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Sudhakar D. Deshmukh
Sudhakar D. Deshmukh

MANAGERIAL ECONOMICS & DECISION SCIENCES; OPERATIONS; THE MMM PROGRAM
Charles E. Morrison Professor of Decision Sciences, Co-Director MMM Program

Print Overview
Professor Deshmukh teaches analytical decision modeling on spreadsheets, probability and statistics, and operations management in Kellogg's MBA, EMBA and MMM 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
Print Vita
Education
PhD, 1971, Business Administration, University of California, Berkeley
MS, 1966, Industrial Engineering, Purdue University
BE, 1964, Mechanical Engineering, Pune University, India

Academic Positions
Co-Director, MMM Program, Northwestern University, 2006-present
Charles E. Morrison Professor of Decision Sciences, Kellogg School of Management, Northwestern University, 2001-present
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

 
Print Research
Research Interests
Applied probability and stochastic optimization models of decisions involving time and uncertainty, with applications in management science and economics

Articles
Chikte, Shirish D. and Sudhakar D. Deshmukh. 1987. The Role of External Search in Bilateral Bargaining. Operations Research. 35(2): 198-205.
AbstractLink
Deshmukh, Sudhakar D. and Stanley R. Pliska. 1985. A Martingale Characterization of the Price of a Nonrenewable Resource with Decisions Involving Uncertainty. Journal of Economic Theory. 35(2): 322-342.
Abstract
Deshmukh, Sudhakar D., Stuart I. Greenbaum and George Kanatas. 1983. Interest Rate Uncertainty and Financial Intermediary's Choice of Exposure. Journal of Finance. 38(1): 141-147.
Deshmukh, Sudhakar D., Stuart I. Greenbaum and George Kanatas. 1983. Lending Policies of Financial Intermediaries Facing Credit and Funding Risks. Journal of Finance. 38(3): 873-886.
Deshmukh, Sudhakar D. and Stanley R. Pliska. 1983. Optimal Consumption of a Nonrenewable Resource with Stochastic Discoveries and a Random Environment. Review of Economic Studies. 50(3): 543-554.
Abstract
Deshmukh, Sudhakar D., Stuart I. Greenbaum and George Kanatas. 1982. Bank Forward Lending in Alternative Funding Environment. Journal of Finance. 37(4): 925-940.
Deshmukh, Sudhakar D., Stuart I. Greenbaum and Anjan V. Thakor. 1982. Capital Accumulation and Deposit Pricing in Mutual Financial Institutions. Journal of Financial and Quantitative Analysis. 17(4): 705-725.
Chikte, Shirish D. and Sudhakar D. Deshmukh. 1981. Preventive Maintenance and Replacement Under Additive Damage. Naval Research Logistics Quarterly. 28(1): 33-46.
Deshmukh, Sudhakar D. and Shirish D. Chikte. 1980. A Unified Approach for Modeling and Analyzing New Product R&D Decisions. TIMS Studies in Management Sciences. 15
Deshmukh, Sudhakar D. and Stanley R. Pliska. 1980. Optimal Consumption and Exploration of Nonrenewable Resources Under Uncertainty. Econometrica. 48(1): 177-200.
Abstract
Deshmukh, Sudhakar D. and Wayne L. Winston. 1979. Stochastic Control of Competition Through Prices. Operations Research. 27(3): 583-594.
Deshmukh, Sudhakar D. and Wayne L. Winston. 1978. A Zero-Sum Stochastic Game Model of Duopoly. International Journal of Game Theory. 7(1): 19-30.
Deshmukh, Sudhakar D. and Wayne L. Winston. 1977. A Controlled Birth and Death Process Model of Optimal Product Pricing Under Stochastically Changing Demand. Journal of Applied Probability. 14(2): 328-339.
Deshmukh, Sudhakar D. and Suresh Jain. 1977. Capacity Design and Service Quality Control in a Queueing System. Operations Research. 25(4): 651-661.
Deshmukh, Sudhakar D. and Shirish D. Chikte. 1977. Dynamic Investment Strategies for a Risky R&D Project. Journal of Applied Probability. 14(1): 144-152.
Deshmukh, Sudhakar D. and Shirish D. Chikte. 1977. Stochastic Evolution and Control of an Economic Activity. Journal of Economic Theory. 15(1): 112-122.
Balachandran, Bala and Sudhakar D. Deshmukh. 1976. A Stochastic Model of Persuasive Communication. Management Science. 22(8): 829-840.
Deshmukh, Sudhakar D. and Shirish D. Chikte. 1976. Dynamic Pricing with Stochastic Entry. Review of Economic Studies. 43(1): 91-97.
Balachandran, Bala and Sudhakar D. Deshmukh. 1976. Storage Decisions in Information Systems. AIEE Transactions. 8(3)
Deshmukh, Sudhakar D.. 1974. Computational Delays. Management Science. 21(3): 330-340.
Deshmukh, Sudhakar D. and Shirish D. Chikte. 1974. Optimal Delays in Decision and Control. IEEE Transactions on Automatic Control. 19(4): 412-416.
Deshmukh, Sudhakar D.. 1973. Computational Stopping. Omega. 1(5): 603-611.
Working Papers
Chikte, Shirish D. and Sudhakar D. Deshmukh. 2008. New Product Introduction Under Competition.
Abstract
Chikte, Shirish D. and Sudhakar D. Deshmukh. To be the First or to be the Best: New Product Quality and Timing in R&D Competition.
Books
Anupindi, Ravi, Sunil Chopra, Sudhakar D. Deshmukh, Jan A. Van Mieghem and Eitan Zemel. 2006. Managing Business Process Flows: Principles of Operations Management. Prentice Hall, 2nd edition.
Abstract
Anupindi, Ravi, Sunil Chopra, Sudhakar D. Deshmukh, Jan A. Van Mieghem and Eitan Zemel. 1999. Managing Business Process Flows. Prentice Hall.

 
Print Teaching
Teaching Interests
Analytical decision modeling on spreadsheets, decision making under uncertainty
Full-Time / Part-Time MBA
Operations Management (OPNS-440-A)
This course will cover probabilistic and statistical methods for operations. Topics include probability distributions of random variables and their linear combinations, confidence intervals, hypothesis testing, regression analysis and time series forecasting. Prerequisites: enrollment in the MMM Program

Analytical Methods for Operations (OPNS-440-B)
This course will cover modeling, analysis, and interpretation of operations problems on Excel spreadsheets. Topics include optimal resource allocation by Solver, risk analysis by Monte Carlo simulation, and Bayesian decision analysis. Prerequisites: Background in basic probability and statistics, and enrollment in the MMM Program

Spreadsheet Modeling for Managerial Decisions (OPNS-450-0)

This course counts toward the following majors: Analytical Consulting, Decision Sciences, 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.

Executive MBA
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.