statapult exercise
DESCRIPTION
Statapult Exercise. Launch #1 Using what you are given, baseline the process for shooting the statapult . Remember: Customer desires a rapid-fire, precise, and accurate launcher that can launch projectiles over mountain ranges. Group Activity. - PowerPoint PPT PresentationTRANSCRIPT
![Page 1: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/1.jpg)
111
Statapult Exercise
![Page 2: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/2.jpg)
222
Group Activity
Launch #1Using what you are given, baseline
the process for shooting the statapult.
Remember: Customer desires a rapid-fire, precise, and accurate launcher that can launch projectiles over mountain ranges.
![Page 3: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/3.jpg)
333
LaunchSequence Distance
123456789
10111213141516171819202122232425
Statapult Instructions Launch #1
Every shot will be launched from a pull back angle of 177/65 degrees.
Each person on the team will perform an equitable number of launches (or as close as possible).
"Launching” means pulling back and releasing.
Time between each shot cannot exceed 15 seconds.
Record the distances on the table to the left.
Record the longest distance (Max) and the shortest distance (Min) and compute Range = Max - Min.
Range = ______________
Objective: To fire the statapult and record the distance for each of the launches. The measured distance will be from the back of the launcher to the point where the ball first lands. Record the distances in the order in which they were obtained.
![Page 4: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/4.jpg)
444
Statapult Launch #1
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
Launch Sequence
Distance
See graphing.pdfVI-19
![Page 5: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/5.jpg)
555
Short term data is considered free of assignable causes◦ One shift, one operator
Long term data is considered to contain both assignable and common caused variation◦ Multiple shifts, multiple operators
Processestend to exhibit more variation in the long term than the short
Sigma Values
VI-8
![Page 6: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/6.jpg)
666
Levels of MapsMaps can be created for many different levels of the process. Just like highway maps…
You can use a map of the USA…or if you need more detail, a map of the state...or if you need more detail, a map of the city.
Mapping works much the same way. Depending on the detail you need, create the map at that level. If you need more detail, then create a more detailed map of the sub-process.
High Level
Detail
VI-27
![Page 7: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/7.jpg)
777
Skin/Core Assembly
Upper Skin Assembly
Spar Assembly
Misc Details
65VLay-up
6A3Cure
Press L, M, or N
6A3Clean Tool
6P4Band SawHenri Line
6PAMech Assy
6PABond ClosuresBond Details
65QTap and Ziess
Post Bond
Closures
Misc Details
6PBClean Part
6P4Devlieg
Lay-up and Cure Clean and Inspect
65VTest Heater
Balnket
65QInspect
6PABond Details
65QInspect
6PAFill A/STRP
Electrical Assy
6PBLeak Test
6P8Paint
6PGStatic Balance
6PAElectrical Assy
Mech Assy
6PGTouch-up Paint
65QFinal Inspect
Fairings
6PA GatherComponents
Process Flow Diagram◦ Used to identify the steps in a
process◦ Good for process documentation
and knowledge gathering◦ May be used in definition, detail
design, analysis and control portions of a project
High Level Process Map
Visually sets the process steps in
order
VI-27
![Page 8: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/8.jpg)
888
To provide a graphical representation of the process with regards to ◦ the people involved, ◦ their responsibilities, ◦ functional interfaces and dependencies,◦ as well as process steps over time where
necessary.
Critical tool for transactional processes and when mapping information flow for industrial processes
Segregates steps by who does them or where they are done
Makes handoffs visible
Swim Lane (Functional or Deployment Maps)
A Swim Lane is a process flow diagram with resource responsibilities
VI-27
![Page 9: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/9.jpg)
999
Functional or Deployment Flow Diagram
Business Unit
I.T.
Finance
Top Mgt/ Corporate
Define needs
Prepare paperwork
Review &
approve
Review & approve standard
Review &
approve
Review &
approve
Acquire equipment
Supplier
Configure & install
Receive & use
Issue payment
Supplier
Sourcing
Process Steps
Resources Responsible for Process Steps
Graphical summary or roles & responsibilities for a process
VI-27
![Page 10: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/10.jpg)
101010
Process Flow ChartObjective: Develop a process flow diagram that explains the current process of how to launch a ball.
VI-27
![Page 11: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/11.jpg)
111111
SIPOC
Input Output
Supplier Customer
SIPOC is a process scoping tool that provides a high level definition of a process –
SIPOC should be used on all Six Sigma projects
Suppliers Inputs Process Outputs Customers
(Providers of the required resources)
(Resources required by the process)
(Process require-ments for the Inputs)
(Top level description of activity)
(Deliverables from the process)
(CustomerRequire-ments of the Outputs)
(Anyone who
receives a deliverable
from the process)
Process
VI-4
![Page 12: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/12.jpg)
121212
SIPOC – The Process Steps
Process CustomersRequirements Requirements
Brg suppliers, D/S Structures Brg data, shaft dia
Shaft dia, life, brg capacity, TRL's, cost, wt, reliability
Assess brg choices and select
brg selection or new bearing design brg spec Brg supplier
Shaft suppliers
Shaft mat'l characteristics, cost, special handling and machining reqm'ts
strength, buckling stability, fatigue life, dyn tuning, cost, wt, repairability, thermal compatibility with T/B
Assess shaft mat'l choices and select Shaft material selection
Special handling reqm'ts Manufacturing
" Cost, repairability Product support
Shaft suppliersShaft length availability, cost
cost, wt, tuning, handling, shaft length availability
Select one vs two piece shaft handling, shipping Product support
VOC, Product SupportAcceptability of long shaft handling, stocking, cost
"
Shaft suppliers Shaft mat'l characteristics, cost
Static strength, torsional buckling, stiffness and wt for dyn tuning, overall wt, cost, impact on sizing of bearing and end fittings
Size shaft Shaft sizing Shaft sizing D/S Design
Shaft size, plus existing data on damper sizing
Sizing as previously tested, fatigue strength, stiffness, clearances for shaft motion, compact design
Sizing as previously tested, fatigue strength, stiffness, clearances for shaft motion, compact design
Layout damper damper design drawing, build-to-print PO
Lord Corp
Fatigue, D/S StructuresStructural allowables and fastening options. New test data as req'd.
Strength, ease of assembly and installation
Design end fittings End fitting design dwgs End fitting design dwgs Manufacturing
Fatigue, D/S StructuresStruct allowables and detail sizing
Strength, compact design, bearing retention
Design bearing housing and damper attachments
Brg housing dwgs Brg housing dwgs Manufacturing
Fatigue, D/S StructuresStruct allowables and detail sizing
Ease of assembly, heat dissipation, compact sizing
Design shaft sleeve for bearing mount Sleeve design
Sleeve design with ease of assembly Manufacturing
Fatigue, D/S Structures Struct allowables and detail sizing
Shaft clearance for run-up motion, no shaft damage when sleeve and snubber contact
Design snubber and sleeve assembly
Snubber and sleeve dwgs
Ease of assembly Manufacturing
D/S Dynamics, D/S Design, Propulsion Design (oil cooler responsibility)
Natural freqs and mode shapes, allowable mods to oil cooler blower
Dynamic tuning, structural mods req'd to T/B struct., attachment options to oil cooler blower
Determine damper placement and forward attachment location
Best geometry for damper placement and forward end
Best geometry for damper placement and forward end
D/S Design
D/S Dynamics, D/S Design, Propulsion Design (oil cooler responsibility)
Natural freqs and mode shapes, allowable mods to oil cooler blower
Lightest overall wt, oil cooler attachment possibilities, minimize number of bearings, overall cost impact
Determine options for attachment of forward end of shaft
Best forward attachment concept
Best forward attachment concept D/S Design
D/S Design, Airframe Structures, A/F Design
Prefered placements of damper and snubber supports, T/B stiffness, T/B deflections
Damper placement requirements, tailboom strength and stiffness
Determine impact to T/B structure & design the mods
Dwgs of T/B mods Dwgs of T/B mods Manufacturing
Suppliers Inputs Outputs
Suppliers Inputs Process Outputs Customers
(Providers of the required resources)
(Resources required by the process)
Process Requirements for the Inputs
( Top level description of activity)
(Deliverables from the process)
Customer’s Requirements of the Outputs
(Anyone who
receives a deliverable
from the process)
1What is the process?
4Who is the customer of each output?
5What does
each customer
expect from each output?
8What does
the process expect
from each input?
6What
Inputs are required to enable this process to
occur?
7Who is the supplier of
each input?
3What are
the outputs from the
process?
2When does the process end?
Boundary
2When does theProcess start?
Boundary
VI-4
![Page 13: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/13.jpg)
131313
Group Exercise - SIPOCINPUTS OUTPUTSPROCESS
VI-4
![Page 14: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/14.jpg)
141414
Create a relationship matrix for the previous SIPOC
Relationship Matrix
*Input/Output relationships can be rated as:
Strong: 9Moderate: 3
Weak: 1Nonexistent: Blank or 0
V-28
![Page 15: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/15.jpg)
151515
Basic Structure – C&E Diagram(Fishbone)
Project Y
Inputs (X’s) Output (Y)
Level 1 Cause
Level 2 Cause
Main CategoryMeasurementsMaterials People
EnvironmentMethods Machines
C = Control Factor (controllable)N = Noise factor (out of our control)X = Experimental variable
C
N
X
N
C
N
X
C
C
By identifying the correct inputs, you can achieve optimal results in the shortest time.
VIII-133
![Page 16: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/16.jpg)
161616
Cause & Effect C/N/X’s
C = those variables which must be held constant and require standard operating procedures to insure consistency. Consider the following examples: the method used to enter information on a billing form, the method used to load material in a milling or drilling process, the autoclave temperature setting.
N = those variables which are noise or uncontrolled variables and cannot be cheaply or easily held constant. Examples are room temperature or humidity.
X = those variables considered to be key process (or experimental) variables to be tested in order to determine what effect each has on the outputs and what their optimal settings should be to achieve customer-desired performance.
VIII-133
![Page 17: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/17.jpg)
171717
METHOD
MOTHERNATUREMEASUREMENT
MANPOWER MACHINE
MATERIAL
Cause and Effect Diagram Objective: Develop a C&E diagram that explains the variability of the launching process. Label as C/N/X.
VIII-13317
![Page 18: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/18.jpg)
181818
In groups Conduct a process FMEA for “shooting the
statapult” Generate Risk Priority Numbers and
develop controls that will minimize risk
FMEA
Product or
ProcessFailure Mode Failure Effects SEV Causes OCC Controls DET RPN Actions Plans PS PO PD prpn
VII-116
![Page 19: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/19.jpg)
191919
SOPObjective: Develop a SOP that accurately defines each controlled step of the improved launching process.
VI-30
![Page 20: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/20.jpg)
202020
LaunchSequence Distance
123456789
10111213141516171819202122232425
Statapult Instructions Launch #2
Every shot will be launched from a pull back angle of 177/65 degrees.
Each person on the team will perform an equitable number of launches (or as close as possible).
"Launching” means pulling back and releasing.
Time between each shot cannot exceed 15 seconds.
Record the distances on the table to the left.
Record the longest distance (Max) and the shortest distance (Min) and compute Range = Max - Min.
Range = ______________
Objective: To fire the statapult and record the distance for each of the launches. The measured distance will be from the back of the launcher to the point where the ball first lands. Record the distances in the order in which they were obtained.
![Page 21: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/21.jpg)
212121
Statapult Launch #2
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
Launch Sequence
Distance
See graphing.pdfVI-19
![Page 22: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/22.jpg)
222222
Concentration Chart
www.duetsblog.com/uploads/image/AT&T.jpg
http://www.qualitytrainingportal.com/resources/problem_solving/problem-solving_tools-concentration_diagrams.htm
VI-46
![Page 23: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/23.jpg)
232323
Measures of Variation
VI-8
![Page 24: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/24.jpg)
242424
Data is collected using samples because the entire population may not be known or it may be too costly to measure.◦ Population is every possible item◦ Sample is a subset of the population
Population vs. Sample
X
µ
Sample
Population
Population
Sample
VII-2
![Page 25: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/25.jpg)
252525
Step #1 Add the data points and divide by the number of data point to determine the mean (average)
Step #2 Subtract the mean from each individual data point and square the result (data point – Mean)2
Step #3 Add together all the squared data points
Step #4 Divide the total of the squared data points by n-1 if a sample, or n if a population (n= number of data points)
Step #5 Calculate the square root of the sum of step #4.
The result is the standard deviation for the process.
Calculating Standard Deviation
VI-8
![Page 26: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/26.jpg)
262626
Launch #1
VI-8
![Page 27: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/27.jpg)
272727
Launch #2
VI-8
![Page 28: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/28.jpg)
282828
Graphical View of Variation and Six Sigma Performance
Each unit of measure is a numerical value on a continuous scale
Size Size Size Size
Pieces vary from each other
Variation common and special causes
But they form a pattern that, if stable, is called a normal distribution
Histogram or
Frequency Distribution
Normal Distribution
VII-31
![Page 29: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/29.jpg)
292929
Normal DistributionThere are three terms used to
describe distributions
3. Location Mean
1. ShapeBell
2. Spread
Standard
Deviation
VII-31
![Page 30: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/30.jpg)
303030
Correlation vs. Causation
![Page 31: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/31.jpg)
313131
Scatter Diagram Example:
Dis
tanc
e
Angle
Angle Distance
VII-16
Y=f(x)
![Page 32: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/32.jpg)
323232
Histogram examplesWhat speculations can you make about the following processes
based on the histograms?
LSL USL 10 9 X 8 X 7 X 6 X 5 X 4 X X 3 X X X 2 X X X X 1 X X X X X
.493 .494 .495 .496 .497 .498 .499 .500 .501 .502 .503 .504 .505 .506 .507
1.
LSL USL 10 9 X 8 X 7 X X X X 6 X X X X 5 X X X X 4 X X X X X X X 3 X X X X X X X X X X 2 X X X X X X X X X X X X X X X 1 X X X X X X X X X X X X X X X
.493 .494 .495 .496 .497 .498 .499 .500 .501 .502 .503 .504 .505 .506 .507
2.
VII-20
![Page 33: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/33.jpg)
333333
Histogram examples
LSL USL 10 9 X 8 X 7 X 6 X 5 X X X 4 X X X 3 X X X 2 X X X X X 1 X X X X X X X
.493 .494 .495 .496 .497 .498 .499 .500 .501 .502 .503 .504 .505 .506 .507
3.
LSL USL 10 X 9 X 8 X 7 X X X 6 X X X X 5 X X X X X 4 X X X X X 3 X X X X X X X 2 X X X X X X X X 1 X X X X X X X X
.493 .494 .495 .496 .497 .498 .499 .500 .501 .502 .503 .504 .505 .506 .507
4.
VII-20
![Page 34: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/34.jpg)
343434
Instructions◦ Refer to Launch #1 and #2 and convert the run
charts shown on these pages to histograms, using 4-inch intervals as the class width.
◦ The student may then choose the 12-inch range (3 consecutive 4-inch intervals) centered around the average to be the specification range.
◦ Draw those spec limits on the histogram and complete the following table:
Computing Cost Of Poor Quality
Launch #1
Launch #2
III-26
![Page 35: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/35.jpg)
353535
Calculate our statistics
The HeightExample
Inches? Inches?
Hey buddy...whatchagot in the case?
Step 1Collect
Data
Heights Dev. from Avgerage.
Total
Xbar(average) »Sigma!!
Let’s practice
Find:
MeanMedianModeRangeSigma -population -sample
5’ = 60”6’ = 72”
![Page 36: Statapult Exercise](https://reader030.vdocuments.us/reader030/viewer/2022033004/5681660a550346895dd94305/html5/thumbnails/36.jpg)
363636
Plot height data and use the statistics
Step 2Create a
Histogram
Xbar =
Scale - (Use 2"increments)
Sigma Area % Height Span Realistic? (Y/N)+/- 1 Sigma+/- 2 Sigma+/- 3 Sigma+/- 6 Sigma
Step 3Add Sigma
Limits
Step 4Analyze