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Managers and engineers are constantly attempting to optimize, particularly in the design and operation of complex systems.
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Description
This course is an application-oriented introduction to (systems) optimization. It seeks to:
- Motivate the use of optimization models to support managers and engineers in a wide variety of decision making situations;
- Show how several application domains (industries) use optimization;
- Introduce optimization modeling and solution techniques (including linear, non-linear, integer, and network optimization, and heuristic methods);
- Provide tools for interpreting and analyzing model-based solutions (sensitivity and post-optimality analysis, bounding techniques); and
- Develop the skills required to identify the opportunity and manage the implementation of an optimization-based decision support tool.
Course content
- Introduction Unlimited
- Network Models: Assignment & Transportation Unlimited
- Network Models: Shortest Path & Transshipment Unlimited
- Introduction to LP Unlimited
- Application: Revenue Optimization Unlimited
- Production Planning, Workforce Scheduling Unlimited
- Conflicting Objectives, Robust Optimization Unlimited
- Integer Programming Unlimited
- IP Modeling Unlimited
- Case Study: Ford Finished Vehicle Delivery Unlimited
- Non-Linear Programming Unlimited
- Application Portfolio Optimization Unlimited
- Non-Linear Programming Unlimited
- Heuristics I Unlimited
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Instructor
Massachusetts Institute of Technology
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