Industrial Engineering
Course Details

KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Industrial Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Industrial Engineering
Course Details

| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 15240402 | Efficiency and Value Analysis | 2 | Spring | 4 | 3+0+0 | 3 | 5 |
| Course Type | Compulsory |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | Prof. Murat DARÇIN |
| Instructor(s) | Prof. Murat DARÇIN |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Prof. Murat DARÇIN | A-306 | [email protected] | 7907 |
Course Content
The course "Productivity and Value Analysis" begins by teaching students the basics of the concept of productivity and the internal and external factors affecting this concept. Partial, multiple and total factor productivity, as well as the formation of the total duration of the job and productivity measurement models are emphasized. After the theoretical information on productivity management, a midterm exam is given. In the second half of the course, productivity improvement techniques, especially industrial engineering techniques and economic analyses, are examined in depth. Cost engineering and value engineering/analysis topics focus on cost reduction and value creation processes. The course ends with the efficient use of capital resources and effective management of human resources.
Objectives of the Course
The aim of this course is to teach students the concept of productivity and the factors affecting productivity in a comprehensive manner. It is aimed to provide students with the ability to apply productivity analysis techniques, develop productivity management strategies and increase the productivity of businesses using industrial engineering techniques and economic analysis. In addition, students who contribute to the processes of reducing costs and increasing value by using expense and value engineering methods, gain knowledge and competence in the effective management of capital and human resources, thus becoming equipped to optimize the performance of businesses and gain competitive advantage.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | X |
| 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 | Knowledge of mathematics, natural sciences, fundamental engineering, computational sciences, and industrial engineering; the ability to apply this knowledge to solve complex engineering problems. | 5 |
| P2 | The ability to define, formulate, and analyze complex industrial engineering problems using fundamental science, mathematics, and engineering knowledge, while keeping in mind the relevant UN Sustainable Development Goals. | 5 |
| P3 | The ability to design creative solutions to complex industrial engineering problems; the ability to design complex systems, processes, devices, or products to meet current and future requirements, while considering realistic constraints and conditions. | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | P.1.17 | 1,5 | |
| O2 | P.1.18 | 1,5 | |
| O3 | P.1.19 | 1,5 | |
| O4 | P.1.20 | 1,5 | |
| O5 | P.2.14 | 1,5 | |
| O6 | P.2.15 | 1,5 | |
| O7 | P.2.16 | 1,5 | |
| O8 | P.2.17 | 1,5 | |
| O9 | P.3.4 | 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 | Productivity Concept |
| 2 | Internal and external factors affecting productivity |
| 3 | Partial factor productivity, multı factor productivity and total factor productivity |
| 4 | Total work time |
| 5 | Productivity measurement models |
| 6 | Productivity measurement models |
| 7 | Productivity Management |
| 8 | Midterm |
| 9 | Productivity improvement techniques |
| 10 | Productivity improvement techniques |
| 11 | Cost Engineering |
| 12 | Cost Engineering |
| 13 | Value engineering / Value analysis |
| 14 | Improving the use of capital resources |
| 15 | Effective management of human resources |
| 16 | Final Exam |
Textbook or Material
| Resources | Productivity Management: A practical handbook |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Field Study | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Seminar | - | - |
| Quiz | - | - |
| Listening | - | - |
| Midterms | 1 | 30 (%) |
| Final Exam | 1 | 70 (%) |
| 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 | 4 | 56 |
| Midterms | 1 | 24 | 24 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 28 | 28 |
| 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 | P1 | P2 | P3 |
|---|---|---|---|---|
| O1 | Verimlilikle ilgili kavramları açıklar. | 5 | - | - |
| O2 | Verimliliği etkileyen iç ve dış faktörleri tanımlar. | 5 | - | - |
| O3 | İmal etme veya satın alma kararları, defolu üretimi minimize etme ve diğer gider azaltıcı yöntemlerin maliyet etkisini hesaplayabilir. | 5 | - | - |
| O4 | Sermaye kaynaklarının etkin kullanımını geliştirme yöntemlerini ve insan kaynağının etkili yönetim stratejilerini kavrar. | 5 | - | - |
| O5 | Verimlilikle ilgili kavramları açıklar. | - | 5 | - |
| O6 | Verimliliği etkileyen iç ve dış faktörleri tanımlar. | - | 5 | - |
| O7 | Bir kişi ya da bir makine tarafından bir işlemi yapmak ya da belli bir miktardaki ürünü elde etmek için harcanan sürenin oluşumunu açıklar. | - | 5 | - |
| O8 | İmal etme veya satın alma kararları, defolu üretimi minimize etme ve diğer gider azaltıcı yöntemlerin maliyet etkisini hesaplayabilir. | - | 5 | - |
| O9 | Bir kişi ya da bir makine tarafından bir işlemi yapmak ya da belli bir miktardaki ürünü elde etmek için harcanan sürenin oluşumunu açıklar. | - | - | 5 |
