MEM6804 Modeling and Simulation for
MEM6804 Logistics and Supply Chain
MEM6804 物流与供应链建模与仿真

000000000... with Focus on Theory & Analysis

Basic Info

• Semester: Spring 2021 (for full-time master)
• Credits: 3
• Teaching Hours: 48
• Time: Wed. 18:00-20:20, 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, Arena and FlexSim, with applications in logistics and supply chain.

Lecturer

• Dr. SHEN Haihui 沈海辉
• Office: Middle Hall 305
• Email: shenhaihui@sjtu.edu.cn
• Office Hours: By Appointment

Teaching Assistant

• YAN Yingcui 严英翠
• Email: yan_yingcui@sjtu.edu.cn

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, Arena and FlexSim [Excel] [Arena] [FlexSim] [Videos]
• Lec 9: Output Analysis II: Comparison [Slides] [Print Ver]
• Lec 10: Output Analysis III: Optimization [Slides] [Print Ver]

Softwares

• Arena: Official trial version v14.70 [Download]
• FlexSim: Official trial version 20.0.10 [Download]

Supplementary Reading

• Elements of Probability and Statistics (For self-study only)
• Leibniz Integral Rule (For self-study only)
• 二重积分的变量变换 (For self-study only)
• Confidence Intervals and Hypothesis Tests for The Mean (For self-study only)

Online Resource

• Probability, Mathematical Statistics, Stochastic Processes (by Kyle Siegrist)
• More advanced materials on Confidence Intervals and Hypothesis Tests

Homework (40%)

• Assignment 1 (Due Date: March 24, in class)
• Assignment 2 (Due Date: April 7, in class)
• Assignment 3 (Due Date: May 12, in class)
• Assignment 4 (Due Date: June 2, in class)
• Assignment 5 (Due Date: June 9, on Canvas)

Final Exam (60%)

• Time: June 22 (Week 18), Tuesday, 6:00 PM - 8:20 PM
• 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: 2019 Fall

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.