7 days of lectures with discussion groups and practical exercises/activities and then the exam
Lecture day 1
08:15 What is Six Sigma and its story 08:52 The "Define" phase 09:21 Exercise: Problem description 09:25 Process scheduling plan 09:47 Exercise process flow plan 09:51 SIPOC model and schedule 10:13 Break 10:28 Exercise SIPOC 10:32 CTQ 12:00 Lunch 12:45 Exercise: Operative definitions 12:49 Project frame 13:00 y = ƒ (x) 13:15 y = ƒ (x) exercise 13:19 Process scheduling plan 13:22 cause-effect diagram: 14:14 Break 14:29 Project letter 15:10 Define results of the phase 15:30 End
Lecture day 2
08:15 The "Measure" phase 09:32 Data collection plan 09:54 Break 10:09 exercise data sources 10:13 grouping of data - layering 10:28 Data collection tools 10:58 Rew's sample 11:35 Exercise: Data collection plan 11:38 Sample removal 11:42 Statistics 12:08 Lunch 12:53 parameters of the location 13:08 parameter of the scatter 13:19 Normal distribution 14:11 Break 14:26 Exercise: Normality 14:29 Normal distribution 14:33 Introduction of graphic representations 15:30 End
Lecture day 3
08:15 Measurment System Analysis 08:55 Exercise: Operative definition 08:59 measuring system analysis 09:21 Gage R&R 10:02 Break 10:17 Central border value, 10:28 Data collection sheet 10:46 MSA scattering components 11:05 Exercise: measuring system analysis 11:09 Measurement system analysis atributive 11:46 Lunch 12:31 measuring system analysis 12:38 Process capability 13:34 capacity examination: variable data 14:25 Break 14:40 Z value: another ability index 15:30 end
Lecture day 4
08:15 Process capability 09:10 Break 09:25 FMEA Evaluate 10:06 phase 10:24 Inference statistics 11:01 Lunch 11:46 Root Causes 12:45 significance 12:57 The hypothesent test 14:55 Break 15:30 End
Lecture day 5
08:15 Process analysis tools 08:48 Graphical evaluation methods 11:31 Break 11:46 basic causes 11:57 The "improve" phase 12:00 noon 12:45 improve elements of the phase 13:41 Pause 15:30 End
Lecture day 6
08:15 Correlation and simple regression 10:02 Pause 10:17 Residuen 11:01 Exercise: Modeling of Y = F (x) 11:05 Statistical test planning (doe) 12:12 Lunch 12:57 Exercise: helicopter attempt 13:00 Statistical test planning (doe) 13:08 Break 13:23 FMEA and documents 14:22 Exercise: Validation of improvements 14:26 The "Control" phase 15:10 exercise: error prevention 15:30 End
Lecture day 7
08:15 standard cards 10:02 Break 10:17 Elements of a long-term MSA 10:28 The controversy phase 12:00 Lunch 12:45 Leadership Program 12:53 Project Management Model 13:22 Team Management Model 14:03 Break 14:18 Change Management 14:29 Exercise: perceive change 14:33 Change Management? 15:30 End
Exam day
10:00 accreditation 10:15 distribution of exam 10:30: Start 11:00 Collection of exam 11:15 Scan exams 11:45 With the house -in -house Matlab ML Apply the exam marks on site or centrally 13:00 End
At this event, bachelor and master students from all areas of the university come together.