Quality Management System and Regulative in Power Engineering
Course title: Quality Management System and Regulative in Power Engineering
Code: FEIT04Z010
Number of credits (ECTS): 6
Weekly number of classes: 3+1+1+0
Prerequisite for enrollment of the subject: Taken course: management engineering and economics
Course goals/Competences: Organized and scientific approach to the quality management system in power engineering companies. Obtaining basic knowledge about the methods and techniques for planning, ensuring and quality control. Introducing regulation in electricity and methods for establishing quality management systems companies in the electricity sector.
Total available number of classes: 180
Curriculum: Definition of quality products and services in the field of power engineering. Quality as project's parameter. Business aspects of quality. Deming PDCA cycle and its application. Planning, ensuring and quality control. Quality Management Models: TQM, Six Sigma, ZDM. Statistical quality control. Tools and concepts for providing quality international standards (ISO), basic principles, structure and application. Regulation in the EU and the Republic of Macedonia in the field of power engineering. Comparative analyses. Acts of liberalization of the electricity market. Grid Code. Energy Law in the Republic of Macedonia. IEEE and IEC standards in the field of electricity. Providing quality and reliable operation of power system. Regulation for design, review and supervision of power facilities in the Republic of Macedonia.
Literature:
Literature |
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Compulsory literature |
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No. |
Author |
Title |
Publisher |
Year |
1 |
D. Hoyle |
Quality Management Essential |
Elsevier |
2007 |
2 |
Official newspaper of RM |
Legislation in the field of energy |
Official newspaper of RM |
2000-2011 |
3 |
VenJuan Lee |
Risk assesments in Power Systems |
Project of the Government of RM |
2009 |
Further literature |
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No. |
Author |
Title |
Publisher |
Year |
1 |
M. Djuric |
Upravljanje kvalitetom |
ICIM – Krusevac |
2001 |
2 |
J. Oakland |
Statistical Proces Control |
Butterwort-Heineman |
2003 |