Course syllabus
010913644-65 ปฏิบัติการวิศวกรรมอุตสาหการ (Industrial Engineering Laboratory)
Course Syllabus
Data entry : Asst.Prof. Dr.Chayathach Phuaksaman
1. Course number and name
010913644-65 ปฏิบัติการวิศวกรรมอุตสาหการ (Industrial Engineering Laboratory)
2. Credits and contact hours
1(0-3-1)
3. Instructor’s or course coordinator’s name
Asst.Prof. Dr.Chayathach Phuaksaman
4. Text book, title, author, and year
- Motion and time study : for lean manufacturing 3rd ed. , Fred E. Meyers and James R. Stewart, (2002). Upper Saddle River, NJ : Prentice Hall.
- Operations management. 9th ed. International ed. ,Jay Heizer and Barry Render, (2008). Upper Saddle River, NJ : Pearson/Prentice-Hall.
5. Specific course information
- brief description of the content of the course (catalog description)
work study laboratory; rapid prototyping laboratory; design of experiment laboratory - prerequisites or co-requisites
010913123-65 Computer-aided Design
010913230-65 Industrial Work Study
010913333-65 Engineering Statistics - indicate whether a required, elective, or selected elective (as per Table 5-1) course in the program
Required :
6. Specific goals for the course
- specific outcomes of instruction (e.g. The student will be able to explain the significance of current research about a particular topic.)
- explicitly indicate which of the student outcomes listed in Criterion 3 or any other outcomes are addressed by the course.
ABET Student Outcome (SO) Listed in Criterion 3 Performance indicator SO6 an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions. - PI-6.1 Design an Experiment Plan (How to answer the Driving Question?) and Identify the factors and response variable
- PI-6.2 Acquire data on appropriate variables
- PI-6.3 Interpret experimental data and results with respect to appropriate theoretical models
- PI-6.4 Validate the model; Explain observed differences between model and experiment (bad model, bad measurements, noise, etc.) and draw conclusions
7. Brief list of topics to be covered
| Week | Topic | Details | Activities |
|---|---|---|---|
| 1-3 | Experiment on work study | ||
| 4-7 | Experiment on productivity improvement | ||
| 8-11 | Experiment on manufacturing practice | ||
| 12-15 | Experiment on rapid prototyping and design of experiment |
8. Course Assessment
| Course assessment | Weight score (%) | Assessment tools | Date |
|---|---|---|---|
| Lab report | 100 | report |
The grading table
| Grading | Rank |
|---|---|
| >= 80% | A |
| 73% - 79.99% | B+ |
| 66% - 72.99% | B |
| 59% - 65.99% | C+ |
| 52% - 58.99% | C |
| 46% - 51.99% | D+ |
| 40% - 45.99% | D |
| 0% - 39.99% | F |
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