Statistical Quality Control

Course Code:

ISE 451

Course Period:

Autumn

Course Type:

Core

Credits:

3

Theoric:

2

Practice:

2

ECTS:

7

Prerequisite Courses:

Statistical Applications for Industrial Engineers

Course Language:

English

Courses given by:

Zeynep Ocak

Course Objectives:

The aim of this course is to understand the basic definitions and descriptions of quality and how they relate to SPC, to be able to construct and interpret an appropriate control chart based upon the data and system in operation. To understand process capability and its relationship to design specifications. To understand the application of 6 Sigma Methodology, and to be able to conduct process optimization using DOE methods.

Course Content:

A statistical approach to manufacturing quality control, managerial implications and responsibilities in implementing the statistical approach, construction and interpretation of various control charts, graphical methods, specifications, tolerance limits, process capability indices, acceptance sampling.

Course Methodology:

1: Lecture by instructor, 2: Lecture by instructor with class discussion, 3: Problem solving by instructor, 7: In class case study

Course Evaluation Methods:

A: Written exam, C: In class exercise E: Homework

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Course Learning Outcomes

Course Learning Outcomes	Detailed Program Outcomes	Teaching Methods	Assessment Methods
Ability to define fundamentals of quality tools and techniques.	1a	1,2	A,C
Ability to statistically analyze inspection results.	1b,2b,6c	1,2,3,7	A,C
Ability to interpret control charts, explain its application and types.	1a,6c	1,2,3,7	A,C
Ability to draw control charts, and analize process performance	2a,2b,6a,6c	1,2,3,7	A,C
Ability to explain the terms related to Lean Manufacturing and 6 Sigma	1a,9b	1,2,3,7	A,C,E
Ability to design experiments using Taguchi methods, and interpret the results.	5a,6a	1,2,3,7	A,C
Ability to define different types of Quality standards	9b	1,2,3	C
Ability to define various quality problems encountered in industry, ability to choose the necessary analysis methods for the solution of the problems, and ability to develop solution methods.	2a,2b,6a,6c	1,2,3,7	C

Course Flow

COURSE CONTENT
Week	Topics		Study Materials
1	Introduction to Quality		Textbook
2	Quality Advocates and Philosophies		Textbook
3	Quality Management Systems and Total Quality Control		Textbook
4	Statistical Process Control		Textbook
5		Measurement System Analysis	Textbook
6	MIDTERM EXAM I
7	Control Charts		Textbook
8	Process Capability		Textbook
9	Acceptance Sampling		Textbook
10	Lean Manufacturing Management		Textbook
11	Design of Experiments using Taguchi Methods		Textbook
12	MIDTERM EXAM II
13	Cost of Quality Calculations		Textbook
14	Process Auditing		Textbook
15	Six Sigma		Textbook

Recommended Sources

RECOMMENDED SOURCES
Textbook	Course Notes shared via Coadsys Moodle
Additional Resources	Introduction to Statistical Quality Control - Douglas Montgomery

Material Sharing

MATERIAL SHARING
Documents	Powerpoint slides, Research Articles, Case Studies
In class Assignments	Lean Manufacturing VSM, Control Chart, Process Capability, DOE with Taguchi Methods
Exams	Midterms, Final

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
MIDTERM	2	70
CASE STUDIES	10	30
Total		100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		35
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE		65
Total		100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM OUTCOMES
No	Program Learning Outcomes	check √
1a	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline,	√
1b	Ability to use theoretical and applied knowledge in these areas in complex engineering problems.	√
2a	Ability to identify, formulate, and solve complex engineering problems,	√
2b	Ability to select and apply proper analysis and modeling methods for this purpose.	√
3a	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result,
3b	Ability to apply modern design methods for this purpose.
4a	Ability to devise, select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice.
4b	Ability to employ information technologies effectively.
5a	Ability to design experiments for investigating complex engineering problems or discipline specific research questions,	√
5b	Ability to conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6a	Ability to work efficiently in intra-disciplinary teams,	√
6b	Ability to work efficiently in multi-disciplinary teams,
6c	Ability to work individually.	√
7a	Ability to communicate effectively in Turkish, both orally and in writing,
7b	Knowledge of a minimum of one foreign language,
7c	Ability to write effective reports and comprehend written reports, prepare design and production reports,
7d	Ability to make effective presentations,
7e	Ability to give and receive clear and intelligible instructions.
8a	Recognition of the need for lifelong learning, ability to access information, ability to follow developments in science and technology,
8b	Ability to continue to educate him/herself.
9a	Consciousness to behave according to ethical principles and professional and ethical responsibility.
9b	Knowledge on standards used in engineering practice.	√
10a	Knowledge about business life practices such as project management, risk management, change management.
10b	Awareness in entrepreneurship and innovation.
10c	Knowledge about sustainable development.
11a	Knowledge about the global and social effects of engineering practices on health, environment, and safety,
11b	Knowledge about contemporary issues of the century reflected into the field of engineering.
11c	Awareness of the legal consequences of engineering solutions.

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration	14	4	56
Hours for off-the-classroom study (Pre-study, practice)	14	6	84
Midterm	2	3	6
Final	1	3	3
Total Work Load			149
Total Work Load / 25 (h)			5,9
ECTS Credit of the Course			6

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