COURSE SYLLABUS

MANUFACTURING PROCESS CONTROL

1	Course Title:	MANUFACTURING PROCESS CONTROL
2	Course Code:	END5117
3	Type of Course:	Optional
4	Level of Course:	Third Cycle
5	Year of Study:	1
6	Semester:	1
7	ECTS Credits Allocated:	7,5
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	None
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Doç.Dr. ALI YURDUN ORBAK
16	Course Lecturers:
17	Contactinformation of the Course Coordinator:	orbak@uludag.edu.tr, 0(224)2942086, Uludağ Üniversitesi Endüstri Mühendisliği Bölümü Oda Y315 Görükle, 16059, Bursa
18	Website:	http://endustri.uludag.edu.tr/~orbak/END5117.html
19	Objective of the Course:	The objective of this subject is to understand the nature of manufacturing process variation and the methods for its control. First, a general process model for control is developed to understand the limitations a specific process places on the type of control used. A general model for process variation is presented and three methods are developed to minimize variations: Statistical Process Control, Process Optimization and in-process Feedback Control. These are considered in a hierarchy of cost-performance tradeoffs, where performance is based on changes in process capability. The idea of control systems and its relationship to process physics is shown in many special manufacturing processes.
20	Contribution of the Course to Professional Development	Students learn the ability to analyse common structures of several manufacturing systems used in production.

Learning Outcomes:

1	Students will be albe to identify the suitable feedback control method fort he process and design it.;
2	Students will understand the physics of industrial manufacturing processes, model and classify them.;
3	Students will be able to utilize optimization, statistical quality control and similar tools. ;
4	Students will be able to understand the underlying physics of the processes and they will amprically/adaptively model it for a suitable control algorithm.;

22	Course Content:

Week	Theoretical	Practical
1	Introduction to manufacturing processes
2	Principles of process modeling for control
3	Reasons of variability
4	Nature of variablity in processes
5	Feedback control for process improvement: Basic servo problem
6	Position servo analysis and cycle to cycle control
7	Discrete systems and discrete system closed loop Dynamics
8	Use of cycle to cycle control to reduce variability in various manufacturing processes
9	Describing Variation: Probability and Random Variables
10	Shewhart Model of Manufacturing and "Charting"
11	SPC Charting and Process Capability
12	Advanced SPC: Moving Average Approaches
13	Introduction to Empirical Process Modeling and Optimization
14	Designed Experiments: The 2-k Problem, Analysis of Variance and Model Testing

23	Textbooks, References and/or Other Materials:	• Montgomery, Douglas C. Introduction to Statistical Quality Control. 5th ed. New York, NY: Wiley, 2004. ISBN: 9780471656319. • May, Gary S., and Costas J. Spanos. Fundamentals of Semiconductor Manufacturing and Process Control. Hoboken, NJ: Wiley-Interscience, 2006. ISBN: 9780471784067. For processes: • Kalpakjian, S. Manufacturing Processes for Engineering Materials. 3rd ed. Menlo Park, CA: Addison Wesley, 1996. ISBN: 9780201823707. For statistical analysis, SPC and design of experiments: • Devor, R. E., T. Chang, and J. W. Sutherland. Statistical Quality Design and Control. New York, NY: Macmillan, 1992. ISBN: 9780023291807. • Hogg, R. V., and J. Ledotter. Engineering Statistics. New York, NY: Macmillan, 1987. ISBN: 9780023557903. • Bendat, J. S., and A. G. Piersol. Random Data. 2nd ed. New York, NY: Wiley Interscience, 2000. ISBN: 9780471317333. For feedback control and stochastic control: • Ogata, Katsuhiko. Modern Control Engineering. 3rd ed. Upper Saddle River, NJ: Prentice Hall, 1996. ISBN: 9780132273077. • Friedland, B. Control System Design. New York, NY: McGraw Hill, 1985. ISBN: 9780070224414.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	0	0
Quiz	0	0
Homeworks, Performances	1	60
Final Exam	1	40
Total	2	100
Contribution of Term (Year) Learning Activities to Success Grade		60
Contribution of Final Exam to Success Grade		40
Total		100
Measurement and Evaluation Techniques Used in the Course	Midterm exam, homeworks/project and final exam is performed for evaluation.
Information

ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	3	42
Practicals/Labs	0	0	0
Self Study and Preparation	12	9	108
Homeworks, Performances	1	9	9
Projects	1	62	62
Field Studies	0	0	0
Midtermexams	0	2	0
Others	0	0	0
Final Exams	1	2	2
Total WorkLoad			223
Total workload/ 30 hr			7,5
ECTS Credit of the Course			7,5

CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS

	PQ2	PQ3	PQ4	PQ6	PQ8	PQ10	PQ11	PQ12
LO1	4	4	4	4	4	4	4	4
LO2	4	4	4	4	4	4	4	4
LO3	4	4	4	4	4	4	4	4
LO4	4	4	4	4	4	4	4	4

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High