QUALITY MANAGEMENT AND STATISTICAL QUALITY CONTROL
| Title | ΔΙΟΙΚΗΣΗ ΠΟΙΟΤΗΤΑΣ ΚΑΙ ΣΤΑΤΙΣΤΙΚΟΣ ΕΛΕΓΧΟΣ ΠΟΙΟΤΗΤΑΣ / QUALITY MANAGEMENT AND STATISTICAL QUALITY CONTROL |
| Code | 12ΕΖ04 |
| Faculty | Social and Economic Sciences |
| School | Economics |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter |
| Coordinator | Christos Zikopoulos |
| Common | Yes |
| Status | Active |
| Course ID | 600000324 |
Programme of Study: UPS School of Economics (2013-today)
Registered students: 57
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| OIKONOMIAS | Elective Courses belonging to the other | 7 | 4 | 3 |
| DIOIKĪSĪ EPICΗEIRĪSEŌN | Elective Course belonging to the selected specialization (Elective Specialization Course) | 7 | 4 | 3 |
| Academic Year | 2023 – 2024 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Class ID | 600241790
|
Class Schedule
| Building | Αμφιθέατρα Νομικής & Κοινωνικών και Οικονομικών Επιστημών |
| Floor | Όροφος 1 |
| Hall | ΑΙΘΟΥΣΑ 2 (160) |
| Calendar | Montag 09:00 to 12:00 |
Course Type 2021
Specialization / Direction
Course Type 2016-2020
- Scientific Area
- Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600241790
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
Upon successful completion of the course, students will be able to
- understand the important role of quality as a means of improving the competitiveness of enterprises.
- understand the concept of quality through the different definitions which have been given
- measure, control and improve quality while taking into account the related cost of quality
- understand the main procedures for the successful implementation of quality assurance systems in an enterprise.
- apply Statistical Quality Control techniques for the determination of the ability of processes and finished products to meet specific requirements and for the improvement of outgoing quality, such as Acceptance Sampling and Statistical Process Control (SPC)
General Competences
- Apply knowledge in practice
- Make decisions
- Work autonomously
- Advance free, creative and causative thinking
Course Content (Syllabus)
Week 1: Introduction to Quality Management . Definitions, strategic importance and dimensions of quality . TQM , definition and basic principles.
Week 2 : Quality of services. Differences between products and services and the general context for the analysis of service systems. Customer satisfaction. Evolution of quality management, different approaches (Juran, Crosby, etc.) and the current domestic practice.
Week 3 : Economic analysis of quality. Cost of good and bad quality, optimal quality level. Reduction of the cost of quality. Suppliers evaluation.
Week 4: Methods and Tools for Quality Management. Techniques for the development of TQM, simple graphical methods and administrative tools.
Week 5: Workshop 1: Applications for quality assurance using commercial software.
Week 6: Statistical Quality Control: the necessity of sampling and the evaluation of the statistical properties of sampling plans.
Week 7 : ELOT 389.0-398.1 and ISO 2859 standards for lot-by-lot acceptance sampling for attributes.
Week 8: ISO 3951 and ANSI / ASQC Z1.9-1980 standards for lot-by-lot acceptance sampling by variables.
Week 9: Workshop 2 : Applications of ELOT 389.0-389.1 (ISO 2859) and ISO 3951 standards using commercial software.
Week 10: Statistical Quality Control. Methods, philosophy and charts development.
Week 11: Applications of statistical quality control for managing services quality (public sector, bank, telecommunications) .
Week 12: Lab 3: Application of the methodology of process capability analysis using commercial software.
Week 13: Quality assurance systems. ISO 9000 standards. Advantages and disadvantages. Certification procedure and certifying bodies. Critical examination of the domestic practice.
Keywords
Statistical Quality Control, Acceptance Sampling, Statistical Process Control, Services
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 Laboratory Teaching
- Use of ICT in Communication with Students
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 60 | 2.1 | ✓ | ||
| Interactive Teaching in Information Center | 9 | 0.3 | ✓ | ||
| Written assigments | 13 | 0.5 | ✓ | ||
| Exams | 2 | 0.1 | ✓ | ||
| Total | 84 | 3 |
Student Assessment
Description
Described in both course’s syllabus and in course’s Blackboard-website.
Student Assessment methods
- Written Exam with Short Answer Questions (Summative)
- Written Assignment (Formative)
- Labortatory Assignment (Formative)
Bibliography
Course Bibliography (Eudoxus)
Ταγαράς, Γ., «Στατιστικός Έλεγχος Ποιότητας», Εκδόσεις Ζήτη, Θεσσαλονίκη, 2001.
Μπερσίμης, Σ., Ρακιτζής, Α., Σάχλας, Α., «Στατιστικός Έλεγχος Ποιότητας», Εκδόσεις Τζιόλα, Θεσσαλονίκη, 2021
Additional bibliography for study
Αυλωνίτης Σ.Α., «Στοιχεία Ελέγχου και Διασφάλισης Ποιότητας», Εκδόσεις Ίων, Αθήνα, 2004.
James, P., «Μάνατζμεντ Ολικής Ποιότητας», Εκδόσεις Κλειδάριθμος, Αθήνα 1998.
Λογοθέτης, Ν., «Μάνατζμεντ Ολικής Ποιότητας», 2η έκδοση, Εκδόσεις Interbooks, Αθήνα, 2005.
Ξένη
Evans, J.R., «Total Quality: Management, Organization and Strategy», 4th edition, South-Western College Pub; 2004.
Goetsch, D.L., Davis, S.B., «Quality Management: Introduction to Total Quality Management for Production, Processing, and Services», 4th edition, Prentice Hall, 2003.
Montgomery, D.C., «Introduction to Statistical Quality Control», 3rd edition, Willey and Sons, 1997.
Last Update
02-10-2023
