Computer Integrated Manufacturing Systems (IND334)

Content

Objective

The innovation of computers and their integration to the production systems have fundamentally changed the manufacturing processes used for decades. Productivity is increased and quality is improved, despite the fact that costs are reduced and the possibility to react quickly and flexibly to continuously changing market conditions is increased. Integration includes all stages from the design to the delivery of the product to the customer. Consequently, the knowledge and skills that will be acquired during this obligatory course are critical for the professional careers of the undergraduate industrial engineering students. Within this context, the objectives of this course are:
• To show students how computers can be integrated to every stages of the production
• To disseminate the knowledge related to the functioning of the components of modern automation systems to the students
• To develop the basic skills of the student necessary to use pneumatic and electro-pneumatic systems, sensors, industrial robots, computer numerically controlled (CNC) machine tools
• To provide to the students a general overview on how flexible, cellular and shop type manufacturing systems can be designed and planned by means of mathematical modeling and operations research solution method

Course Content

1st week: Introduction to computer integrated manuf. systems
2nd week: Part design
3th week: Computer aided design
4th week: Computer aided process planning
5th week: Programmable logical controllers
6th week: Robot systems
7th week: Fundamentals of CNC machines
8th week: CNC part programming
9th week: Midterm
10th week: CNC part programming
11th week: Flexible manufacturing systems
12th week: Flexible manufacturing systems
13th week: Group technology and cellular manufacturing systems
14th week: Shop type manufacturing systems

Course Learning Outcomes

Upon successful completion of this course, the student should acquire the following knowledge and skills:
1. Explain by giving examples how computers can be integrated with manufacturing systems.
2. Describe the internal functioning (data storage, processing and visualization) of a design software by taking into account various dimensions
3. Calculate the optimum parameter values (cutting speed, feed speed, material removal rate, completion time, etc.) for some well-known manufacturing process.
4. Develop ladder diagrams for programmable logical controllers to solve simple automation problems.
5. Define basic components and their functioning for a CNC machine tool.
6. Develop programs with G-code for milling and turning machines to process simple parts.
7. Solve problems encountered during the design and management of flexible, cellular and shop type manufacturing systems.

References

1. Chang, T.-C., Wysk, R.A., Wang, H.-P., “Computer-Aided Manufacturing”, 3. Baskı, Prentice Hall, 2005.
2. Singh, N., “Systems Approach to Computer-Integrated Design and Manufacturing”, Wiley, 1996.
3. Groover, M.P., “Automation, Production Systems, and Computer-Integrated Manufacturing”, 3. Baskı, Prentice Hall, 2007.
4. Rehg, J.A., Kraebber, H.W., “Computer Integrated Manufacturing”, 3. Baskı, Prentice Hall, 2004.

Assessment System

Contribution to Overall Grade
Activities	Number	Contribution
Contribution of in-term studies to overall grade	2	50
Contribution of final exam to overall grade	1	50
Total	3	100

In-Term Studies
Activities	Number	Contribution
Assignments	0	0
Presentation	0	0
Midterm Examinations (including preparation)	2	30
Project	0	0
Laboratory	0	0
Other Applications	0	0
Quiz	0	0
Term Paper/ Project	0	0
Portfolio Study	0	0
Reports	0	0
Learning Diary	0	0
Thesis/ Project	0	0
Seminar	0	0
Other	0	0
Total	2	30

Relation of Proficiency

No	Program Learning Outcomes	Contribution
No	Program Learning Outcomes	1	2	3	4	5
1	Knowledge and understanding of a wide range of basic sciences (math, physics, ...) and the main concepts of engineering				X
2	Ability to combine the knowledge and skills to solve engineering problems and provide reliable solutions					X
3	Ability to select and apply methods of analysis and modeling to ask, reformulate and solve the complex problems of industrial engineering					X
4	Ability to conceptualize complex systems, processes or products under practical constraints to improve their performance, ability to use innovative methods of design				X
5	Ability to design, select and apply methods and tools needed to solve problems related to the practice of industrial engineering, ability to use computer technology					X
6	Ability to design experiments, collect and interpret data and analyze results				X
7	Ability to work independently, ability to participate in working groups and have a multidisciplinary team spirit					X
8	Ability to communicate effectively, ability to speak at least two foreign languages				X
9	Awareness of the need for continuous improvement of lifelong learning, ability to keep abreast of scientific and technological developments to use the tools of information management				X
10	Awareness of professional and ethical responsibility
11	Knowledge of the concepts of professional life as "project management", "risk management" and "management of change"					X
12	Knowledge on entrepreneurship, innovation and sustainability
13	Understanding of the effects of Industrial Engineering applications on global and social health, environment and safety.				X
14	Knowledge of the problems of contemporary society				X
15	Knowledge of the legal implications of the practice of industrial engineering

ECTS

Activities	Number	Period	Total Workload
Class Hours	14	3	42
Working Hours out of Class	13	2	26
Midterm Examinations (including preparation)	2	15	30
Final Examinations (including preparation)	1	12	12
Total Workload			110
Total Workload / 25			4.40
Credits ECTS			4