Professor Deshmukh teaches analytical decision modeling on spreadsheets, probability and statistics, and operations management in Kellogg's MBA and EMBA programs. He has also taught applied stochastic processes and optimal statistical decisions in the MEDS doctoral program. His research interests involve probabilistic and stochastic optimization models of decisions involving time and uncertainty, with applications in management science and economics. Professor Deshmukh received his Bachelor of Engineering (Mechanical) degree from Pune University in India, Master of Science (Industrial Engineering) from Purdue University, and Ph. D. in Business Administration (Management Science) from University of California at Berkeley. He is a member of the Institute for Operations Research and Management Sciences (INFORMS).
Areas of Expertise
Optimization
Probability
Response Time Management
Risk Management
Total Quality Management
Education
PhD, 1971, Business Administration, University of California, Berkeley
MS, 1966, Industrial Engineering, Purdue University
BE, 1964, Mechanical Engineering, Pune University, India
Academic Positions
Charles E. Morrison Professor of Decision Sciences, Kellogg School of Management, Northwestern University, 2001-present
Co-Director, MMM Program, Northwestern University, 2006-2011
Professor of Decision Sciences, Kellogg School of Management, Northwestern University, 1980-2001
Assistant and Associate Professor of Decision Sciences, Kellogg School of Management, Northwestern University, 1971-1980
Teaching Interests
Analytical decision modeling on spreadsheets, decision making under uncertainty
Executive MBA
Risk Analysis (DECSX-450-0) This course introduces concepts, models, and methods for analyzing risk and making decisions under uncertainty. We will consider variety of business decision problems and cases involving risk, set them up on Excel spreadsheets, analyze and solve them using available tools and add-ins, and study their economic interpretation. In particular, we will employ methods of Monte Carlo simulation and decision analysis.
Analytical Decision Modeling (OPNSX-450-0) Analytical Decision Modeling focuses on structuring, analyzing and solving decision-problems spreadsheets. Problems involving optimal resource allocation and risk analysis are studied through applications in operations, finance and marketing. Some decision analysis, data analysis and forecasting is also covered. The course assumes working knowledge of Microsoft Excel.
Full-Time / Part-Time MBA
Analytical Decision Modeling (OPNS-450-0) This course counts toward the following majors: Decision Sciences, Managerial Analytics, Operations.
This course focuses on structuring, analyzing and solving managerial decision problems on Excel spreadsheets. We address problems of resource allocation (how to use available resources optimally), risk analysis (how to simulate the effects of uncertainty in problem parameters), decision analysis (how to analyze sequential decisions involving uncertainty), data analysis (how to synthesize the available data into useful information) and forecasting (how to extrapolate past observations into the future). In each area, we pose specific problems from operations, finance and marketing, structure them on Excel spreadsheets, and analyze and solve them using the available Excel commands, tools and add-ins. The course involves a hands-on, in-class learning experience in modeling and analyzing a variety of business decision problems on a common spreadsheet platform. It should, therefore, enhance one's problem-solving capabilities as well as spreadsheet skills. A good working knowledge of Microsoft Excel is required. Prerequisites: OPNS-430 and FINC-430/FINC-440. May be taken concurrently.