Course Information
SchoolMechanical Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorGeorgios Tagaras
Course ID20000320

Programme of Study: UPS of School of Mechanical Engineering

Registered students: 85
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 Year2019 – 2020
Class PeriodSpring
Faculty Instructors
Weekly Hours4
Class ID
Type of the Course
  • Scientific Area
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
  • Distance learning
Digital Course Content
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
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.
Quality, statistical methods
Educational Material Types
  • Video lectures
  • 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
Part of the lectures and final exams through Skype for Business, Zoom. Announcements and general information about the course are available at eLearning (
Course Organization
Reading Assigment752.5
Written assigments180.6
Student Assessment
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)
  • Written Exam with Problem Solving (Summative)
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.
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