The document outlines a Six Sigma project to address high shorted percentages at a cable manufacturing company. It defines the problem as shorted percentages being over 2% for the past two months instead of the target of 1.3%. The project goals are to decrease the shorted percentage to the target and avoid business losses. Key steps include defining CTQs, collecting data on shorted drums, analyzing potential causes using hypothesis testing and Ishikawa diagrams, and improving and controlling the process.
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Service revamp lean six sigma black belt projectSumit K Jha
Project- Service revamp
Type- Lean Six Sigma Black Belt Project
Outline- To improve the entire process of getting purchase orders, purchasing, manufacturing, warehousing and installation
Tools/Framework- Six Sigma concepts such as SIPOC, fish bone analysis, control charts and hypothesis testing; statistical tools, Microsoft Dynamic AX
Role- Project manager
Outcome- The successful completion of the project yielded in cost savings of INR 1.61 crores
It was really excited to run my First Lean Six Sigma Black Belt Project in my factory . And during the project im really great full to my honorable management . Now im posting this project for the audience of this site .
Lean, Six Sigma, ToC using DMAIC - Measure phase Simon Misiewicz
This presentation guides you through the DMAIC methodology that encompasses Lean, Six Sigma and ToC initiatives. The Measure phase guides you through the detailed process mapping of the SIPOC diagram to Swim Lanes, spaghetti diagrams that focus on time, cost and quality. The presentation guides you though the statistics element of data sampling and to understand the theory of constraints. The presentation also discusses the use of Pareto charts to identify the key issues within a process. – Optimise-GB (Creating Operational Efficiencies)
Service revamp lean six sigma black belt projectSumit K Jha
Project- Service revamp
Type- Lean Six Sigma Black Belt Project
Outline- To improve the entire process of getting purchase orders, purchasing, manufacturing, warehousing and installation
Tools/Framework- Six Sigma concepts such as SIPOC, fish bone analysis, control charts and hypothesis testing; statistical tools, Microsoft Dynamic AX
Role- Project manager
Outcome- The successful completion of the project yielded in cost savings of INR 1.61 crores
It was really excited to run my First Lean Six Sigma Black Belt Project in my factory . And during the project im really great full to my honorable management . Now im posting this project for the audience of this site .
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Learn about the DMAIC method that is used in Six Sigma. This Overview will walk you through Define, Measure, Analyze, Improve and Control in under 5 minutes. Learn more about the DMAIC method and other six sigma techniques on Lean Strategies International LLC's website: www.leanstrategiesinternational.com
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Initially the overall procurement process was the focus, but when that proved to be too big, she scoped it down to a more manageable project that can now be the basis for an expanded improvement. Her improvement was meaningful, but a bigger victory was in bringing critical and logical thinking into an environment often impacted by less scientific influences!
DMAIC is a methodology for improving existing processes. DMAIC stands for Define, Measure, Analyze, Improve, and Control.
https://goleansixsigma.com/lean-six-sigma-step-by-step/
six sigma DMAIC approach for reducing quality defects of camshaft binding pro...Niranjana B
Data collection for 11 months revealed that 26% of the defects are due to improper camshaft binding. The six sigma approach involves DMAIC approach with statistical tools involved in each stage. The main root are identified and improvements are implemented. The quality is improved by reducing the number of defects
Achieving Built-in-Quality: Actions and ImplementationApril Bright
Built-In-Quality is achieved through the use and implementation of lean manufacturing principles. Dr. Joseph M. Juran, a pioneer in modern quality management principles, created the Juran Trilogy. The Juran Trilogy focuses on long-term quality improvement through quality planning, quality control and continuous improvement. This presentation will focus on how effectively applying the Juran Trilogy can help an organization achieve the objective of Built-In-Quality.
Learn about the DMAIC method that is used in Six Sigma. This Overview will walk you through Define, Measure, Analyze, Improve and Control in under 5 minutes. Learn more about the DMAIC method and other six sigma techniques on Lean Strategies International LLC's website: www.leanstrategiesinternational.com
Project Storyboard: Reducing Cycle Time for Bid Tab Creationby 33%GoLeanSixSigma.com
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Initially the overall procurement process was the focus, but when that proved to be too big, she scoped it down to a more manageable project that can now be the basis for an expanded improvement. Her improvement was meaningful, but a bigger victory was in bringing critical and logical thinking into an environment often impacted by less scientific influences!
DMAIC is a methodology for improving existing processes. DMAIC stands for Define, Measure, Analyze, Improve, and Control.
https://goleansixsigma.com/lean-six-sigma-step-by-step/
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Autora: Isabel Castro.
Selecció de textos: Fina Masdéu i Dolors Requena.
Fotografies: Jesús Monterde
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Intergen Think! Seminar: Assesing your fit for ERP cloudIntergen
Organisations that embrace cloud computing can experience significant cost reductions when it comes to the on-going operation of their solutions.
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Is your organisation ready to embrace ERP in the cloud? What are the key business factors you should be considering? What should we, as New Zealand-based organisations, be looking for? Does an on-premise deployment make more sense?
This Think! Seminar explored the value proposition of ERP in the cloud, incorporating the latest information from Microsoft Convergence, Microsoft’s global conference for users of Microsoft Dynamics solutions.
Recorded webinar: http://slidesha.re/LRBvC4
Subscribe: http://www.ksmartin.com/subscribe
To purchase the book: http://bit.ly/MBPMbk
Metrics-Based Process Mapping is a highly effective tool for improving office, service, and knowledge work processes.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
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June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
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Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
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The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
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Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
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The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
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2. Road- Map of Project
Define
•Identify Customer and project CTQ
•Develop Team Charter
•Develop process Map
•Get approval for Project
Measure
•Select CTQ Characteristic
•Data Collection Plan (DCP)
•Conduct MSA
•Conduct Basic Data Analysis ( To see frequency of Defect)
Analyze
•Identify Potential X’s through statistical tools.
•Conduct Statistical tests to see is relationship exists between X and Y
Improve
•Screen for Vital X’s effecting Y
•Discover Variable Relationship
•Establish Operating Tolerance
Control
•Define Process capability
•Establish Control plan
Define
3. Define Project Charter
Business Case
Jeddah Cable company manufactures wires and cable products used for construction , energy ,signal process
,transportation, communication and oil and gas sectors, present directly in 10 distribution locations from Malaysia to U.K
with direct offices in every major city in the GCC. From the months of august and September 2012 , there is an
increase in the shorted % of drums , the shorted % for every month should be 1.3% but from past 2 months its more
than 2% which creates lot of scrap and also re-work which is a business loss for the company.
Problem Statement
Shorted Reports for the months of August and September 2012 have been reviewed, the shorted % during these 2
months is 2% which is very high the shorted % should be 1.3% if this is not achieved ,there is more of scrap and re-
work which again is a waste of time and money .Moreover the customers are also dissatisfied because of the delayed
delivery dates. This is creating business loss and needs to be addressed immediately.
Goal Statement
The main aim of this project is to decrease the shorted from 2% to 1.3% to avoid business loss and re-work time
with increased performance.
4. Project Charter…
In scope
Quality Department, Production Department.
Define
Out scope
New Hires From the month of October
Project Plan
Project Team
Sponsor – Hilal
Champion Meer vajithulla
MBB – Dheerendra S Negi
Mentor – Dheerendra S Negi
BB – Shaik Noor Ahmed
Target Date Actual Date
Start Date 1 Oct’12 1 oct’12
Define 7 Oct ‘12 7 Oct ‘12
Measure 14 Oct ‘12 14 Oct ‘12
Analyze 21 Oct ‘12 21 Oct ‘12
Improve 28 Oct ‘12 28 Oct ‘12
Control 5 nov’12 5 nov’12
5. Define Voice Of Customer (VOC)
Customer VOC CTQ
Quality manager Shorted % should be less
than 1.3% for all the months
so that quality target at the
end of the year can be
achieved.
Shorted % should be less
than 1.3% every month.
Production manager To avoid re-work and
wastage of scrap the shorted
% should be maintained
Shorted % should be less
than 1.3% every month
Customer service manager To avoid delayed delivery of
the cables and to increase
the customer satisfaction we
should avoid shorted cables.
. Shorted % should be less
than 1.3% every month
6. Define ARMI
Key
Stakeholders
ARMI Worksheet
Define Measure Analyze Improve Control
Hilal I I I I I
Kareem I I I I I
Sharif I & A I & A I & A I & A I & A
ramana I & M I & M I & M I & M I & M
Shaik Noor
Ahmed
R & M R & M R & M R & M R & M
Communication Plan
Information Or Activity Target Audience Information Channel Who When
Project Status Leadership E-mails Hilal BI-Weekly
Tollgate Review BB,LBB,MBB & Champion E-mails or Meetings Hilal As per Project Plan
Project Deliverables or Activities Project Team Emails, Meetings Hilal Weekly
A – Approval of teams decision outside their charter / authorities, i.e. Sponsor
R – Resource of the team, the one whose expertise may be needed on a irregular / ad hoc basis
M – Member of the team, with the authority & periphery of the charter
I – Interested party, one who needs to kept informed on the findings & directions, if in the later
phase found to be as a worthy outcome
d
Define
7. CTQ TreeDefine
Maintaining
shorted % as
1.3% every
month
CTQs
Improving the quality of the
cable by avoiding shorted .
(Project Y)
Decreasing the scrap during re-
work
Meeting the targets during the
year end
Avoiding re-work and machine
hours
(Project Y)
d
Define
8. SIPOC
Process
Raw material
received to the
machine
operator loads the
machine with the raw
material
operator starts the
machine
process is done
and the insulation is
done on the cable
after the quantity of
Xlpe is consumed
completely the
operator slows down
the machine
Operator stops the
machine
Outputs
o received material
o material is loaded
o Machine started
o Processing is done
o Machine is slowed
down
o Machine is stopped
Customers
Finished cable is
ready
Suppliers
•Sabic.
Inputs
Xlpe
Labour
Machiene
Row material
d
DefineDefine
9. Data Collection Plan m
MEASURE
What question do you want to answer?
What is the current shorted % that we have
KPI Operational Definition Defect Def
Performance
Std
Specification Limit
Opportunity
LSL USL
shorted % of every
month should be
1.3%
Cable is shorted whenever
ther e is high voltage test
done ,this should not happen
the total shorted
% should not be
more than 1.3%
<1.3% NA 1.3 Monthly %
How would you gauge the current AHT?
Process wise & Team wise current AHT of Reach out customer
care
KPI
Data
Type
Data Items
Needed
Unit
Plan to collect Data
Plan to
sample
What Database
or Container
will be used to
record this
data?
Is this an
existing
database
or new?
If new,
When will
the
database
be ready
for use?
When is
the
planned
start date
for data
collection?
Total number of
drums produced
Continuo
us
Total drums
produced
No of
drums
Excel sheet Existing NA 14-Nov-12
Record the
total
number of
shorted
drums.
Define
10. Validate Measurement
System Gage R&R ANOVA Method
Gage R&R
%Contribution
Source VarComp (of VarComp)
Total Gage R&R 5.6 0.01
Repeatability 3.9 0.01
Reproducibility 1.6 0.00
Operater_1 0.3 0.00
Operater_1*Agent Name_1 1.3 0.00
Part-To-Part 42843.7 99.99
Total Variation 42849.3 100.00
Process tolerance = 320
Study Var %Study Var %Tolerance
Source StdDev (SD) (6 * SD) (%SV) (SV/Toler)
Total Gage R&R 2.361 14.17 1.14 4.43
Repeatability 1.981 11.89 0.96 3.71
Reproducibility 1.285 7.71 0.62 2.41
Operater_1 0.577 3.46 0.28 1.08
Operater_1*Agent Name_1 1.147 6.88 0.55 2.15
Part-To-Part 206.987 1241.92 99.99 388.10
Total Variation 207.001 1242.00 100.00 388.13
Number of Distinct Categories = 123
The above test was conducted with 2 using 3 samples.
Gage failed even 2nd time as not meeting criteria of below mentioned:-
% Contribution of total Gage R&R is less than Part to Part
% Tolerance of Gage R&R to that of the total variation is less than 10%
No. of distinct categories is more than 4
Measure
11. Measure: Normality
11
Normality: P value >
0.005
Shape: Normal
Measure of central
tendency :Data is
normal therefore we will
consider it as Mean-
83%
Since the P value for Anderson Darling test is > 0.05, therefore this indicates that the data is Normal
The Minimum Internal Quality has been reported as 56% & Maximum has been reported as 100%. The
Standard deviation is 7, indicating that there is more variation in the process
The aim of the project is to improve the avg. daily Quality from 84% to 98% or above
Measure
12. Measure Process Stability
According to P Value, we can see, there is no Cluster, Mixture, Oscillation & Trend.
This data is stable.
The outlier have been note down & would be investigating & to find out for any special reason
13. Measure Process Capability
Based on Capability Sixpack:-
CPK (-0.59) it shows, our process is not doing as per the client expectation
Process is not capable to perform as per the client expectation, therefore
required a significant improvement.
14. Cause & Effect Diagram (Ishikawa)
Shorted of drums happen mainly due to measurements,
material,personnel,environment ,methods and machines
Analyze
15. S.
N.
Project Potential
Causes
Operational Definition Data
Type
Test to be Performed
1
Shorted
%
Training
duration
Operators and Q.C inspectors should be trained on the
shorted drums.
Continuou
s
Mamm whitney
2 Shorted
% packing The drums should be solidly packed to avoid shorted
Continuou
s
Correlation Regression
3 Shorted
% traverse
A cable should be in a good traverse so that it does not
comes in contact with the drum flange
Continuou
s Mann-whitney
4 Shorted
%
Machine
loose
tension
Machine tension should be high as lots of shorted
happen due to cable is in the take up process
Continuou
s
Mann –whitney
5
Shorted
% Xlpe
Xlpe should be heated before it goes for the assembly
process
Continous Correlation Regression
6 Shorted
% Conductor
s overlap
The conductors during assembly process should not
overlap amongst others to avoid shorted
continous Correlation regression
Analyze
16. Hypothesis TestAnalyze
Shorted % Vs Supervisor
Mood median test for Collection
Chi-Square = 6.78 DF = 5 P = 0.238
Team Individual 95.0% CIs
Leader N<= N> Median Q3-Q1 -----+---------+---------+----
-----+-
Anish 27 30 8884 3762 (----*----------)
Biky 22 36 9434 3897 (-----*------)
Gaurav 15 17 9009 4486 (--------------*--------------)
Mohit 35 24 8263 4812 (-----*--------)
Nitin 27 20 8614 3761 (----------*------)
Pankaj 26 25 8597 3125 (------*--------)
-----+---------+---------+---------+-
8000 9000 10000 11000
Overall median = 8839
Greater than
0.05
Above Hypothesis test shows shorted and Team leaders are independent of each other so we
conclude Shorted Has No Impact on the process
17. Hypothesis TestAnalyze
Shorted Quality Score versus Trainer
Mood Median Test: Quality Score versus Trainer
Mood median test for Quality Score
Chi-Square = 219.72 DF = 7 P = 0.000
Individual 95.0% CIs
Trainer N<= N> Median Q3-Q1 ---+---------+---------+----
-----+---
Gagan 275 181 0.7900 0.0700 *
Kishore 153 291 0.8400 0.0900 *
Lalit 243 154 0.7900 0.0700 *
Praveen 242 147 0.7900 0.0700 *
Ruhani 151 288 0.8400 0.0900 (------------*
Sudesh 152 292 0.8400 0.0900 *
Varun 218 146 0.7900 0.0700 *
Vinay 257 181 0.7900 0.0700 *
---+---------+---------+---------+---
0.795 0.810 0.825 0.840
Overall median = 0.7900
Greater than
0.05
Above Hypothesis test shows shorted and Shifts are independent of each other so we conclude
Shift Has No Impact on the collection of the process
18. Hypothesis TestAnalyze
Shorted % Vs Experience [YC XC]
Regression Analysis: Quality Score versus
Experience
The regression equation is
Quality Score = 0.7099 + 0.005302 Experience
S = 0.0533682 R-Sq = 25.6% R-Sq(adj) =
25.6%
Analysis of Variance
Source DF SS MS F P
Regression 1 3.3028 3.30277 1159.61
0.000
Error 3369 9.5955 0.00285
Total 3370 12.8982
19. Hypothesis TestAnalyze
Age & Quality Score of shorted
Correlations: Quality Score, Age
Pearson correlation of Quality Score and Age = -0.029
P-Value = 0.094
The age and quality scores are plotted and there is no impact.
20. Analyze Box Plot for Quality
After plotting the box plot we found out that there is huge variation in shorted cables.
21. Hypothesis TestAnalyze
shorted Vs Utilization
General Linear Model: Collection versus Shifts
Factor Type Levels
Utilization fixed 246
Source DF Seq SS Adj SS Adj MS F P
Utilization 245 2394882512 2394882512 9775031 1.13
0.292
Error 58 501128672 501128672 8640150
Total 303 2896011184
S = 2939.41 R-Sq = 82.70% R-Sq(adj) = 9.60%
Greater than
0.05
Above Hypothesis test shows shorted and Utilization are independent of each other so we
conclude Utilization Has No Impact on the shorted of the process
22. Hypothesis TestAnalyze
shorted Vs Accounts Worked
General Linear Model: Collection versus Work
Factor Type Levels
Work fixed 23
Analysis of Variance for Collection, using Adjusted SS for Tests
Source DF Seq SS Adj SS Adj MS F P
Work 229 2420959614 2420959614 10571876 1.65 0.32
Error 74 475051570 475051570 6419616
Total 303 2896011184
S = 2533.70 R-Sq = 13.60% R-Sq(adj) = 32.83%
Greater than
0.05
Above Hypothesis test shows shorted and Accounts worked are not dependent of each other so
we conclude Accounts worked do not have significant Impact on the shorted of the process
23. Hypothesis TestAnalyze
shorted Vs Average Payment Size (APS)
Correlations: Collection, Average Payment Size
Pearson correlation of Collection and Average Payment Size = -0.003
P-Value = 0.961
Regression Analysis: Collection versus Average Payment Size
The regression equation is
Collection = 9194 - 0.14 Average Payment Size
Predictor Coef SE Coef T P
Constant 9193.5 502.5 18.30 0.000
Average Payment Size -0.144 2.937 -0.05 0.961
S = 3096.67 R-Sq = 0.0% R-Sq(adj) = 0.0%
Analysis of Variance
Source DF SS MS F P
Regression 1 23115 23115 0.00 0.961
Residual Error 302 2895988068 9589364
Total 303 2896011184
Above Hypothesis test shows shorted and APS are independent of each other so we conclude
APS do not have significant Impact on the shorted of the process
P- Value for
both correlation
and
Regression is
greater than
0.05
24. Hypothesis TestAnalyze
shorted Vs Gender
Mood median test for Collection
Chi-Square = 1.44 DF = 1 P = 0.230
Individual 95.0% CIs
Gender N<= N> Median Q3-Q1 -------+---------+---------+-------
--
Female 23 31 9240 3995 (------*--------------------)
Male 129 121 8686 3863 (-----*----)
-------+---------+---------+---------
8800 9600 10400
Overall median = 8839
Greater than
0.05
Above Hypothesis test shows shorted and Gender are independent of each other so we
conclude that gender do not have significant Impact on the shorted of the process
25. Hypothesis TestAnalyze
shorted Vs Marital Status
Mood median test for Collection
Chi-Square = 0.37 DF = 1 P = 0.543
Marital Individual 95.0% CIs
Status N<= N> Median Q3-Q1 ----+---------+---------+---------
+--
Married 48 53 8912 3338 (----------------*----------------)
Unmarried 104 99 8686 4173 (----------*----------)
----+---------+---------+---------+--
8400 8800 9200 9600
Overall median = 8839
Greater than
0.05
Above Hypothesis test shows shorted and Marital Statusare independent of each other so we
conclude that gender do not have significant Impact on the shorted of the process
26. Hypothesis TestAnalyze
shorted Vs Education
Mood median test for Collection
Chi-Square = 0.03 DF = 2 P = 0.987
Individual 95.0% CIs
Education N<= N> Median Q3-Q1 -------+---------+---------+--
-------
graduate 114 113 8820 3846 (-------*------)
postgraduate 15 15 8656 3308 (----------*--------------------)
Undegraduate 23 24 8866 3722 (-----------*----------------)
-------+---------+---------+---------
8400 9100 9800
Overall median = 8839
Greater than
0.05
Above Hypothesis test shows shorted and Education are independent of each other so we
conclude that Education do not have significant Impact on the shorted of the process
27. Hypothesis TestAnalyze
shorted Vs Experience
Mood median test for Collection
Chi-Square = 3.26 DF = 3 P = 0.353
Individual 95.0% CIs
Experience N<= N> Median Q3-Q1 --------+---------+---------+--
------
0 to 1 43 43 8827 3847 (--------*--------)
1 to 2 46 56 9222 4649 (---------------*------------)
2 to 3 49 36 8259 3654 (-----*----------)
3 and above 14 17 9165 3537 (--------------*---------------)
--------+---------+---------+--------
8400 9100 9800
Overall median = 8839
Greater than
0.05
Above Hypothesis test shows shorted and Experience are independent of each other so we
conclude that Experience do not have significant Impact on the shorted of the process
28. Hypothesis TestAnalyze
shorted Vs Experience Type
Mood median test for Collection
Chi-Square = 129.87 DF = 2 P = 0.000
Previous Individual 95.0% CIs
experience N<= N> Median Q3-Q1 -+---------+---------+--------
-+-----
C 53 85 9275 3473 (*-)
CS 13 67 11174 3222 (--*---)
obs 86 0 6125 2419 (-*-)
-+---------+---------+---------+-----
6000 8000 10000 12000
Overall median = 8839
Smaller than
0.05
Above Hypothesis test shows shorted and Experience Type are dependent of each other so we
conclude that Experience type do have significant Impact on the shorted of the process
29. Hypothesis TestAnalyze
shorted Vs Tenure
Mood Median Test: Collection versus Tenure
Mood median test for Collection
Chi-Square = 52.39 DF = 2 P = 0.000
Individual 95.0% CIs
Tenure N<= N> Median Q3-Q1 ------+---------+---------+----
-----+
0 to 1 years 111 48 7747 3493 (--*---)
2-3 years 25 61 9675 3369 (----*--------)
3 yrs + 16 43 10248 3908 (-----*-------)
------+---------+---------+---------+
8000 9000 10000 11000
Overall median = 8839
Smaller than
0.05
Above Hypothesis test shows shorted and Tenure are dependent of each other so we conclude
that Tenure do have significant Impact on the shorted of the process
30. Box Plot Demonstration of shorted
and trainer
Analyze
After plotting boxplot for trainers we found out that sudesh,ruhani,and kishore have huge
variation compared to others.
31. S No. Vital Cause Data Type Test performed P- Value
1 supervisors discrete Moods median test 0.238
2 Age of operator discrete
Pearson
correalation
0094
3 experience discrete Moods Median 0.006
4 education discrete Moods median 0.987
4 Marital status discrete Moods median 0
Results of validation of potential X’s
impacting AHT
Analyze
32. Improve Vital X’s effecting our Y (collection)
Low Cost
High Cost
HighImpact
LowImpact
•Tenure
•Experience Background
•Team Leader
•Process Knowledge
•Utilization
•Accounts Worked
•RPC
•APS
•Gender
•Marital Status
•Education
Training of operators- Training
of operators can be provided as it does
not cost anything , the managers and
engineers can easily train them .
•Shift
•Experience
Machine issues-
machines can be costly
because it involves lots of
money to change them.
36. BOM Comparison Post ImprovementImprove
Variable N N* Mean SE Mean StDev Minimum Q1 Median
Old BOM 304 0 3858.8 75.8 1322.3 342.9 2894.8 3729.5 4684.7
New BOM 304 0 4804.4 89.8 1565.9 422.3 3648.6 4692.6 5832.8
This Box-Plot
Demonstration clearly
shows Our new BOM
performance is
significantly better than
old BOM
37. Shorted Comparison Post
Improvement
Improve
Mann-Whitney Test and CI: Old Collection,
New Collection
N Median
Old Collection 304 8839
New Collection 304 12464
Point estimate for ETA1-ETA2 is -3994
95.0 Percent CI for ETA1-ETA2 is (-4853,-3191)
W = 69925.0
Test of ETA1 = ETA2 vs ETA1 < ETA2 is significant at 0.0000
Mann Whitney test has shown that there has been significant improvement in the median of the
new shorted
P-Value is
less than 0.05
38. shorted Comparison Post
Improvement
Improve
Descriptive Statistics: Old shorted , New shorted
Variable Mean TrMean StDev Minimum Q1 Median Q3 Maximum
Old shorted 9170 9114 3092 745 7301 8839 11130 19083
New shorted 16689 15250 12032 1183 9283 12464 19333 84275
This Box-Plot
Demonstration clearly
shows Our new shorted
performance is
significantly better than
old shorted
39. Control Chart of Training post
Improvement
Control
This Control chart shows our TOS process is under control with improvement i.e, we have sustained this
improvement now.
40. Control Chart of BOM post
Improvement
Improve
Above Control Chart shows our BOM process is under statistical control. That means we have
sustained our improvement in BOM
41. Shorted Comparison Post
Improvement
Improve
This Control chart clearly shows that our shorted process is working under control. That is we have
sustained the improvement that we achieved in our collection
42. Mean has been shifted from 682 to 519 sec. It means significant improvement has been done. 42
I
Improve
43. Shorted decreasedCONTROL
We have statistically proved that our shorted has
decrease and our process in under statistical Control