FACULTY OF ENGINEERING

Department of Mechatronics Engineering

IE 326 | Course Introduction and Application Information

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
  IE 222 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Service Course
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Problem Solving
Case Study
Q&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;
  • calculate the reorder point and order quantity for inventory control in deterministic and stochastic demand cases
  • manage the coordinated replenishment strategies of multiple items
  • solve the inventory control problems in supply chains
  • recognize different solution techniques to solve inventory planning problems and use the most appropriate solution method
  • do the performance analysis of the solution obtained
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.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
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.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
1
5
Field Work
Quizzes / Studio Critiques
4
20
Portfolio
Homework / Assignments
1
10
Presentation / Jury
Project
Seminar / Workshop
2
10
Oral Exams
Midterm
1
25
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
65
Weighting of End-of-Semester Activities on the Final Grade
35
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
14
3
42
Field Work
0
Quizzes / Studio Critiques
4
5
20
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
0
Seminar / Workshop
2
5
10
Oral Exam
0
Midterms
1
25
25
Final Exam
1
30
30
    Total
175

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have knowledge in Mathematics, science, physics knowledge based on mathematics; mathematics with multiple variables, differential equations, statistics, optimization and linear algebra; to be able to use theoretical and applied knowledge in complex engineering problems

2

To be able to identify, define, formulate, and solve complex mechatronics engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose.

3

To be able to design a complex electromechanical system, process, device or product with sensor, actuator, control, hardware, and software to meet specific requirements under realistic constraints and conditions; to be able to apply modern design methods for this purpose.

4

To be able to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Mechatronics Engineering applications; to be able to use information technologies effectively.

5

To be able to design, conduct experiments, collect data, analyze and interpret results for investigating Mechatronics Engineering problems.

6

To be able to work effectively in Mechatronics Engineering disciplinary and multidisciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both in oral and written forms; 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 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 engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; information on standards used 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

Using a foreign language, he collects information about Mechatronics Engineering and communicates with his colleagues. ("European Language Portfolio Global Scale", Level B1)

12

To be able to use the second foreign language at intermediate level.

13

To recognize the need for lifelong learning; to be able to access information; to be able to follow developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Mechatronics Engineering.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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