| 1 |
1 |
绪论与总论
Introduction and Overview |
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2 |
线性规划—介绍、公式表达和几何表达
LP (Linear Programming) - Introduction, Formulations and Geometry |
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3 |
线性规划—例子
LP (Linear Programming) - Example |
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教学
Tutorial |
| 2 |
4 |
网络—介绍
Networks - Introduction |
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5 |
线性规划—例子
LP (Linear Programming) - Example |
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教学
Tutorial |
| 3 |
6 |
线性规划—例子：Tony Palumbo, Ford
LP (Linear Programming) - Example: Tony Palumbo, Ford |
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7 |
线性规划—解决方案和灵敏度分析
LP (Linear Programming) - Solution Methods and Sensitivity Analysis |
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教学
Tutorial |
| 4 |
8 |
整数规划—公式表达
Integer Programming - Formulations |
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9 |
整数规划—算法
Integer Programming - Algorithms |
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10 |
整数规划—启发式的
Integer Programming - Heuristics |
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教学
Tutorial |
| 5 |
11 |
听取库存仿真的情况（配合课程15.761）
Debriefing of Inventory Simulation (with 15.761) |
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12 |
随机线性规划(Linear Programming)
Stochastic LP (Linear Programming) |
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13 |
最优化实践：John Bean, Intel
Optimization in Practice: John Bean, Intel |
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教学
Tutorial |
| 6 |
14 |
仿真过程和随机性模型的介绍
Introduction, Simulation Process and Stochastic Modeling |
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15 |
Monte-Carlo理论和例子（用Crystal Ball®）
Monte-Carlo Theory and Examples (with Crystal Ball) |
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教学：Monte-Carlo建模和Crystal Ball®教学
Tutorial: Monte-Carlo Modeling and Crystal Ball® Tutorial |
| 7 |
16 |
Ontario Gateway案例讨论
Ontario Gateway Case Discussion |
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17 |
离散事件结构和例子（用SIMUL8®）
Discrete-Event Framework and Examples (with SIMUL8®) |
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18 |
约束理论（配合课程15.761）
Theory of Constraints (Joint Session with 15.761) |
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教学：离散事件建模和SIMUL8® 教学
Tutorial: Discrete-Event Modeling and SIMUL8® Tutorial |
| 8 |
19 |
离散事件案例的讨论
Discrete-Event Case Discussion |
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20 |
实验设计和模拟分析
Experimental Design and Simulation Analysis |
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21 |
先进模型、基于仿真的最优化
Advanced Modeling, Simulation-Based Optimization |
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教学：实验设计和模拟分析教学
Tutorial: Experimental Design and Simulation Analysis Tutorial |
| 9 |
22 |
非线性规划—公式表达
Non Linear Programming - Formulations |
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23 |
非线性规划—例子和算法
NLP (Non Linear Programming) - Examples and Algorithms |
| 10 |
24 |
项目演讲
Project Presentations |
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25 |
项目演讲
Project Presentations |
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26 |
项目演讲和课程总结
Project Presentations and Class Summary |
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教学
Tutorial |
