B1. Tableting Flashcards
Why do we use the six-sigma process?
use to improve the quality of product and so having a productivity and efficiency of the manufacturing process
what’s the aim of the SS-process?
it is to eliminate defects and reducing variation
What’s the DPMO
is the 3.4 defects per million opportunities, which is the results of using SS-proces
What’s the ad von SS instead of 3 S
the UCL and LCL are within the operation window, whereas in 3-S they are not
What is the DPMO of 3-sigma?
66810
Definition of SS
a methodology for eliminating variability, defects and waste in a product or process
What is the approach in SS
a data-driven approach
How are defects reduce
By six standard deviation between the mean and the nearest specification limits
What are the two methodology of the SS- process?
DMAIC, DMADV
DMAIC?
Define (control chart) , Measure ( plots), Analysis (DoE, FMEA), Improve and Control (CC)
DMADV
Define, Measure, analysis, Design and Validate
What is a statistical process control (SPC)
it is a tool to translate the variation of a process into values
What kind of variation?
Special cause and common cause variation
Special cause variation?
Variation which are larger in magnitude and can be identified
Common cause variation?
Sum of multitude of effects of a complex interaction
control charts are used to
use to analyses variation causes
What are the three zones in CC?
Zone 1: no actions should be taken
Zone 2: Collection of more information
Zone3: Action required
Zone 2 and 3 are, and zone 1
Zone 2 and 3 are Special causes variation
and zone 1 common cause vairation
Of what does a CC consist?
Central line (average values) UCL and LCL
UCL and LCL are set
3-standard deviation, which is only true when the SD is knwon for the giving process
What is a start-up phase?
where data are collected to create CC
Categorization of Data into?
Attribute data and continous data
Which CC are used in continous data?
x-bar, range and s-charts
x-bar and R are
charts use to defined the stability of the process
x-bar and s-chart?
used for checking mean and variation of a process
What is the equation for LCL and UCL for x-bar?
LCL: mean - A3 *sd
UCL: mean+ A3 * sd
What is the equation for LCL and UCL for s-cart?
LCL: B3 *sd
UCL: B4 * sd
Why do we used the anti-biasing constants and on what does it depends?
ULC and LCL are 3-sd from the mean, although the sample size is low
the empirical standard deviation can only be used with high sample size.
it depends on the sample size, used to create the CC
IPC is use for?
Testing of various quality characterist of intermediates and statistical evaluation of results via control chart
MSPC?
multivariate statistical PC
statistical evaluation of process data or by comparison of to histrical data
PAT?
Process analytical technology
Analysis of quality characteristics by PA in real time
IPC and guidline?
No information in the guidlines what has to be tested, how and where and how frequently
What is the product life cycle?
lap phase, pilot phase
validation phase
lap and pilot phase?
Process design, IPC testing
identify CCP and CMA
Defination of OP limits and inprocess monitoring strategies
–> Data Accumulation
Validation phase?
modification of IPC
process qualification
Focus on critical paramater
What are process capability index?
measures the ability of a process to produce output within specification limits
When is a process capable?
when “ almost all” meansurements of a feature produced by the process fall inside the specification limits
what are typical process capability indices?
Cp, Cpk and Cpm
Cp
process mean (scattering of the process results)
limits of Cp?
Cp >1 process meets specification
what’s the benchmark?
Cp > 1.33
When happend if the mean is not centered?
it leads to Cp overestimates process capability
Equation for Cp
Cp= UCL-LCL /6 sd
Cpk is?
adresses data centering, can be positive, zero or negative
What happend if the Cpk is asymmetric?
underestimation of the proces capability
Cpm?
is a measure of the overall process capability
comparing the specification spread to the spread of your process data while taking into accout the deviation from the target value
Shewhart chart?
Singel (raw) data points
not sensitve to small shifts, can easily detect large changes
EWMA chart
exponential weighted moving averages of all prior sample means.
Cusum chart?
cumulative sum of differences
detects small shifts over time
Calibration and validation of charts?
Calibration: statistical analysis of common variation in the process (UCL, LCL)
Validation: test the charts to distinguish common variation from uncommon variation
different between the shewhart and EWMA chart
Shewhart is not senstve to small shifts, can easily detect larger changes
whereas, EWMA can easily detect small shifts in process means, but not suitable to monitor process variability
Rule of seven?
When 7 points are below or above the limits, assignable cause that needs to be investigated
MSpC is important for?
QA but not the sole indicator of product quality
lean manufacturing
minimizing waste by getting rid of activites that don’t directly generate values for the customer
TIM WOODs?
Transport, Inventory, Motion, Waiting, Overproduction, Overprocessing, Defects
5S?
sort, set in order, shine, standardize, sustain
Poka-Yoke
mistake proofing
elimimation, facilitation, mitigation ( reduce the impact of a failure) and flagging (mak a failure visible)
Tablets machines?
eccentric, rotary or a IMA press
excentre press
disc is fixed excentre
UP–> densification
LP–> fixed during compression
How is the densification on the excentre press?
asymetric, having a sinusidal movement of UP velocity profile