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One objective of 15.066J is to introduce modeling, optimization and simulation, as it applies to the study and analysis of manufacturing systems for decision support.
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Description
The introduction of optimization models and algorithms provide a framework to think about a wide range of issues that arise in manufacturing systems. The second objective is to expose students to a wide range of applications for these methods and models, and to integrate this material with their introduction to operations management.
Course content
- Introduction and Overview Unlimited
- LP (Linear Programming) – Introduction, Formulations and Geometry Unlimited
- LP (Linear Programming) – Example Unlimited
- Networks – Introduction Unlimited
- LP (Linear Programming) – Example Unlimited
- LP (Linear Programming) – Solution Methods and Sensitivity Analysis Unlimited
- Integer Programming – Formulations Unlimited
- Integer Programming – Algorithms Unlimited
- Introduction, Simulation Process and Stochastic Modeling Unlimited
- Monte-Carlo Theory and Examples (with Crystal Ball®) Unlimited
- Ontario Gateway Case Discussion Unlimited
- Experimental Design and Simulation Analysis Unlimited
- Advanced Modeling, Simulation-Based Optimization Unlimited
- Non Linear Programming – Formulations Unlimited
- NLP (Non Linear Programming) – Examples and Algorithms Unlimited
- Langrangean Example Unlimited
- Project Presentations and Class Summary Unlimited
Instructor
Massachusetts Institute of Technology
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