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 |
|---|---|---|---|---|---|---|---|
| 07831113 | MES Hardware | 2 | Autumn | 3 | 2+2+0 | 5 | 5 |
| Course Type | Elective |
| Course Cycle | Associate (Short Cycle) (TQF-HE: Level 5 / QF-EHEA: Short Cycle / EQF-LLL: Level 5) |
| Course Language | Turkish |
| Methods and Techniques | Lectures, laboratory practices, hardware connection studies, simulation-based analyses, group work, and case studies. |
| Mode of Delivery | Face to Face |
| Prerequisites | None. |
| 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
This course provides an in-depth examination of the hardware and components required to establish an MES system. Topics include IoT infrastructure, sensor and actuator systems, cyber-physical systems, data acquisition units, industrial networks, communication protocols, Andon panels, SCADA systems, servers, and audio-visual alert systems. The course also addresses hardware integration, data security, and sustainability in MES environments.
Objectives of the Course
The aim of this course is to enable students to understand the hardware components, data acquisition infrastructures, and communication systems used in the implementation of Manufacturing Execution Systems (MES). Students learn how industrial sensors, control devices, communication protocols, and visualization panels integrate with MES to enable digital data flow within manufacturing environments.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| 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 |
|---|---|---|
| P3 | Keeps up with current developments and applications in their profession and uses them effectively | 4 |
| P14 | Has the ability to collect, analyze and interpret MES data. | 4 |
| P15 | Possesses knowledge and skills in defining and designing intelligent production systems. | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Determines appropriate MES hardware. | P.3.16 | 1 |
| O2 | Integrates MES software and hardware. | P.14.8 | 7 |
| O3 | Establishes the hardware infrastructure of the MES system customized for the business. | P.14.9 | 1,7 |
| O4 | It uses the MES infrastructure effectively in digital traceability and Industry 4.0 applications. | P.14.10 | 1 |
| O5 | Installs IoT and related sensors. | P.15.7 | 7 |
| O6 | It ensures data communication and security in IoT-based production systems. | P.15.8 | 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 | Introduction to the hardware infrastructure required for MES systems |
| 2 | Role of industrial automation and control hardware in MES environments |
| 3 | Sensor types, operating principles, and their role in data acquisition |
| 4 | Actuators, relays, and industrial control components |
| 5 | Data acquisition modules and interface design |
| 6 | Cyber-physical systems and fundamentals of IoT |
| 7 | IoT components and data flow in manufacturing environments |
| 8 | Industrial communication networks and protocols |
| 9 | MES–SCADA integration and data visualization systems |
| 10 | Andon panels, alert mechanisms, and production line monitoring |
| 11 | Server architecture, data storage, and security management |
| 12 | Hardware–software interaction within MES environments |
| 13 | Hardware failures, maintenance, and sustainability strategies |
| 14 | Smart factory vision: integration of hardware, networks, and software |
Textbook or Material
| Resources | Industrial Cyber‑Physical Systems: Advancing Industry 4.0 from Vision to Application, Sascha Julian Oks |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Homework | 1 | 30 (%) |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| Midterms | 1 | 20 (%) |
| Final Exam | 1 | 50 (%) |
| Total | 100 (%) | |
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 | 8 | 8 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 150 | ||
| Total Work Load / 30 | 5 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P3 | P14 | P15 |
|---|---|---|---|---|
| O1 | Determines appropriate MES hardware. | 4 | - | - |
| O2 | Integrates MES software and hardware. | - | 5 | - |
| O3 | Establishes the hardware infrastructure of the MES system customized for the business. | - | 4 | - |
| O4 | It uses the MES infrastructure effectively in digital traceability and Industry 4.0 applications. | - | 4 | - |
| O5 | Installs IoT and related sensors. | - | - | 4 |
| O6 | It ensures data communication and security in IoT-based production systems. | - | - | 4 |