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 |
|---|---|---|---|---|---|---|---|
| 07820103 | Predictive Maintenance Management | 1 | Spring | 2 | 2+1+0 | 3 | 3 |
| 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 | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | Lect. Mehmet AKSOY |
| Instructor(s) | Lect. Hacer TAŞDÖĞEN |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Lect. Hacer TAŞDÖĞEN | T-219 | [email protected] | 7409 | Wednesday 10:00-12:00 |
Course Content
This course will explain the architecture and components of MES (Manufacturing Execution Systems). Students will gain knowledge on developing an MES framework to facilitate production processes. The interaction of MES with production floor equipment, network infrastructure, databases, and user interfaces will be described. The course will provide insights into configuring MES settings and parameters in alignment with business rules and logic, as well as customizing MES workflows, reports, dashboards, alerts, and notifications to meet user and stakeholder needs and preferences. Configuration tools such as Git, SVN, and Dropbox will be introduced. The communication architecture that ensures seamless integration of MES components will be explained. Furthermore, general information will be provided about the standards and protocols governing MES functionality, such as ISA-95, OPC UA, and MQTT. Applications and challenges encountered in this context will also be discussed.
Objectives of the Course
This course aims to help students understand the importance of maintenance systems and their applications to improve production efficiency and productivity.
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 |
|---|---|---|
| P12 | Has the ability to understand, model and design manufacturing execution systems. | 5 |
| P14 | Has the ability to collect, analyze and interpret MES data. | 4 |
| P15 | Possesses knowledge and skills in defining and designing intelligent production systems. | 4 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Knows the difference between predictive maintenance and traditional maintenance. | P.12.3 | 1 |
| O2 | Have the ability to establish a predictive maintenance system. | P.12.4 | 1,3 |
| O3 | It has the ability to automatically collect and monitor data in real time from machines in the production environment. | P.12.5 | 1,3 |
| O4 | Have the ability to monitor maintenance performance. | P.12.6 | 1,3 |
| O5 | Have the ability to calculate and predict equipment life expectancy. | P.14.2 | 1,3 |
| O6 | Have the ability to diagnose and resolve problems in MES software and hardware components. | P.15.3 | 1,5 |
| ** 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 and Basic Concepts of Maintenance |
| 2 | Importance and Organization of Maintenance Planning within the Enterprise |
| 3 | Maintenance Policies |
| 4 | Maintenance Policies |
| 5 | Reliability |
| 6 | Reliability |
| 7 | Economics in Maintenance Planning |
| 8 | Economics in Maintenance Planning |
| 9 | Operations Research Techniques in Maintenance Planning (Queuing Models) |
| 10 | Operations Research Techniques in Maintenance Planning (Queuing Models) |
| 11 | Operations Research Techniques in Maintenance Planning (Queuing Models) |
| 12 | Operations Research Techniques in Maintenance Planning (Markov Chains in Maintenance Planning) |
| 13 | Operations Research Techniques in Maintenance Planning (Markov Chains in Maintenance Planning) |
| 14 | Operations Research Techniques in Maintenance Planning (Markov Chains in Maintenance Planning) |
Textbook or Material
| Resources | Predictive Maintenance in Smart Factories ,Yazar: Hossein Dadras |
| Springer "Machine Learning for Predictive Maintenance" ,Yazar: Christoph Molnar |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Homework | 1 | 10 (%) |
| Presentation | - | - |
| Projects | 1 | 10 (%) |
| Quiz | - | - |
| Midterms | 1 | 30 (%) |
| Final Exam | 1 | 50 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 1 | 14 |
| Midterms | 1 | 10 | 10 |
| Quiz | 0 | 0 | 0 |
| Homework | 1 | 5 | 5 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 1 | 7 | 7 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 12 | 12 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 90 | ||
| Total Work Load / 30 | 3 | ||
| Course ECTS Credits: | 3 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P12 | P14 | P15 |
|---|---|---|---|---|
| O1 | Knows the difference between predictive maintenance and traditional maintenance. | 5 | - | - |
| O2 | Have the ability to establish a predictive maintenance system. | 5 | - | - |
| O3 | It has the ability to automatically collect and monitor data in real time from machines in the production environment. | 4 | - | - |
| O4 | Have the ability to monitor maintenance performance. | - | 4 | - |
| O5 | Have the ability to calculate and predict equipment life expectancy. | - | 3 | - |
| O6 | Have the ability to diagnose and resolve problems in MES software and hardware components. | - | - | 4 |