Manufacturing Execution Systems Operator
Course Details
KTO KARATAY UNIVERSITY
Trade and Industry Vocational School
Programme of Manufacturing Execution Systems Operator
Course Details
Trade and Industry Vocational School
Programme of Manufacturing Execution Systems Operator
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 07830101 | System and Equipment Performance Analysis | 2 | Autumn | 3 | 2+2+0 | 5 | 5 |
| Course Type | Compulsory |
| Course Cycle | Associate (Short Cycle) (TQF-HE: Level 5 / QF-EHEA: Short Cycle / EQF-LLL: Level 5) |
| Course Language | Turkish |
| Methods and Techniques | Lectures, sample calculation exercises, case analyses, laboratory data collection activities, graphical performance reporting, and group projects. |
| Mode of Delivery | Face to Face |
| Prerequisites | None; basic knowledge of production systems and analytical skills is recommended. |
| Coordinator | Lect. Mehmet AKSOY |
| Instructor(s) | Lect. Yasin BÜYÜKER |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Lect. Yasin BÜYÜKER | T-219 | [email protected] | 7408 | Tuesday 14:00/16:00 |
Course Content
The course covers the concept of equipment performance analysis, productivity and efficiency metrics, and the components of Overall Equipment Effectiveness (OEE) — availability, performance, and quality rate. It includes analysis of downtime, breakdowns, and defect causes; calculation of MTBF, MTTR, and failure rates; maintenance strategies (reactive, preventive, predictive); data collection methods; interpretation of performance indicators; and development of improvement recommendations.
Objectives of the Course
The aim of this course is to enable students to evaluate machine and equipment performance in production systems, analyze efficiency losses, and plan maintenance and improvement decisions based on data. Students learn to measure, interpret, and improve system effectiveness using performance indicators such as Overall Equipment Effectiveness (OEE).
Contribution of the Course to Field Teaching
| Basic Vocational Courses | X |
| Specialization / Field Courses | |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P1 | Possesses fundamental, up-to-date, and practical knowledge related to their profession | 4 |
| P3 | Keeps up with current developments and applications in their profession and uses them effectively | 4 |
| P12 | Has the ability to understand, model and design manufacturing execution systems. | 4 |
| P14 | Has the ability to collect, analyze and interpret MES data. | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Understands what manufacturing execution systems are. | P.1.4 | 1 |
| O2 | Have the ability to measure the performance of the manufacturing system. | P.3.5 | 1 |
| O3 | Have the ability to model performance indicators. | P.12.7 | 1 |
| O4 | Has the ability to monitor performance in real time. | P.12.8 | 1 |
| O5 | Analyze data flow and process relationships in manufacturing systems. | P.14.3 | 1 |
| O6 | Can evaluate the process of designing and implementing information systems holistically. | P.14.4 | 1 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Concept of performance in production systems and measurement fundamentals |
| 2 | Productivity, efficiency, and effectiveness indicators |
| 3 | Concept and components of Overall Equipment Effectiveness (OEE) |
| 4 | Availability rate: analysis of planned and unplanned downtimes |
| 5 | Performance rate: production speed and loss analysis |
| 6 | Quality rate: scrap, rework, and defect analysis |
| 7 | OEE calculation examples and application scenarios |
| 8 | Calculation of MTBF (Mean Time Between Failures) and MTTR (Mean Time To Repair) |
| 9 | Failure types and Root Cause Analysis |
| 10 | Maintenance strategies: reactive, preventive, and predictive maintenance |
| 11 | Data collection methods and sensor-based performance monitoring |
| 12 | Performance reporting, visualization, and interpretation techniques |
| 13 | Developing improvement plans and performance enhancement applications |
| 14 | Smart maintenance and data analytics approaches within Industry 4.0 |
Textbook or Material
| Resources | Introduction to TPM: Total Productive Maintenance (Preventative Maintenance Series), Nakajima |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| Midterms | - | - |
| Final Exam | - | - |
| Total | 0 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 4 | 56 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 4 | 56 |
| Midterms | 1 | 10 | 10 |
| Quiz | 0 | 0 | 0 |
| Homework | 1 | 10 | 10 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 1 | 10 | 10 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 10 | 10 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 152 | ||
| Total Work Load / 30 | 5,07 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P3 | P12 | P14 |
|---|---|---|---|---|---|
| O1 | Understands what manufacturing execution systems are. | 4 | - | - | - |
| O2 | Have the ability to measure the performance of the manufacturing system. | - | 4 | - | - |
| O3 | Have the ability to model performance indicators. | - | - | 5 | - |
| O4 | Has the ability to monitor performance in real time. | - | - | 5 | - |
| O5 | Analyze data flow and process relationships in manufacturing systems. | - | - | - | 5 |
| O6 | Can evaluate the process of designing and implementing information systems holistically. | - | - | - | 5 |