ENGR 5375 - Simulation of Industrial Systems

Last Update: Dec. 1, 2004 at 11:44 a.m.

Announcements:

Final project – Due Dec. 6 at 1:25 PM

Class #	Day	Date	Topics Planned
1	W	Aug. 25	Demonstrate ARENA, Read Ch.1 pp.3-16 for Aug. 30
2	M	Aug. 30	Ch 1, Ch 2 to p.26, Intro to Simulation, What is Simulation?, Read Ch.2 pp.19-43 for ?
3	W	Sept 1	Fundamental Simulation Concepts, Process Improvement, Simulation Basics, Ch2 Flowchart assignment Due Sept. 15, 2004 at 4:00 p.m. Problem-Suggestion-Benefit Format Template Read more about flowcharts and other problem solving tools here: http://deming.eng.clemson.edu/pub/tutorials/qctools/stdntndx.htm Read Ch. 3 pp. 49-96 for ?
4	M	Sept 6	No Class – Holiday,
5	W	Sept 8	Ch3, Read Ch. 4 pp.103-120
6	M	Sept 13	Ch4, Read Ch. 4 pp.120-144
7	W	Sept 15	Ch4, Read Ch. 4 pp.144-168
8	M	Sept 20	Ch4, Read Ch. 4 pp.177-192
9	W	Sept 22	Ch 5, Read Ch. 4 pp. 192-208, Project 1
10	M	Sept 27	Lego demonstration,
11	W	Sept 29	Ch. 5, In class problem from Ch4 (work in teams of 2)
12	M	Oct 4	Ch. 5, p.208-233, In class problem from Ch5 (work in teams of 2)
13	W	Oct 6	Ch. 5, pp.233-247, In class problem from Ch5 (work in teams of 2)
14	M	Oct 11	Project 2, Ch. 6 pp.257-265,
15	W	Oct 13	Ch. 6 pp.265-279
16	M	Oct 18	Ch 7, pp.285-300
17	W	Oct 20	Ch 7, (short class – Ryan goes to committee meeting at 2:00)
18	M	Oct 25	Ch 7, In class problem from Ch7 (work in teams of 2), Project 3
19	W	Oct 27	Data Collection and Analysis, Conducting Simulation Studies,
20	M	Nov 1	Ch 8,
21	W	Nov 3	Ch 8,
22	M	Nov 8	Ch 9, Ch 10, Project 4,
23	W	Nov 10	Ch 5 - Mean, Variance,
24	M	Nov 15	Ch 8 - Point and Interval Estimators,
25	W	Nov 17	Ch 9 - Hypothesis Tests,
26	M	Nov 22	Ch 10 - Hypothesis Tests - 2 means
27	W	Nov 24	No class
28	M	Nov 29	Ch 13 - ANOVA - Single Factor, Ch 14 - ANOVA - 2 factor,
29	W	Dec 1
30	M	Dec 6	Final Exam Review, Turn in final project and evaluate the course
31	W	Dec 8	Final Exam 11:00 - 1:30 p.m.

Syllabus

Fall 2004

Instructor: Dr. Ryan Underdown

Office: 2202 Cherry Engineering, (409) 880 - 8815

E-mail: r_underdown@hotmail.com

Office Hours: 1:00 – 3:00 a.m. Tuesday and Thursday. Others by appointment.

Class Web site: http://dept.lamar.edu/industrial/Underdown/Simulation/ENGR_5375_Fall_2004.htm

Textbook: Kelton, W. David, Sadowski, Randall P. and Sadowki, Deborah A, Simulation With Arena 3rd Edition, McGraw-Hill, Boston, 2004

Goals: To provide students with the real-world opportunity to identify, investigate and solve problems in industrial engineering systems using computer simulation.

Teaching Assistant:

Teaching Assistant:

Office:

E-mail:

Office Hours:

Computer Usage – Students will use the following software in this class:

• Microsoft Office Suite XP including: Word, Excel, and Powerpoint
• Microsoft Windows XP
• Microsoft Internet Explorer 6.0 
• ARENA 7.0

College of Engineering Computer Policies

1. Do not change any settings on the computers in any Lamar University computer lab
2. Save all files to a 3.5 inch disk, CD or USB drive
3. Do not download any files from the internet unless specified by an instructor.
4. Bring a 3.5 inch disk, CD or USB drive to class everyday to save your files.

Undergraduate Grading:

30% Final Exam – December 8, 2004 from 11:00 – 1:30 p.m.

10% Quizzes

28% Assigned problems (4 at 7% each)

32% Simulation Project (work in pairs) - Due December 6, 2004

100% Total

Graduate Grading:

30% Final Exam – December 8, 2004 from 11:00 – 1:30 p.m.

10% Quizzes

28% Assigned problems (4 at 5% each)

32% Simulation Project (with additional material such as literature review, extensive statistical analysis, or visual basic interface) - Due December 6, 2004

100% Total

Required reading:

Read chapters, web pages and articles before coming to class

Project:

Due December 6, 2004 at 4:00 p.m. (Requirements revised Dec. 1, 2004)

Complete a project on a physical system, including data collection, model building, programming, and output interpretation. Undergraduate students and graduate students can form a group of two.

Make sure your project is organized

All projects will be typed and have the following content areas:

1. Cover page with your name, date and Project Title
2. Table of Contents
3. Introduction: Description of the system you are modeling

· Flowchart of process

· Layout

· What is it?, Why is it important,

· Problem Statement – what problem you are addressing

4. Data Collection methodology: Describe how you collected each set of data. Be specific: state the beginning and end of each process you studied. Include a spreadsheet that identifies the activity that you are collecting data on, start and end points.
5. Data Collection: List the data you collected
6. Print out of model(s)
7. Print out of numerical results
8. Data Analysis: Describe how you analyzed the data.

· Provide print outs of your Input Analyzer results

· Discussion of how you used the results in your simulation model.

· Include reports from OptQuest, PAN and Minitab if you used them.

· Statistical analysis – hypothesis testing, ANOVA

9. Modeling assumptions discussion
10. Validation and verification discussion
11. Identify bottlenecks/problems in the system with numerical results and discussion. (provide a complete discussion)
12. Design a new process(es) – develop alternative processes (models) that will overcome the bottleneck or other problem(s). Discuss the details of each change you made to the process. Include numerical data and print outs to support your claims
13. Discussion of how the improved model(s) is better than the original model including a summary chart showing the numerical differences and benefits
14. Conclusions – identify the model you recommend to be implemented and describe why you recommend this model. Address issues such as optimality, practical implementation problems, criteria by which your selection was made.
15. Appendix: All raw data used in your model and other items you feel important to include
16. Disk with your ARENA model. Label the disk with your name and project number and name the file is saved under

Clearly indicate each section listed above with a heading and tab (if necessary). Projects that are not clearly labeled will lose points.

Do not include meaningless pages of printouts

Grading Criteria for Projects

20% - How close the model represents reality as described in the problem statement

Answers to the questions, both quantitative and qualitative

30% - Recommendations for improvement

Recommendations should be as specific as possible in terms of people, equipment, time, money, etc…needed to implement the solutions and the anticipated benefits. Reports that do not specify specific improvements and specific anticipated results will lose points.

20% - Appearance of project, both on paper and on the computer (this is where animation can come into play)

The report should be easy to follow and well organized. Reports that are unorganized, (include items out of order as order is defined in the Project Requirements below) will lose points.

The simulation model should be easy to follow (easy to understand what is happening)

30% - Class comparison - after grading all projects based upon the above criteria, I will make a second pass considering each project against the quality of projects provided by other students.

Suggestion: Only work with class members to get the basic model working. Work on your own to develop recommendations and improved versions.

If you present good work, you will be rewarded with good grades. Good luck!

Important Dates:

Sept. 6, 2004 – No classes: Labor Day

Oct. 6, 2003 – Last day to drop without academic penalty

Nov. 12, 2003 – Last day to drop/withdraw

Cell phones, pagers and other communication devices:

Students are asked to have their communication devices on a silent mode during class. These devices must be placed out of sight during an exam.

Attendance and Drop Policy:

Students are required to read and be prepared to discuss the assigned textbook chapters workbook exercises before attending the class session in which they will be discussed.

Class attendance and lateness policies will be discussed during the first week of class. Those policies include by reference all provision for grade adjustment or drop policies included in the applicable Graduate or Undergraduate Catalog in effect at the start of the semester.

NO STUDENT WILL BE DROPPED FROM THE CLASS ROLLS FOR NEVER ATTENDING OR EXCESSIVE ABSENCES.

A student dropping a course after the Census Date but on or before the appropriate final drop date will receive a grade of "W" only if at the time of dropping, the student is passing the course (has a grade of A, B, C, or D); otherwise an F will be received.

Absences Based on Religious Beliefs:

A student who misses an examination, work assignment, or other project due to the observance of a religious holy day will be given the opportunity to complete the work missed within 15 days following the due date of the assignment, test, or other project missed. To be eligible for such a make-up, the student must notify me in writing of classes scheduled on dates he or she will be absent to observe a religious holy day. Notification must be made within the first 15 (fifteen) class days through either a written correspondence, personal delivered, acknowledged and dated by me or written correspondence sent certified mail, return receipt requested to me. Failure to follow the rules provided above within the time frames listed will result in the absence being considered unexcused.

Americans With Disabilities Act (ADA):

Lamar University is on record as being committed to both the spirit and letter of the ADA to make reasonable adjustments in the classroom necessary to eliminate discrimination on the basis of disability. Students should meet with the Instructor during the first week of class to discuss their special needs and advise the instructor of any special needs, abilities or limitations and to discuss the instructor’s expectations in class participation, performance and work standards. Any disclosure by the students of their need for accommodations is recognized to be extremely sensitive and all conversations and other communications will be kept protected and confidential and disclosed on a need-to-know basis only.

Students are responsible for contacting and consulting with the University’s Office for Students with Disabilities prior to contacting the instructor about any disabilities. The student should provide the instructor with some form of written documentation of the disability from an acceptable, external sources (such as a doctor, psychiatrist, etc.) and from the Office for Students with Disabilities.

Academic Dishonesty:

All students are expected to pursue their scholastic careers with honesty and integrity.

It is the philosophy of this Department, this instructor and Lamar University that academic dishonesty is a completely unacceptable mode of conduct and will not be tolerated in any form. All persons involved in academic dishonesty will be disciplined in accordance with University regulations and procedures. Discipline may include suspension or expulsion from the University.

"Academic dishonesty includes, but is not limited to, cheating, plagiarism, collusion, the submission of credit of any work or materials that are attributable in whole or in part to another person, taking an examination for another person, or any act designed to give unfair advantage to a student or the attempt to commit such acts."

Make Up Exams:

Final exam grade replaces missed exam grade. The test will be comprehensive covering the entire semester of material. Students who wish to use this option must inform me via e-mail 1 week prior to the final exam.

Attendance and Participation:

I encourage you to participate in class discussions and attend class regularly. The more you participate on a regular basis, the more you will gain from this course. Effective participation requires good preparation therefore I absolutely encourage you to read the material before class. therefore I absolutely encourage you to read the material before class.