Lean Six Sigma 4.0
- Credits: 10
- Ending: Examination
- Range: 16sP
- Semester: summer
- Year: 1
- Faculty of Business Economics with seat in Košice
Teachers
Included in study programs
Teaching results
The main educational goal of the course is to focus on performance improvement by systematic waste elimination and variation reduction, in the conditions of the Fourth Industrial Revolution, combining lean manufacturing / lean enterprise and Six Sigma method, focusing on eliminating the eight major types of waste (muda): defects, overproduction, downtime, non-use of talent, transport, inventory, movement and extraordinary processing.
Knowledge:
• in the field of systematic waste disposal in production and services in the conditions of Industry 4.0,
• in the field of increasing the efficiency of processes and companies,
• on the most important systems, techniques and tools for quality assurance both in development and in production and services.
Competencies:
• ability to select suitable systems, tools, and techniques that can be used to improve business performance by systematically disposing of waste and reduction of variability,
• to identify and verify the conditions necessary for the use of a suitable system or method and select the most suitable one in terms of specific implementation in the company,
• ability to interpret and verify the results of the implementation of the methods in practice.
Skills:
• the ability to implement individual systems, techniques and methods in the conditions of Industry 4.0,
• Computational literacy at the user level in the area of available software products relevant to the systems, techniques and methods taught,
• share and communicate the outputs obtained accurately, concisely and in an understandable form.
Indicative content
• Lean Six Sigma methodology and the time of Industry 4.0
• Design for Six Sigma methodology
• Axiomatics design
• Statistical tolerancing, COPQ
• Taguchi methods
• Lean management
• Creativity Techniques
• Design for X
Support literature
1. TKÁČ, Michal - LYÓCSA, Štefan. On the evaluation of Six Sigma projects. In Quality and Reliability Engineering International. - Oxford : John Wiley and Sons. ISSN 1099-1638, 2010, vol. 26, no. 1, p. 115-124.
2. GEORGE SR, M. L., BLACKWELL, D. K., GEORGE JR, M. L., & RAJAN, D. (2019). Lean Six Sigma in the age of artificial intelligence: Harnessing the power of the fourth industrial revolution. McGraw-Hill Education.
3. PYZDEK, Thomas; KELLER, P. A. The Six Sigma Handbook. 5-th Ed. 2018.
4. BASS, Issa. Six sigma statistics with Excel and Minitab. New York: McGraw-Hill, McGraw-Hill Education, 2018 2-nd Ed. ISBN: 978-0071838757
5. PYZDEK, Thomas – KELLER, Paul. Six Sigma Handbook. United States : Copyright © McGraw-Hill Education, 2014. 675 s. ISBN 978-0-07-184054-5.
6. GASPERSZ, Vincent. Lean Six Sigma. Jakarta : Gramedia Pustaka Utama, 2007. 325 s. ISBN 979-22-2559-5.
7. CREVELING, M. Clyde – SLUTSKY, Jeff – ANTIS, David. Design for Six Sigma in Technology and Product Development, 1st Edition. Pearson Education, 2002. 800 s. ISBN 978-0-13-009223-6
8. YANG, Kai – EL-HAIK, Basem. Design for Six Sigma: A Roadmap for Product Development. Copyright © 2009, 2003 by The McGraw-Hill Companies, Inc., 2009. 768 s. ISBN 978-0-07-154767-3.
9. SUH, Nam Pyo – LEE, Dai Gil. Axiomatic Design and Fabrication of Composite Structures - Applications in Robots, Machine Tools, and Automobiles. Oxford : University Press, 2005. 709 s. ISBN. 978-0195178777.
10. DEHNAD, Khosrow. Quality Control, Robust Design, and the Taguchi Method. Springer Science & Business Media, 2012. 309 s. ISBN 978-1-4684-1474-5.
Syllabus
• Six Sigma in practice. Lean Six Sigma. • New product development. Concept – knowlege (C-K) theory. • The indenpendence Axiom. The information Axiom. Design structure matrix. • The Economics of Tolerance. Cost of Poor Quality. • Taguchi Loss Function and Tolerance. Tolerance Based on Taguchi's Loss function. • Lean management tools, lean purchasing. • TRIZ classical. TRIZ for Business and management. • Design to cost. Target costing. Design for assembly. Design for service. • Recommended software: R Studio, IBM SPSS Modeler
Requirements to complete the course
30% - active participation in colloquia, presentation of a selected topic
30% - research study
40% - final exam
Student workload
Participation in colloquia: 16 hours
Preparation for colloquia: 44 hours
Elaboration of a research study: 100 hours
Preparation for the final exam: 100 hours
Language whose command is required to complete the course
Slovak language / English language
Date of approval: 06.09.2024
Date of the latest change: 20.01.2022