sloan School

Operations Management, The Wharton School

Prior to McKinsey, Mitchell founded Analytics Operations Engineering (a McKinsey acquisition).

Education

  • BA Colgate University – Mathematical Economics
  • MS Massachusetts Institute of Technology – Operations Research
  • PhD Massachusetts Institute of Technology – Operations Research

Selected Publications

  • B. Gershwin and M. H. Burman, “A Decomposition Method for Analyzing Nonhomogeneous Assembly/Disassembly Systems,” Annals of Operations Research, Volume 93, pp. 91-116, 2000.
  • Burman, M., Gershwin, S. B., and Suyematsu, C., “Hewlett-Packard Uses Operations Research to Improve the Design of a Printer Production Line,” Interfaces, Volume 28, Number 1, January-February, 1998, pp. 24–36.
  • Burman, M. H. and Gershwin, S. B. “A Real-Time Dynamic Lot-Sizing Heuristic for a Manufacturing System Subject to Random Setup Times,” International Journal of Production Research, 1996.
  • September, 1995, “First Steps Toward an Analytical Manufacturing Toolkit,” by Mitchell H. Burman and Stanley B. Gershwin, Third European Control Conference ECC95, Rome, Italy, presented by Burman.
  • October 24, 1994 “A Throughput Approximation for a Multistage Transfer Line with Multiple Unreliable Machines at Each Stage,” by M. H. Burman and S. B. Gershwin, ORSA/TIMS Detroit, presented by Burman.
  • April, 1994, “Analysis of Two-Machine Transfer Lines with Finite Unreliable Buffers, ” by M. H. Burman and S. B. Gershwin, ORSA/TIMS, Boston, presented by Burman.
  • October, 1993, “A Real-Time Dynamic Lot-Sizing Heuristic for a Manufacturing System Subject to Random Setup Times,” by M. H. Burman and S. B. Gershwin, POMS (Production and Operations Management Society), Boston , presented by Burman.
  • July, 1993 “A Two-Stage Closed Loop Control Heuristic for Scheduling a Manufacturing System Subject to Random and Significant Setup Times,” by M. H. Burman and S. B. Gershwin, IFAC Congress, Sydney, Australia (presented by M. H. Burman). Proceedings Vol. X, pp. 333-337.
  • July, 1992, “An Algorithm for the Scheduling of Setups and Production to Meet Due Dates,” by Burman, M. H., and Gershwin, S. B., Joint US/German Conference on New Directions for Operations Research in Manufacturing. Presented by M. H. Burman.
  • Burman, M. H. and Gershwin, S. B., “A Closed Loop Control Heuristic for Scheduling a Manufacturing System Subject to Random Setup Times,” Operations Research in Production Planning and Control — Proceedings of a Joint German/US Conference, Hagen, Germany, June 25-26, 1992, Springer-Verlag, pp. 293-306, presented by Burman.
  • Burman, M. H. and Gershwin, S. B., “An Algorithm for the Scheduling of Setups and Production to Meet Due Dates,” Proceedings of the 1992 IEEE International Conference on Robotics and Automation, Nice, France, May, 1992, presented by Burman.
  • July, 1991, “Setup Changes as Part of a Hierarchical Real-Time Controller for a Manufacturing System,” by Violette, J. D., Burman, M. H., and Gershwin, S. B., Joint US/German Conference on New Directions for Operations Research in Manufacturing. Presented by M. H. Burman.