| Academic Unit: |
Business Administration |
| Mode of Delivery: |
Face to face |
| Prerequisites: |
None |
| Language of Instruction: |
English |
| Level of Course Unit: |
Undergraduate |
| Course Coordinator: |
- - |
| Course Objectives: |
The aim of this course is to provide students with an operation management perspective and to enable them to plan and implement the operation. |
| Course Contents: |
This course includes operations management, process management, order processing and picking, shipment and delivery planning, delivery and return product traffic management, information technology dimension of operations management and organization of operations management. |
| Learning Outcomes of the Course Unit (LO): |
- 1- Students understand and explain the basic concepts related to manufacturing, operations, and supply chain structures.
- 2- Students develop the ability to apply mathematical, operations research, and statistical techniques in production and operations management.
- 3- Students gain the ability to use data and information sources in production processes and can use tools such as matrix algebra for data analysis.
- 4- Students gain modeling skills in production and operations management and develop the ability to represent business processes mathematically.
- 5- Students create, solve, and interpret linear programming models, as well as apply these models through computer programs.
- 6- Students gain the ability to perform sensitivity analysis in production and manufacturing models, understand the concept of duality, and calculate shadow prices.
- 7- Students develop an ability to model in production and distribution chains and create and solve network and transport models.
- 8- Students conduct case studies for real-world applications, solve problems, and produce solutions using a computer programming language.
|
| Planned Learning Activities and Teaching Methods: |
Face to face |
| Week | Subjects | Related Preperation |
| 1 |
Conceptual definitions of production, operations and supply chain structures |
Lecture Notes |
| 2 |
Use of mathematics and operations research and techniques in production and operations management |
Lecture Notes |
| 3 |
Data and information sources of production, introduction to matrix algebra |
Lecture Notes |
| 4 |
Introduction to modeling in production and operations management with optimization theory |
Lecture Notes |
| 5 |
Use of optimization models in production processes, linear programming and solution techniques |
Lecture Notes |
| 6 |
Linear programming models in production |
Lecture Notes |
| 7 |
Linear programming models and computer programming in manufacturing |
Lecture Notes |
| 8 |
Sensitivity analysis, duality and shadow prices in production models |
Lecture Notes |
| 9 |
Determination of shadow prices with duality in production models and computer programming |
Lecture Notes |
| 10 |
Modeling, network and transport models in production and distribution chains |
Lecture Notes |
| 11 |
Linear programming applications of network models |
Lecture Notes |
| 12 |
Linear programming applications of network models and computer programming |
Lecture Notes |
| 13 |
Optimization models in production processes, case studies and computer programming |
Lecture Notes |
| 14 |
Optimization models in production processes, case studies and computer programming |
Lecture Notes |
At Kadir Has University, a Semester is 14 weeks; The weeks 15 and 16 are reserved for final exams.
THE RELATIONSHIP BETWEEN COURSE LEARNING OUTCOMES (LO) AND PROGRAM QUALIFICATIONS (PQ)
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PQ1 |
PQ2 |
PQ3 |
PQ4 |
PQ5 |
PQ6 |
PQ7 |
PQ8 |
PQ9 |
PQ10 |
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| LO5 |
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| LO6 |
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| LO7 |
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| LO8 |
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Contribution: 1 Low, 2 Average, 3 High
