FACULTY OF ENGINEERING

Department of Industrial 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
Elective
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
X
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
Field Work
Quizzes / Studio Critiques
1
25
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
2
10
Oral Exams
Midterm
1
30
Final Exam
1
35
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
1
5
5
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
160

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To have adequate knowledge in Mathematics, Science and Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems.

X
2

To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques.

X
4

To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently.

X
5

To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas.

6

To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary 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 contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions.

9

To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice.

10

To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language.

12

To be able to speak a second foreign 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 Industrial Engineering.

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

 


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