Chris Anderson is a professor at the Cornell Nolan School of Hotel Administration. Prior to his appointment in 2006, he was on the faculty at the Ivey School of Business in London, Ontario, Canada. Professor Anderson’s main research focus is on revenue management and service pricing. He actively works in the application and development of revenue management across numerous industry types, including hotels, airlines, and rental car and tour companies, as well as numerous consumer packaged goods and financial services firms. Professor Anderson’s research has been funded by numerous governmental agencies and industrial partners. He serves on the editorial board of the Journal of Revenue and Pricing Management and is the regional editor for the International Journal of Revenue Management. At the Nolan School of Hotel Administration, Professor Anderson teaches courses in revenue management and service operations management.
Optimization and Modeling Simultaneous DecisionsCornell Course
Simultaneous Decisions
Cornell CourseOptimization and Modeling Simultaneous Decisions ()
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Course Overview
In business, we don't often have the luxury of making one decision at a time; instead, we usually face multiple decisions at once, in highly complex situations where each decision has potentially far-reaching impacts. In this environment, professionals need a robust, quantifiable understanding of these ripple effects in order to meet business objectives and raise the odds of decision-making success. In this course, you will create and use data models for optimizing decision making in situations where resources are constrained—and two or more decisions whose consequences interact must be made simultaneously.
These courses are required to be completed prior to starting this course:
- Understanding and Visualizing Data
- Implementing Scientific Decision Making
- Using Predictive Data Analysis
- Modeling Uncertainty and Risk
Key Course Takeaways
- Create an optimization model
- Solve a linear model in Excel using the Solver add-in
- Make tactical decisions using shadow prices
- Set prices in a non-linear model Approximate an optimal solution for a non-linear model
- Use summary statistics to approximate optimal results for a stochastic problem
How It Works
Course Length
3 weeks
Effort
3-5 hours per week
Format
100% online, instructor-led
Course Author
Chris Anderson
Professor
Cornell Nolan School of Hotel Administration
Professor, Nolan School of Hotel Administration, Cornell SC Johnson College of Business
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- Management 360
- Data Analytics 360
- Revenue Management 360
- Data Analytics
- Hospitality Management
- Advanced Hospitality Revenue Management: Pricing and Demand Strategies
- Hospitality Digital Marketing
Who Should Enroll
- Analysts
- Functional Managers
- Executives
- Consultants
- Any professional that uses data to make business decisions
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