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Teaching
BUDT 732 - Decision Analysis with Spreadsheets
The applicability and use of decision and management science models have increased dramatically in
recent years due to the extraordinary improvements in computer, information and communication
technologies. These developments in hardware and user interfaces such as spreadsheets have been
complemented by the availability of large volumes of data, such as the automatic capture of
point-of-sale information, and easy access to large databases. In this course, we will examine ways
in which complex managerial problems can be tackled with decision models using spreadsheets.
Click here for Spring 2007 syllabus.
The objectives of the course are as follows:
- To enable the students to find some structured ways of dealing with complex managerial decision problems
- To introduce students to simple decision models and management science ideas that provide powerful and (often surprising) qualitative insights about a large spectrum of managerial problems
- To provide students with tools for deciding when and which decision models to use for the specific problems
- To give the students a feel for the kinds of problems that can be tackled using spreadsheet modeling and decision analysis
- To provide the students with more powerful ways of using spreadsheets which will be a ubiquitous tool in their managerial careers
BUDT 724 - Operations Management
A firm has the opportunity to create competitive advantage through proficient management of its operations. To do so, the firm must first recognize and establish the strategic role of its operations within the organization. Then, at the more detailed operational level, the firm must execute effectively and efficiently. This course examines the strategic role that the operations function can play, and offers tools and techniques that the firm can use for strategy execution. We cover concepts of operations management applied to both manufacturing and services, which can be divided into two broad areas. The first area includes operations strategy, process analysis and design, which include analysis of process flows and bottlenecks, waiting line models, total quality management and six–sigma. The second is supply-chain management, which includes forecasting, lean operations and JIT, revenue management, and advanced topics in inventory management.
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