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Course title Manufacturing Engineering and Quality Management II
Course code MašZ4066
Credit points (ECTS) 3
Total Hours in Course 81
Number of hours for lectures 8
Number of hours for seminars and practical classes 8
Number of hours for laboratory classes 16
Independent study hours 49
Date of course confirmation 25/09/2019
Responsible Unit Institute of Engineering and Energetics
 
Course developers
Mg. paed., pasn. Dace Rotgalve-Birziete
Mg. sc. ing., pasn. Jānis Galiņš

Prior knowledge
MašZ4065, Manufacturing Engineering and Quality Management I
Course abstract
The aim of the course is to acquire knowledge of manufacturing technologies, evaluate the inaccuracies resulting from the processing, size dispersion and analyse the causes. Students get acquainted with the methods of ensuring precision of machining, calculations of margins, designing and economical evaluation of technological processes of manufacturing of parts. Students learn the specifics of using numerically controlled machines, technologies of assembly and testing of machines, as well as the tendencies of mechanical engineering development. During the course students gain a basic understanding on the essence of quality, basic concepts, quality management tools and quality costs. Students become acquainted with international quality standard types, understand their operating principles and implementation conditions.
Learning outcomes and their assessment
1. Knowledge - understands the principles of quality management, acquires the theoretical foundations of the quality management system, methods and their use in accordance with international standards. Knowledge of parts, assemblies and machine components (Test 1, 2).
2. Skills - apply quality management tools and apply them in various fields. Skills to choose the optimal one from several possible technological solutions and justify its advantages.Skills to develop a part workholding scheme and machining technological sequence, to select a workpiece, to create programs for machining parts with CNC control machines (6 practical works).
3. Competence - to apply the acquired knowledge in creativity, marketing and production and / or service provision in different fields. Competence in mechanical engineering processes, their role in product manufacturing algorithm development and quality assurance. Competence in the choice of workpiece parameters and their processing technology, ability to develop technology for component manufacturing and assembly of machines (Independent work - report).
Course Content(Calendar)
1. Making 3D surfaces in Mastercam. (2h)
2. Making 3D solid models in Mastercam. (2h)
3. Application of 3D milling operations in Mastercam program. (2h)
4. Importing files into Mastercam. Selection of workpiece bases and program zero point. (2h)
5. Surface quality assurance. Surface roughness and its criteria. Factors affecting surface roughness. (2h)
6. Selection of measuring tools for precision control of machined surfaces. (2h)
7. Deformations of the technological system. Deformations due to temperature and internal stresses. (2h)
8. Evaluation of labor intensity and economy. Development of product control technology. (2h)
9. The essence of quality management system, basic concepts and objects of quality management. (2h)
10. Quality costs and quality management system development, implementation. (2h)
11. Total quality management. (2h)
12. EFQM – model of excellence. LEAN management principles. (2h)
13. Types of international quality standards. (2h)
14. Product and service certification. CE marking. (2h)
15. Quality audit. (2h)
16. Latvian Quality Award. (2h)
Requirements for awarding credit points
1. Successful assessment in tests.
2. Passed practical and laboratory works during workshops.
3. Evaluation of reports in classes. Accumulated test.
Description of the organization and tasks of students’ independent work
Practical work in CNC program development using Mastercam and CNC simulator. Preparation of report on individually chosen topic (Quality management).
Criteria for Evaluating Learning Outcomes
1. A student receives a passing grade in the test if at least 50% of the questions have been answered.
2. Practical work completed and defended on time.
3. Presentation of the prepared report (graded).
4. (Quality Management) consists of: 2 successfully completed written tests, report evaluation and completed practical assignments.
5. (Production Engineering) consists of successfully completed written tests and completed practical assignments. 6. Final (cumulative) average grade for both parts of the course.
Compulsory reading
1. Fischer U., Heinzlet M., Naher F. Mechanical and Metal Trades Handbook. Haan-Gruiten: Verlag Europa Lehrmittel, Germany, 2010. 428 p.
2. Haas Operator’s Manual, 2019. [tiešsaiste] [skatīts 09.09.2019.] Pieejams: https://www.haascnc.com/owners/Service/operators-manual.html
3. Tschatsch H. Applied Machining Technology. Germany, Dresden: Springer, 2009. 370 p.
4. Ashby M., Shercliff H., Cebon D. Materials engineering, science, processing and design [e-book]. Oxford: Butterworth-Heinemann; 2007. [tiešsaiste] [skatīts 09.02.2018.] Pieejams: ar LLU IS kontu: http://ezproxy.llu.lv/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=e000xww&AN=187430&site=ehost-live&scope=site
5. Askeland D. R., Phule P. P. The Science and Engineering of Materials. Ontario: Thomson, 2006. 863 p.
6. Norton R. L. Design of Machinery with Student Resource. DVD. Edition 5, 2011. 612 p.
7. Janakiraman B., Gopal R. K. Total Quality Management: Text And Cases. PHI Learning Pvt. Ltd, 2006. 260 p.
8. Duffy G. L. The ASQ Quality Improvement Pocket Guide: Basic History, Concepts, Tools, and Relationships. Milwaukee, Wisconsin: ASQ Quality Press, 2013. 141 p.
9. Vasiļevska D. Kvalitātes nodrošināšanas vadība. Rīga: Juridiskā koledža, 2017. 234 lpp.

10. Leilands J. Kvalitātes vadības sistēmas Jaunā ISO 9001:2008 standarta prasību skaidrojums. Rīga, 2009. 176 lpp. 11. Krūmiņš J., Krūmiņa I. Statistisko metožu lietošana kvalitātes vadīšanā un nodrošināšanā. Rīga: LU, 2001. 42 lpp.
Further reading
1. Gygi C., Williams B. Six Sigma for Dummies. John Wiley & Sons, 2012. 408 p.
2. Oakland J.S. Total Quality Management text with cases. Oxford: Elsevier, 2003.
3. Barone St., Franco E. L. Statistical Managerial Techniques for Six Sigma Methodology: Theory and Application. John Wiley & Sons, 2012. 382 p.
4. Lāmanens K., Tominens K. Procesu vadības izcilības kritēriji. Organizācijas novērtēšanas rokasgrāmata. Rīga: Biedrība”Latvijas Biznesa konsultantu asociācija”, 2007. 120 lpp. 5. Taminens K. EFQM. Izcilības modelis biznesa organizācijām. Organizācijas novērtēšanas rokasgrāmata. Rīga: Biedrība ”Latvijas Biznesa konsultantu asociācija”, 2007. 170 lpp.
Notes
Compulsory course in bachelor`s study programme Biosystems Machinery and Technologies. 3rd year 6th semester.