Course Name | Inventory Planning |
Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
---|---|---|---|---|---|
IE 326 | Fall/Spring | 3 | 0 | 3 | 6 |
Prerequisites |
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Course Language | English | ||||||||
Course Type | Elective | ||||||||
Course Level | First Cycle | ||||||||
Mode of Delivery | - | ||||||||
Teaching Methods and Techniques of the Course | Problem SolvingCase StudyQ&A | ||||||||
Course Coordinator | |||||||||
Course Lecturer(s) | |||||||||
Assistant(s) | - |
Course Objectives | The aim of this course is to introduce the basic inventory planning problems and solution methods to the students. |
Learning Outcomes | The students who succeeded in this course;
|
Course Description | Topics of this course include the importance of inventory planning, inventory planning of individual and multiple items and invemtory planning of special calsses of items. |
Related Sustainable Development Goals | |
| Core Courses | |
Major Area Courses | ||
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | The context and importance of inventory management | Inventory Management and Production Planning and Scheduling, Chapters 1 and 3 |
2 | Order quantities for level-demand items. Economic Order Quantity. Quantity discounts. | Inventory Management and Production Planning and Scheduling, Chapter 5 |
3 | Inflation. Limits on order sizes | Inventory Management and Production Planning and Scheduling, Chapter 5 |
4 | Individual items with time variant demand | Inventory Management and Production Planning and Scheduling, Chapter 6 |
5 | Individual items with probabilistic demand | Inventory Management and Production Planning and Scheduling, Chapter 7 |
6 | Individual items with probabilistic demand | Inventory Management and Production Planning and Scheduling, Chapter 7 |
7 | Individual items with probabilistic demand: (s,Q) and (R,S) systems | Inventory Management and Production Planning and Scheduling, Chapter 7 |
8 | MIDTERM | |
9 | Inventory planning of A and C class items | Inventory Management and Production Planning and Scheduling, Chapters 8 and 9 |
10 | Style goods and perishable items | Inventory Management and Production Planning and Scheduling, Chapter 10 |
11 | Coordinated replenishment at a single stocking point | Inventory Management and Production Planning and Scheduling, Chapter 11 |
12 | Supply chain management. Multiechelon inventories: Deterministic demand | Inventory Management and Production Planning and Scheduling, Chapter 12 |
13 | Multiechelon inventories: Probabilistic demand | Inventory Management and Production Planning and Scheduling, Chapter 12 |
14 | In-class exercise | |
15 | General Course Review | |
16 | Final Exam |
Course Notes/Textbooks | |
Suggested Readings/Materials | Edward A. Silver, David F. Pyke, Rein Peterson, Inventory Management and Production Planning and Scheduling, Wiley.
Donald Waters, Inventory Control and Management, Wiley.
Instructor notes and lecture slides. |
Semester Activities | Number | Weigthing |
Participation | ||
Laboratory / Application | ||
Field Work | ||
Quizzes / Studio Critiques | 1 | 25 |
Portfolio | ||
Homework / Assignments | ||
Presentation / Jury | ||
Project | ||
Seminar / Workshop | 2 | 10 |
Oral Exam | ||
Midterm | 1 | 30 |
Final Exam | 1 | 35 |
Total |
Weighting of Semester Activities on the Final Grade | 8 | 65 |
Weighting of End-of-Semester Activities on the Final Grade | 1 | 35 |
Total |
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Course Hours (Including exam week: 16 x total hours) | 16 | 3 | 48 |
Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | ||
Study Hours Out of Class | 14 | 3 | 42 |
Field Work | |||
Quizzes / Studio Critiques | 1 | 5 | |
Portfolio | |||
Homework / Assignments | |||
Presentation / Jury | |||
Project | |||
Seminar / Workshop | 2 | 5 | |
Oral Exam | |||
Midterms | 1 | 25 | |
Final Exams | 1 | 30 | |
Total | 160 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | To have adequate knowledge in Mathematics, Science and Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems. | |||||
2 | To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose. | |||||
3 | To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose. | |||||
4 | To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively. | |||||
5 | To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics. | |||||
6 | To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; to be able to work individually. | |||||
7 | To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions. | |||||
8 | To have knowledge about global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions. | |||||
9 | To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications. | |||||
10 | To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development. | |||||
11 | To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1) | |||||
12 | To be able to speak a second foreign language at a medium level of fluency efficiently. | |||||
13 | To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Computer Engineering. |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest