| Course Type | Elective Course |
|---|
| Course Level | Master's Degree With Thesis |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 10 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Can define scheduling problems.
- Will be able to determine the performance measure in scheduling problems.
- Develop suitable solution approaches for different scheduling problems.
- Interpret solutions to scheduling problems
- Can sort different jobs according to different criteria.
- Can assign multiple jobs to machines according to different criteria.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | |
|---|
| Course Description | |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Introduction to sequencing and scheduling, Notation, Classification of scheduling problems, performance criteria, Complexity |
|
2nd Week |
Single Machine Scheduling Problem Optimization Methods for Single Machine Scheduling Problem |
|
3rd Week |
Heuristic Methods for the Machine Scheduling Problem |
|
4th Week |
Metaheuristic Methods for the Machine Scheduling Problem |
|
5th Week |
Premature and Late Penalties for Machine Scheduling Problem |
|
6th Week |
Extending the Basic Model |
|
7th Week |
Parallel Machine Scheduling Problem |
|
8th Week |
Flow Type Scheduling Problem and Optimization Methods |
|
9th Week |
Midterm |
|
10th Week |
Heuristic Methods for the Flow Type Scheduling Problem |
|
11th Week |
Metaheuristic Methods for the Flow Type Scheduling Problem |
|
12th Week |
The Labor Party Split Approach |
|
13th Week |
Scheduling of Workgroups |
|
14th Week |
Workshop Scheduling Problem and Optimization Methods |
|
| Recommended or Required Reading | 1.Baker KR, Trietsch D., Principles of sequencing and scheduling. John Wiley & Sons, Inc., New Jersey, 2009.
2.Pinedo M., Scheduling: Theory, algorithms, and systems, 3rd edn. Prentice-Hall Inc., New Jersey, 2008. |
|---|
| Planned Learning Activities and Teaching Methods |
Powerpoint sunuları ile desteklenmiş etkileşimli anlatım.
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
20 |
| Quiz |
1 |
25 |
| Project |
1 |
25 |
| Total(%) |
|
70 |
| Contribution of In-term Studies to Overall Grade(%) |
|
70 |
| Contribution of Final Examination to Overall Grade(%) |
|
30 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
1 |
14 |
14 |
| Individual or group work |
14 |
13 |
182 |
| Preparation for Final exam |
1 |
25 |
25 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
25 |
25 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
1 |
14 |
14 |
| Total Work Load | 306 |
| Total Work Load / 30 (h) | 10.2 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
