| Course Type | Elective Course |
|---|
| Course Level | Doctorate Of Science |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 10 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Gain an ability to apply knowledge of mathematics, science, and engineering
- Gain an ability to identify, formulate, and solve engineering problems
- Gain an ability to use the techniques, skills, and modern engineering tools necessary engineering practice
- learn the operational level decisions
- learn the scheduling problems and their solution methods and gain an ability to make operational level scheduling decisions
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | General-purpose scheduling procedures, time complexities, heuristic methods, deterministic scheduling problems with single-machine, parallel machine and serial work-flow, dynamic scheduling problems and identification of priorities, the overview of other scheduling problems, applications in production systems. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Basics of Scheduling Problems |
|
2nd Week |
Common Scheduling Problems |
|
3rd Week |
Single Machine Scheduling |
|
4th Week |
Scheduling in Parallel Machines |
|
5th Week |
Multiple Machine Scheduling |
|
6th Week |
Flow Shop and Job Shop Scheduling |
|
7th Week |
Permutation Scheduling |
|
8th Week |
Midterm |
|
9th Week |
Scheduling Criteria For Different Systems |
|
10th Week |
Static and Dynamic Scheduling Rules |
|
11th Week |
Solution Methods for Scheduling Problems |
|
12th Week |
Mathematical Models For Scheduling Problems |
|
13th Week |
Exact Solution Methods |
|
14th Week |
Heuristic Algorithms |
|
| Recommended or Required Reading | 1. Pinedo Michael, (2002) Scheduling: Theory, Algorithms, and Systems; Prentice Hall |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Questions/Answers
- Problem Solving
- Practice
- Presentation
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
25 |
| Assignment |
2 |
10 |
| Quiz |
4 |
10 |
| Project |
1 |
20 |
| Total(%) |
|
65 |
| Contribution of In-term Studies to Overall Grade(%) |
|
65 |
| Contribution of Final Examination to Overall Grade(%) |
|
35 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
4 |
14 |
56 |
| Individual or group work |
14 |
9 |
126 |
| Preparation for Final exam |
1 |
20 |
20 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
20 |
20 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
3 |
14 |
42 |
| Total Work Load | 310 |
| Total Work Load / 30 (h) | 10.33 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
