ECTS - Operations Management
Operations Management (ISLE504) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Operations Management | ISLE504 | General Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | Turkish |
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Course Type | Elective Courses |
Course Level | Social Sciences Master's Degree |
Mode of Delivery | Distance |
Learning and Teaching Strategies | Lecture, Question and Answer, Drill and Practice, Problem Solving. |
Course Lecturer(s) |
|
Course Objectives | Production management is a process of planning, organizing, directing and controlling the activities of the production function. It combines and transforms various resources used in the production subsystem of the organization into value added product in a controlled manner as per the policies of the organization. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Demand forecasting, project management, quality management, supply chain management, planning and scheduling, and inventory management, materials resource planning (MRP), enterprise resource planning (ERP) as well as modern production techniques such as lean production, just-in-time production. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
---|---|---|
1 | Introduction to Operations Management. | Top, A., Yılmaz, E. ch 1 |
2 | Operations Strategy and Production Systems. | Üreten, S. ch 1 |
3 | Productivity and Performance / Performance Evaluation Methods. | Kobu, B. ch 3 |
4 | Cost models in Operations Management. | Üreten, S. ch 2 |
5 | Decision making in Operations Management. | Top, A., Yılmaz, E. ch 3-B |
6 | Project Management | Chase, R.B., Aquilano, N.J., Jacobs, F.R. part 1.3 |
7 | Simulation in Operations Management/ Applications. | Üreten, S. ch 5 |
8 | Queuing or Waiting Line Analysis. | Top, A., Yılmaz, E. ch 4-E |
9 | mid-term exam | |
10 | Demand Forecasting ( Time Series Analysis 1). | Kobu, B. ch 5 |
11 | Demand Forecasting ( Time Series Analysis 2). | Kobu, B. ch 5 |
12 | Demand Forecasting (Regression Analysis) . | Üreten, S. ch 4 |
13 | Quality Management and quality control . | Kobu, B. ch17 |
14 | Product Design. | Kobu,ch.5. |
15 | Process Design. | Üreten, ch 5 |
16 | final exam |
Sources
Course Book | 1. Top, Aykut ve Yılmaz,ü Erdal (2013) Üretim Yönetimi, İdeal Kültür Yayıncılık, İstanbul |
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3. Üreten, Sevinç (1998) Üretim / İşlemler Yönetimi – Planlama-Denetim Kararları, Karar Modelleri ve İyileştirme Yaklaşımları, THK Basımevi, Ankara | |
4. Kobu, Bülent (2003) Üretim Yönetimi, 11. Baskı, Avcıol Basım | |
Other Sources | 2. Heizer, J. , Render, B. (2011), Operations Management, Prentice-Hall, 10th edition. |
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 1 | 20 |
Presentation | - | - |
Project | - | - |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 1 | 40 |
Final Exam/Final Jury | 1 | 40 |
Toplam | 3 | 100 |
Percentage of Semester Work | |
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Percentage of Final Work | 100 |
Total | 100 |
Course Category
Core Courses | X |
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Major Area Courses | |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
---|---|---|---|
Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | |||
Presentation/Seminar Prepration | |||
Project | |||
Report | |||
Homework Assignments | 4 | 10 | 40 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 20 | 20 |
Prepration of Final Exams/Final Jury | 1 | 20 | 20 |
Total Workload | 128 |