Skip to main content
TR

QUALITY ENGINEERING

Course
EMNT509 - QUALITY ENGINEERING
Department
Engineering Management - English - Master
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
0
T+P+L
3 + 0 + 0
Course Coordinator(s)
-
Prerequisite
-
Keywords

Course Description

The aim of the course will give the students critical Quality Engineering concepts and tools. Students can gain essential knowledge and skills relating to quality systems, auditing, product and process control and design, quality methods and tools, applied statistics and Design of Experiments. Objective of the course is understand basic quality management principles, understand the relationship of the quality engineer to the quality system, analyze the relationship of statistics to a process, understand process capability and use statistical process control to monitor a process, generate acceptance sampling plans and identify and use technical quality tools, incorporate quality technology in design, customer-supplier relationships, reliability, availability, and maintainability (RAM), materials control, measurement, auditing, quality costs and document control within a quality system, apply problem-solving tools and basic statistical concepts.

QUALITY ENGINEERING

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

  1. 01 1. Discuss the philosophies of quality, quality management and continuous improvement
  2. 02 2. Assess the importance of and the differences between different approaches, tools and techniques for organizing for quality
  3. 03 3. Evaluate different types of quality costs
  4. 04 4. Appraise the measure the quality of goods/services and capability of processes
  5. 05 5. Design the problem solving systematic for continuous improvement
  6. 06 6. Apply quality tools and techniques to diagnose, analyze and solve problems
  7. 07 7. Demostrate teamwork

Course Syllabus

Week Topic
Week 1 Int. To Quality Control and TQM
Week 2 Various management philosophies and their effects on quality
Week 3 Practices, tools and standards employed in Quality Management
Week 4 Graphical Methods of data presentation and quality improvement
Week 5 Statistcal Process Control (SPC) and Control Charts
Week 6 Control Charts for Attributes
Week 7 Problem solving session 1
Week 8 MIDTERM EXAMINATIONS WEEK
Week 9 Process Capability Analysis
Week 10 Acceptance Sampling Plans
Week 11 Reliability
Week 12 Quality in Service Sector
Week 13 -
Week 14 -
Week 15 -

Reference Books & Course Materials

  1. 01 MITRA, Amitava, "Fundementals of QUALITY CONTROL AND IMPROVEMENT, 6th. Ed., Prentice Hall
  2. 02 SMITH, Gerald, "Statistical Procwss Control and Quality Improvement", 5th. Ed.Pearson Prentice-Hall, 2004.
  3. 03 DeVor, Richard, et al,"Statistical Quality Design and Control", 2nd. Ed., 2006.

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

  1. 1. Critically evaluates current and advanced knowledge in civil engineering and makes original contributions that expand the boundaries of the field.
  2. 2. Identifies complex engineering problems, develops new methods or models, and scientifically validates them.
  3. 3. Analyzes existing theories, methods, and applications in depth and applies them to new areas of research.
  4. 4. Designs, conducts, and interprets independent scientific research within disciplinary or interdisciplinary contexts.
  5. 5. Plans, executes, and completes original research in accordance with principles of scientific ethics and integrity.
  6. 6. Designs and develops innovative systems, processes, or methodologies in the field of civil engineering.
  7. 7. Evaluates scientific, technological, social, and environmental developments in the field and proposes sustainable engineering solutions.
  8. 8. Effectively uses and develops advanced computational, modeling, and simulation techniques in civil engineering applications.
  9. 9. Critically reviews national and international scientific literature in the field and produces original scholarly publications.
  10. 10. Communicates scientific research and its results effectively through written, oral, and visual means in national and international contexts.
  11. 11. Demonstrates leadership in interdisciplinary research environments, initiates new collaborations, and manages research teams.
  12. 12. Utilizes knowledge and expertise for the benefit of society, evaluates the ethical, social, and environmental impacts of engineering practices, and makes responsible decisions.

Po-Lo Matrix

The PO-LO matrix has not been populated yet.