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Course Details

Spring 2016-2017
* ORF 360   Graded A-F, P/D/F, Audit

Decision Modeling in Business Analytics

Mengdi Wang

This is an introductory course to decision methods and modeling in business and operations management. The course will emphasize both mathematical decision-making techniques, as well as popular data-based decision models arising from real applications. Upon completion of this course students will have learned analytical tools for modeling and optimizing business decisions. From a practical perspective, this will be a first course that gives an overview of advanced operations research topics including revenue management, supply chain management, network management, and pricing.

Sample reading list:
Bertsimas, Dimitris, Robert Freund, Data, Models, and Decisions
Winston, Wayne, Operations Research: Applications and Algorithms
Simchi-Levi, David, Philip Kaminsky and E. Simchi-Levi, Designing and Managing the Supply Chain
Nagle, Thomas T., and John Hogan, The Strategy and Tactics of Pricing

Reading/Writing assignments:
Assignments and Final Project will involve mathematical modeling and problem solving, as well as case studies of real applications. For the final project, the students will be asked to independently identify decision problems in the real world, formulate the mathematic models, and design solutions/strategies.

Requirements/Grading:
Mid Term Exam - 30%
Problem set(s) - 30%
Other (See Instructor) - 40%

Other Requirements:
Statistical, design or other software use required

Prerequisites and Restrictions:
ORF 245, ORF 307, ORF 309, or approval by instructor.

Other information:
Matlab, R

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
40400 L01 3:00 pm - 4:20 pm T Th   Robertson Hall   001   Enrolled:39 Limit:45