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
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
Portfolios
Midterms / Oral Exams
Final / Oral 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
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
Portfolios
Midterms / Oral Exams
Final / Oral Exam
1
15
    Total
120

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Adequate knowledge in Mathematics, Science and Software Engineering; ability to use theoretical and applied information in these areas to model and solve Software Engineering problems
2 Ability to identify, define, formulate, and solve complex Software Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose
3 Ability to design, implement, verify, validate, measure and maintain a complex software system, process or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern methods for this purpose
4 Ability to devise, select, and use modern techniques and tools needed for Software Engineering practice
5 Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Software Engineering problems
6 Ability to work efficiently in Software Engineering disciplinary and multi-disciplinary teams; ability to work individually
7 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of two foreign languages
8 Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
9 Awareness of professional and ethical responsibility
10 Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development
11 Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Software Engineering solutions

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