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Course Syllabus

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Homeworks

Policy Grading

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ISE 320 - Quality Control and Industrial Statistics


 

Course Description

The main purpose of this course is to provide the student with a clear and thorough understanding of quality control tools and statistical methods used in industries and manufacturing . The course covers the following subjects :  Introduction to quality control and process improvement.  Concepts of variation. Statistical process control (S.P.C tools). Control charts for variables and Control charts for attributes and their applications in process control. Process capability studies. Acceptance sampling. Cost of quality and the effects of quality on productivity.

The course is supported by case studies in applied quality control (workshop and laboratory works).

Pre-requisite

ISE 205

Co-requisite

None

Credit hours

3

"Quality Control starts with education and ends up with education"   Kaoru Ishikawa

Course Syllabus and Planning

Important Links Additional Reading from my Books and websites Additional Reading

Course Material

Chapter title

Starting date

Week

         

 

 

 
       

( Students Registration )

25 Jan 2015

 

1

 

 Lecture 01   Introduction to Quality

01 Feb 2015

 

2

Lecture 02   Statistical Process Control (Part 1)

08 Feb 2015

 

3

   

Lecture 03   Statistical Process Control (Part 2)

15 Feb 2015

 

4

Lecture 04  Control Charts for Variables (1)

22 Feb 2015

 

5

   

Lecture 05  Control Charts for Variables (2: Case Studies)

01 Mar 2015

 

6

   

Lecture 06   Control Charts for Attributes (1)

08 Mar 2015

 

7

     

Lecture 07    Control Charts for Attributes (2: Case studies)

15 Mar 2015

 

8

       

Mid Term Vacation (22-28 Mar 2015)

22Mar 2015

 

9

Lecture 08    Process Capability Analysis 

29 Mar 2015

 

10

   

 

Lecture 09    Mid-term Exam

05 Apr 2015

 

11

     

Lecture 10    Process Capability Analysis (Case Studies)

12 Apr 2015

 

12

 

Lecture 11    Acceptance Sampling

19 Apr 2015

 

13

   

Lecture 12     Acceptance Sampling  (Minitab)                   

26 Apr 2015

 

14

 

Lecture 13     Cost of Quality Analysis (link to an early lecture)

03 May 2015

 

15

 

Lecture 14   Advanced Topics in Quality Improvement (The 7 New Tools for Management and Planning)

10 May 2015

 

16

     

 

Lecture 15     Projects Discussion

17 May 2015

 

17

       

Final Examinations    :   (date to be specified)

24 May 2015

 

18

31 May 2015

 

19


Engineering Projects

  Due date Project Text  
Project 1 15 March 2015

Students are encouraged to use Minitab for their projects. Good references on the use of Minitab software can be found in the following links:

    

     
Project 2 14 May 2015
     

Policy grading

Students enrolled in the course should be aware of the university policy regarding attendance to lectures and tutorials. During the semester you should attend all classes according to your schedule, do your home works,  the research questions and projects. They should be submitted to the instructor  on time.

The following is the grading that will be adopted to evaluate students during the semester.

Mid Term Exam

25

Engineering Projects

20

Home Works and Laboratory

15

Attendance & Participation

10

Final Exam

30

Total

100

 

 

 

 

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Additional Web Resources

HANDBOOK FOR BASIC PROCESS IMPROVEMENT

SPC Reference Manual (Ford-GM-Crysler) ASQ 2005

Engineering Data Analysis YouTube

Excellent Videos on Statistical Quality Control (Keith Bower)

Excellent Videos on Engineering Statistics (Keith Bower)

Excellent PPT Presentations on Statistical Quality Control

http://www.itl.nist.gov/div898/handbook/index.htm

 


The Page is Designed and Maintained by Prof Mohamed Aichouni, First created on February 2015, Last updated on February 2015

Email : m.aichouni@uoh.edu.sa