IE 374 | Course Introduction and Application Information

Course Name
Applied Production Systems
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IE 374
Fall/Spring
2
2
3
5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Course Coordinator -
Course Lecturer(s) -
Assistant(s) -
Course Objectives In this course, the specific part of Software Applications in Industry namely PRODUCTION will be covered. Subjects such as Introduction to Production Systems, Production planning and management, Inventory management, Product design, Bill of Materials, routes will be the topics of the course. Project Groups will be working on a live example from the industry and they can regenerate the whole process from purchasing until shipping. The groups will be using the ERP software located in our laboratories; they are going to input the data and obtain the results for further analysis.
Course Description The students who succeeded in this course;
  • Will be able to explain the main features of Production Planning Systems
  • Will be able to define all stages of a manufacturing system from purchasing to shipping with real-life examples
  • Will be able to analyze the manufacturing system operations and corresponding computer application components by observations at on-site factory visits
  • Will be able to comprehend the related modules of ERP systems used in Computer Integrated Manufacturing
  • Will be able to categorize the production systems and create a product tree
Course Content ERP Lab applications, production modules will be covered. During the semester the groups will prepare 2 presentations and 2 progress reports. These reports will explain in detail about the software applications in Industry.

 



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 Production Systems and Production Management
2 (Production Systems Classifications, Contemporary application samples Formation of project groups, at most 5 students per group
3 Just in Time manufacturing (JIT), made to order manufacturing
4 Production Planning and Control Selecting and assigning Production Case studies to the groups
5 Order management, Purchasing Management, Quality control in receiving goods Proposal submissions
6 Product Trees and recipes, Route Management, Entering data like Suppliers, products, raw materials, recipes to the Production system
7 Production Capacity problems, machine layout planning 1. Progress Report submission,
8 Defining Job and Cost centers,
9 Running an instance of Material Requirements Planning (MRP) Project Presentation of the groups
10 Reading and analyzing the outcomes of MRP, producing work orders
11 Purchasing, inventory and shipment management; Quality control at shipping,
12 Field visits 2. Progress Report submission
13 Field visits
14 Field visits
15 The Final Presentation of the Project Groups
16 Review of the Semester  

 

Course Notes/Textbooks Groover, Mikell P. (2007). Automation, Production Systems, and C.I.M. PrenticeHall: Englewood Cliffs, N.J.
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Homework / Assignments
2
20
Presentation / Jury
2
30
Project
Seminar / Workshop
Oral Exams
Midterm
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
60
Weighting of End-of-Semester Activities on the Final Grade
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
15
3
Field Work
Quizzes / Studio Critiques
Homework / Assignments
2
5
Presentation / Jury
2
9
Project
Seminar / Workshop
Oral Exam
Midterms
Final Exam
1
15
    Total
120

 

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, Computer Science and Software 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 Software Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

3

To be able to design, implement, verify, validate, document, measure and maintain a complex software system, process, or product under realistic constraints and conditions, in such a way as to meet the requirements; ability to apply modern 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 software 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 Software Engineering problems.

6

To be able to work effectively in Software 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 be able 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 and software applications 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 and Software 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 Software Engineering, and to be able to communicate with colleagues in a foreign language.

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 Software Engineering.

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