MEM6810 Engineering Systems Modeling
MEM6810 and Simulation
MEM6810 工程系统建模与仿真

000000000... with Focus on Theory & Analysis

Basic Info

• Semester: Spring 2023 (for full-time master)
• Credits: 3
• Teaching Hours: 48
• Time: Tue 14:00-16:45, Week 1-16
• Venue: Middle Hall 301, Xuhui Campus
• Syllabus

Course Description

The class for full-time master students focuses more on the theory and analysis. It covers classical concepts and theories in discrete-event system simulation, mainly including queueing models, random variate generation, input modeling, and output analysis. Moreover, some algorithms for simulation optimization together with their analysis are touched. It also provides basic training on conducting simulation in Microsoft Excel and FlexSim, with applications in logistics and supply chain.

Lecturer

• Dr. SHEN Haihui 沈海辉
• Office: Middle Hall 108
• Email: shenhaihui@sjtu.edu.cn
• Office Hours: By Appointment

Teaching Assistant

• SHAO Yifei 邵毅飞
• Email: yfshao99@sjtu.edu.cn
• Office Hours: By Appointment

Lecture Notes

• Lec 1: Introduction to Simulation [Slides] [Print Ver]
• Lec 2: Elements of Probability and Statistics [Slides] [Print Ver]
• Lec 3: Queueing Models [Slides] [Print Ver]
• Lec 4: Random Variate Generation [Slides] [Print Ver]
• Lec 5: Input Modeling [Slides] [Print Ver]
• Lec 6: Verification and Validation of Simulation Models [Slides] [Print Ver]
• Lec 7: Output Analysis I: Single Model [Slides] [Print Ver]
• Lec 8: Simulation in Excel and FlexSim [Excel Files] [FlexSim Files]
• Lec 9: Output Analysis II: Comparison [Slides] [Print Ver]
• Lec 10: Output Analysis III: Optimization [Slides] [Print Ver]

Software

• FlexSim: Official trial version 20.0.10 [Download]

Supplementary Reading

• Leibniz Integral Rule (For self-study only)
• Applications of Dominated Convergence Theorem (For self-study only)
• 二重积分的变量变换 (For self-study only)
• The Poisson Process - Definition (For self-study only)
• The Poisson Process - Conditional Distribution (For self-study only)
• The Poisson Process - Nonhomogeneous (For self-study only)

Online Resource

• Probability, Mathematical Statistics, Stochastic Processes (by Kyle Siegrist)

Homework (40%)

• Assignment 1 (Due Date: March 28)
• Assignment 2 (Due Date: April 11)
• Assignment 3 (Due Date: April 25)
• Assignment 4 (Due Date: June 13)

Final Exam (60%)

• Time: June 16, 14:00-16:30
• Venue: Class Room 301
• Form: Paper & Pencil Test
  Form: Lecture notes, homework, and your own hand-written notes are allowed.
  Form: Also bring your calculator.
• Past Exam Paper

References

• Banks, Carson II, Nelson, and Nicol (2010). Discrete-Event System Simulation. Pearson, 5th Edition.
• Averill M. Law (2015). Simulation Modeling and Analysis. McGraw-Hill, 5th Edition.
• 肖田元, 范文慧 (译) (2007), Banks 等 (著). 离散事件系统仿真(原书第4版). 机械工业出版社.

Previous Semester

• Spring 2022