Curricula

Description

TL00CX99	Statistical Quality Management and Six Sigma (5 cr)
Prerequisites	Not applicable
Objectives	1. Master the most important Six Sigman methods and tools. 2. Identify when, why and how you can use and utilize Lean Six Sigma. 3. Understand the importance of statistical quality management as part of your business.
Content	• Statistics and Excel • Statistical methods • Minitab • DMAIC 12 steps • Six Sigma simulation: “Electric car valve lift sliding bearing”
Recommended optional programme components	If necessary, the student advisor will recommend optional programme components for each student based on their individual study plan.
Accomplishment methods	Not applicable
Execution methods	Not applicable
Materials	Not applicable
Literature	Not applicable
Evaluation Criteria	Not applicable
Evaluation Criteria	pass/fail 1. -The student can explain what Lean Six Sigma method and tools are -Students open the basic principles of Lean Six Sigma 2. -The student gives concrete examples of how to use Lean Six Sigma - The student knows when Lean Six Sigma is suitable for a development approach 3. - The student knows how Lean Six Sigma development differs from traditional Lean development, eg process development -The student explains the importance of statistical quality management in company operations
Assessment Frameworks	Not applicable
Further Information	Not applicable
Responsible persons	Ville Salmi, Tauno Jokinen
Links	Not applicable

16.5.2024 08:32:56