ISM5212 Quality ManagementBahçeşehir UniversityDegree Programs ENERGY AND ENVIRONMENT MANAGEMENT (TURKISH, NON-THESIS)General Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ENERGY AND ENVIRONMENT MANAGEMENT (TURKISH, NON-THESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
ISM5212 Quality Management Spring 3 0 3 12
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: Turkish
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Assoc. Prof. AHMET BEŞKESE
Course Lecturer(s): Assoc. Prof. AHMET BEŞKESE
Recommended Optional Program Components: N.A.
Course Objectives: The aim of the course is to provide the
fundamentals of quality management including
statistical quality control. The course covers
causes of variation, statistical process control,
control charts, quality control tools and
techniques. The managerial and organizational
aspects of quality, total quality management
(TQM), quality awards, quality assurance
systems, the IS0 certification process, six-sigma
and the DMAIC process are also covered.
Applications with statistical software packages
are also utilized.

Learning Outcomes

The students who have succeeded in this course;
I. Discuss quality, quality improvement and different dimensions of quality.
II. Describe the quality management philosophies of Deming, Juran, Feigenbaum and Crosby.
III. Discuss TQM, six-sigma, ISO standards and quality awards.
IV. Explain the steps of DMAIC.
V. Recognize the chance and assignable causes of variability in a process.
VI. Use the basic process improvement tools of statistical process control.
VII. Evaluate confidence intervals for one sample and for comparing two samples.
VIII. Construct different types of control charts for variables.
IX. Analyze process capability using control charts.
X. Construct different types of control charts for attributes.

Course Content

The course covers acceptance sampling, types of sampling plans, causes of variation, statistical process control, control charts, quality control tools and techniques. The managerial and organizational aspects of quality, total quality management (TQM), quality awards, quality assurance systems, the IS0 certification process, six-sigma and the DMAIC process are also covered.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to Quality: basic definitions and historical development of quality and quality improvement
2) Relation between quality and productivity, quality costs, quality management philosophies
3) Management Aspects of Quality: TQM, ISO, Six-sigma
4) Management Aspects of Quality: DFSS, Lean, DMAIC process
5) Tools and Techniques for Quality Control and Improvement
6) Statistical Inference about Product and Process Quality
7) Statistical Inference about Product and Process Quality
8) Midterm
9) Control Charts for Variables: Xbar-R, Xbar-S, I-MR control charts
10) Control Charts for Variables: CUSUM, EWMA control charts
11) Process Capability Analysis using Control Charts
12) Control Charts for Attributes: p, np control charts
13) Control Charts for Attributes: c, u control charts
14) Project presentations

Sources

Course Notes / Textbooks: Douglas C. Montgomery, Cheryl L. Jennings, Michele E. Pfund, 2011. Managing, Controlling, and Improving Quality, John Wiley & Sons, 1st Edition
References: Douglas C. Montgomery, 2009. Statistical Quality Control: A Modern Introduction, John Wiley & Sons, 6th Edition

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 4 % 10
Project 1 % 20
Midterms 1 % 30
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 2 28
Presentations / Seminar 1 10 10
Project 1 40 40
Homework Assignments 4 10 40
Midterms 1 15 15
Final 1 20 20
Total Workload 195

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Integration and application of limited or missing information by using scientific methods and ability to combine information from different disciplines
2) Gaining the abilitiy to reach the knowledge by employing scientific research and literature survey
3) Building energy and environment-oriented engineering problems, producing solutions by employing innovative methods
4) Gaining ability to develop innovative and original ideas, designs and the solutions
5) Gaining knowledge and information on modern techniques and methods that are available in engineering applications and comprhensive knowledge on adaptation and applicability of these techniques
6) Ability to employ analytical, modeling, and experimental design, and implement research-based applications; ability to analyze and interpret complex conditions might occure during this process
7) Leadership in multi-disciplinary teams, offering solutions for complex cases and undertaking responsibility in such cases
8) Expressing professional skills and results of the studies verbally or written in national or international environments
9) Adequacy on consideration of social, scientific and ethical values on any professional work
10) Awareness about innovations on operations and application areas of the profession and ability to review and learn improvements when necessary
11) Understanding social and environmental extents of engineering applications and ability to harmony with the social environment