QUALITY CONTROL METHODS AND MANAGEMENT

Course Information
TitleΤΕΧΝΙΚΕΣ ΚΑΙ ΟΡΓΑΝΩΣΗ ΕΛΕΓΧΟΥ ΠΟΙΟΤΗΤΑΣ / QUALITY CONTROL METHODS AND MANAGEMENT
Code223
FacultyEngineering
SchoolMechanical Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorGeorgios Tagaras
CommonYes
StatusActive
Course ID20000320

Programme of Study: UPS of School of Mechanical Engineering

Registered students: 72
OrientationAttendance TypeSemesterYearECTS
EnergyElective Courses belonging to the other845
Design and StructuresElective Courses belonging to the other845
Industrial ManagementCompulsory Course belonging to the selected specialization (Compulsory Specialization Course)845

Class Information
Academic Year2020 – 2021
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Weekly Hours4
Class ID
600171091
Type of the Course
  • Scientific Area
Course Category
Specific Foundation / Core
Mode of Delivery
  • Distance learning
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
A very good knoledge of probability theory and statistics is very desirable and useful.
Learning Outcomes
The course presents systematically the modern methods of quality assurance placing special emphasis on the techiques of Statistical Quality Control (SQC). After the successful completion of the course the students should: - know the evolution, main principles and differences of quality control, quality assurance, and quality management, - be familiar with the concept of quality cost and the various types of quality improvement methods, - know the various acceptance sampling schemes and their properties, - know the main types of control charts and their properties, - be able to handle and solve problems related to control and assurance of quality of products and processes by means of scientifically rigorous quantitative methods.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work autonomously
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Introduction: brief history of quality methodology, quality management, quality costs, methods for quality improvement. Acceptance sampling: lot-by-lot acceptance sampling for attributes, single, double and multiple sampling plans, statistical and economic design. Statistical Process Control: capability analysis, control charts for attributes and variables, statistical and economic design. Quality Improvement with Statistical Experiments: using designed experiments in quality improvement. Taguchi methods. Planning, organising and developing quality systems for industry.
Keywords
Quality, statistical methods
Educational Material Types
  • Notes
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Description
All lectures and final exams through Zoom. Announcements and general information about the course are available at eLearning (https://elearning.auth.gr/course/view.php?id=7425).
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures521.7
Reading Assigment752.5
Tutorial
Written assigments180.6
Exams50.2
Total1505
Student Assessment
Description
The final grade M is a combination of the grades in the final written examination (T), the midterm examination (Π) and the project/homework (E) as follows: • If either Τ < 4,5 or (Τ+Π)/2 < 4, then the final grade is Μ = (0,8)Τ. • In every other case the final grade is Μ = max {(0,6)Τ + (0,3)Π + (0,2)Ε, (0,8)T}.
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Exam with Short Answer Questions (Summative)
  • Written Assignment (Summative)
  • Oral Exams (Formative)
  • Written Exam with Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
1. Ταγαράς, Γ.Ν. "Στατιστικός Έλεγχος Ποιότητας", εκδ. Ζήτη, Θεσσαλονίκη, 2001. 2. Λογοθέτης, Ν. "Μάνατζμεντ Ολικής Ποιότητας", εκδ. Interbooks, Αθήνα, 2005. 3. Παπαργύρης, Α.Δ. και Παπαργύρης, Δ.Α. "Ποιοτικός έλεγχος παραγωγής", εκδ. Ζήτη, Θεσσαλονίκη, 2010.
Additional bibliography for study
Montgomery, D.C. "Introduction to Statistical Quality Control", Wiley, 2012.
Last Update
09-05-2021