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Statistical Tools For Problem Solving_ Dr. A. Amsavel

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Problem Solving Steps Statistical Tools Run Chart Pareto Chart Cause and Effect diagram- Fishbone Diagram Brainstorming Histograms or Stem-and-Leaf Plot Control Chart Process Capability, – PowerPoint PPT presentation

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Title: Statistical Tools For Problem Solving_ Dr. A. Amsavel


1
  • STATISTICAL TOOLS FOR PROBLEM SOLVING
  • Dr. A. Amsavel, M.Sc., B.Ed., Ph.D.

2
Overview
  • Problem Solving Steps
  • Statistical Tools
  • Run Chart
  • Pareto Chart
  • Cause and Effect diagram- Fishbone Diagram
  • Brainstorming
  • Histograms or Stem-and-Leaf Plot
  • Control Chart
  • Process Capability, etc

3
Problem solving
  • Problem solving is a strategy that employs the
    scientific method in searching for information,
    arriving at decisions based on facts, prior
    knowledge and reasoning.
  • "Statistics is the branch of scientific method
    which deals with the data obtained by counting or
    measuring the properties of populations of
    natural phenomena.

4
Want to solve the problem !Think Differently
5
Problem Solving Methodology
  • A systematic approach to defining the problem
    (uncertainty, perplexity or difficulty) and
    creating a vast number of possible solutions
    without judging these solutions.
  • The act of narrowing down the possibilities,
    choosing a course of action, and determining the
    actions potential consequences.
  • Problem solving is a cognitive processing
    directed at achieving a goal where no solution
    method is obvious to the problem solver.

6
PDCA Wheel
7
5 Step approach to Problem Solving
  • Define the Problem clearly.
  • Diagnose the situation, so that your focus is on
    the problem, not on its symptoms.
  • Determine the Causes.
  • Evaluate the Options for Solutions
  • Generate Ideas / alternative solutions.
  • Select the Best Solution.
  • Take Action.
  • Implement and follow up on the solution.

8
5 Step approach to Problem Solving
  1. Ask, "What is going on?.  Define the problem and
    Impact
  2. Ask, "What is success?" . Define what the
    solution must do, what resources it needs, its
    scope, and the values it must uphold.
  3. Ask, "What is the question?" . Generate a long
    list of questions that, when answered, will solve
    the problem
  4. Forge the solution Evaluate the ideas with
    potential based on the criteria from step 2. Pick
    a solution.
  5. Align resources Identify people and resources to
    execute the solution.

9
How many Squares do you see.




10
If you were to come up with a different number of
Squeres than another person, does this mean you
are wrong?!
11
Being Open to Other Perspectives
  • There is no Right or Wrong answer there are
    only individual perspectives.
  • When you know that there are always more ways to
    see the same situation!, then every persons
    perspective is important to consider.

12
Problem Solving Action Cycle
An Action cycle provide the method for
controlling the problem Solving process

MEASURE
No measurement without Recording
No action without measurement
RECORD
ACT
ANALYSE
No Analyssis without Record
No Anaysis without Action
13
Statistical Process Control (SPC) Statistical
Quality Control (SQC)
  • What causes defects?
  • How are defectives made?
  • Can we make okay?
  • Are we making it okay?
  • Is process consistent?
  • Can we do right at first?
  • Can we improve?
  • Can we minimize the wastes?
  • Use SPC SQC

14
Why We Need Statistical Analysis?
  • General causes of troubles/problems arises from
    wrong knowledge and or in-correct operation.
  • To distinguish, start fact-finding process.
  • How to eliminate the problem or Rejection?
  • Identify
  • Quantify
  • Eliminate
  • Prevent it re-occurrence

15
Application
  • The excessive consumption of energy or raw
    materials
  • Problem in the process itself (low yield Quality
    defect)
  • Problems arising, but not measured identified
    in the particular stage/step,
  • Non-confirming of product/ rejection
  • SPC/SQC used for
  • Cost savings
  • Higher productivity
  • Better product quality
  • Lower environmental impact.

16
A Systematic Approach to Process Improvement
  • What are wastes and its cost?
  • Where is waste generating ?
  • What are the possible causes?
  • Is the process consistent
  • Is there any drift or failure in the process?
  • How can process be improved?
  • How can be maintained and controlled?

17
Type of Tools
  • Run chart
  • Pareto chart
  • Flow chart
  • Cause and Effect diagram- Fish bone
  • Histograms or Stem-and-Leaf Plot
  • Control Chart
  • Scatter diagram
  • Process capability, etc.

18
Run Charts
  • A Run chart shows What happens over a time
    /period
  • Visualize the unexpected SHIFT, TREND, PATTERN
  • Construction of Run chart
  • Plot of Variable Vs. Time or Sequence
  • Choose Critical elements (key variable) in the
    process
  • Collect the data
  • Plot a graph Time or sequence in X axis and
    variable in Y axis.

19

Typical Run Chart
20
Run Charts- Purpose
  • To monitor process performance.
  • Process monitoring against Time or Sequence
  • Reaction or Drying progress Vs Batche No
    (Temp/converton/Time
  • Output /Yield Vs Batch No
  • Quality parameters Vs Batch No.
  • Quantity Vs Distillation Time
  • In determining when a change to a process might
    have occurred.

21
Run Charts
  • Information /Recording
  • What is being measured, when it was measured and
    other information
  • Update the chart frequently
  • To indicate quality and productivity of an
    important process
  • Utilization of Run Chart
  • To monitor the on-going performance
  • To monitor the performance of process over time /
    sequence to detect trends, shift or cycle.
  • Investigate the reason and eliminate the defect
    or cause.

22
Pareto Principle
  • The Pareto principle (also known as the 80-20
    rule) states that, for many events, 80 of the
    effects come from 20 of the causes.
  • Business management thinker Joseph M Juran
    suggested the principle and named it after
    Italian economist Vilfredo Pareto , who observed
    that 80 of income in Italy went to 20 of the
    population.
  • 80 of problems usually Stem from 20 of the
    causes.

23
Pareto Chart
  • This is a simple bar graph ranking in order of
    importance the causes, Sources, types or reasons
    for problems / opportunities.
  • It helps to identity the problems that affect
    greatest potential for improvement.
  • Choose the unit of measures and critical elements
  • Collect data for the problems
  • Compare relative cost of each problem category
  • Arrange in descending order

24
Typical Pareto Chart
Eg Controller failure Analysis Down time Vs
Failures Reasons
Attributes for longer down time will be consider
as priority
25
Typical Pareto Chart
26
Pareto Chart
  • Utilize Setting Priorities for Action
  • Pickup an Important areas of waste /
    opportunities and decide how to measure the
    various contributors.
  • Complaint Nature Vs. Year
  • Contribution Vs. Product
  • Non-conformity Vs Year
  • Cost of failure Vs product

27
Cause and Effect /Fishbone Diagram
  • It is also called as Ishikawa Diagram
  • Dr. Kaoru Ishikawa-invented the fishbone diagram.
  • The fishbone diagram is an analysis tool that
    provides a systematic way of looking at effects
    and the causes that create or contribute to those
    effects.
  • The design of the diagram looks much like the
    skeleton of a fish.
  • A team which possess knowledge on this

28
Cause and Effect /Fishbone Diagram
  • Constriction of FB
  • Establish a team which possess knowledge on this
  • Write the Problem Statement at Head of a Fish
    bone.
  • 6M or 5ME As Main Branch Manpower, Machines,
    Materials, Methods, Measures, Milieu /
    Environment.
  • Identify the main categories of possible causes
  • Add the sub-branch/factors in the diagram until
    to get useful information.
  • Place these at ends of branches emanating from
    the back bone.

29
Cause and Effect /Fishbone Diagram
  • Brainstorm all possible causes and place these in
    the suitable area of the diagram.
  • Use checklist /questions to support brainstorming
  • Do not discourage the members ideas
  • Analyze the results of the fishbone after
    obtained adequate detail to identify most likely
    causes.
  • List most likely causes in priority order. First
    item being the cause or most probable cause.
  • Typical Fishbone diagram....

30
Typical Fishbone Diagram
31
Typical Fishbone Diagram
32
Example of Fish Bone Questions
  • Measurement
  • Is process performed as per established
    parameters?
  • Are all measurement /entries / data correct?
  • Calculations correct and verified?
  • Are measuring devices appropriate, qualified
    calibrated?
  • Do previous inspection or maintenance results
    indicate potential problems?
  • Is quantity of input and output correct. Is
    quality suitable
  • Is there any previous atypical results or
    trending history ie OOT
  • Recent documentation history?

33
Example of Fish Bone Questions
  • Method / Process
  • Is the process validated?
  • Is the process operating within its validated
    parameters?
  • Any deviations from standard operating
    procedures?
  • Is the right procedure used?
  • Is the procedure accurate / clear?
  • Samples pulled at appropriate steps?
  • Any sampling issues?
  • Were processing steps properly verified?

34
Example of Fish Bone Questions
  • Machine/Equipment
  • Has equipment been recently replaced or repaired?
  • Is qualified and suitable assessed
  • It is within calibration?
  • Is preventative maintenance completed?
  • Maintenance records reviewed?
  • Are any equipment cleanliness issues?
  • Equipment capacity or availability an issue?
  • Is equipment being used for its intended purpose?

35
Example of Fish Bone Questions
  • Materials
  • Are material / components tested approved ?
  • Is properly released and issued ?
  • Are materials charged correct quantity in
    sequence?
  • Material properly stored temperature /
    humidity?
  • Is within expiration dating?
  • Is properly labeled segregated adequately?
  • Is it from new source / vendor?
  • Material sensitive/ protected

36
Brainstorming
  • Brainstorming is a technique to generate as many
    ideas with team /group.
  • To identify problems, analyze causes, select
    alternative solutions, do strategic planning,
    generate ideas for change or Improvements

37
Conducting Brainstorming
  • Explain the objective, Problems, Causes,
    generate ideas.
  • Explain the brainstorming technique
  • The idea of brainstorming is to produce as many
    innovative ideas as possible.
  • looking for a lot of ideas, thoughts to flow
    freely.
  • There is no right or wrong answer.
  • Silent reflection
  • Participants to think about the proposed
    objective or topic for a few minutes.

38
Dos and Dont in Brainstorming
  • When we brainstorm, any idea is a good idea.
  • Dont judge or criticize.
  • Build off of each others ideas.
  • A really good solution can come from a wild and
    crazy idea.
  • Dont use this step as a time to become a bully,
    like taking control or pushing your solution.
  • Be sincere, listen and take every idea seriously.

39
Brainstorming
  • Brainstorm in a team
  • Call out their ideas
  • Write them on a flip chart in the order
  • Write down the ideas and get clarity if required
  • Once the list is finished, discuss it with the
    group to
  • Clarify the meaning of some ideas
  • Combine similar ideas that are worded in
    different ways
  • Eliminate those ideas which are not related
  • Do all this by group consensus. At the end reduce
    the list to major ideas of the group

40
Histogram
  • A Histogram is a Graphical Display of tabulated
    Frequencies.
  • It is a picture of the variation in a process or
    a product.
  • It shows the capability of process and helps us
    to understand the below
  • Analyze what is happening.
  • Shows the spread of variation
  • Average (center) and dispersion
  • Range Lowest and highest

41
Histogram
  • Construction of Histograms
  • First decide on the process to be measured
  • Collect the data as required
  • Make a check sheet
  • Calculate the range and average
  • Prepare frequency table (Measurement at interval
    frequency)
  • Draw a bar chart (X-Class width Y Frequency)
  • Connect the center point and draw line

42
Typical Histogram
43
Types of Histograms
44
Histogram
  • Interpretation of Histograms
  • Check the shape (symmetrical, cliff like, either
    side, skewed)
  • Check for normal distribution
  • Compare the range with specification
  • Check for improvement
  • Prepare action plan with target
  • Implement the planned action
  • Verify the improvement in the process

45
Control Chart
  • Control Chart was developed by Dr. Walter A.
    Shewhart in 1920, it is widely used to monitor
    process control
  • It graphically depicts the average value and the
    upper and lower control limits (UCL LCL) of a
    process.
  • A control chart is a moving picture of the
    variation in a process. This can be used to
    identify the drift or variability and analyse,
    stabilize, control and improve the process.
  • It provides the current status, capabilities,
    variation, etc.
  • This can be used to reduce scrap and rework, then
    productivity increases, cost decreases, and
    production capacity

46
Control Chart
  • Preparing Control Charts
  • Decide what factor to be studied
  • Measure the value
  • Calculate X or R and standard deviation.
  • Use 25 or more points
  • Plot immediately to discover the problems
  • Compute a new average after making process change
  • For any out of control point on the control
    chart, record the reason for it and the action
    taken.

47
Control Chart
48
Control Chart
  • Interpretation from Control Chart
  • A process must be stable before you can use a
    control chart effectively for improvement.
  • Use control chart to help track reason for
    special cause and any significant change.
  • Utilization of Control Chart
  • Monitor the performance of process over time /
    sequence to detect trends, shift or cycle.
  • Investigate the reason and eliminate by applying
    corrective action.
  • Compare variables before and after improvement

49
Control Chart
  • In Control Process Process average and standard
    deviation are known and predictable, stable,
    consistent and unchanging
  • Out of Control Process ( OOT or Alert level)
    Process average and standard deviation changing,
    unstable and inconsistent.
  • Six points consecutive points upward or downward
    (Figure1)
  • Two out of three points in a row in Zone A (µ s
    ) (Figure-2)
  • Four out of five points in a row in Zone B (µ 2
    s) or beyond A (Figure-2)
  • Nine points in a row on one side of the center
    line (Figure-3)
  • Fourteen points in a row alternate up and down
    (Figure-3)

50
Out of Trend
Figure-1
Figure-3
Figure-2
51
Process Capability
  • Normal Distribution
  • µ s 68.26
  • µ 2s 95.44
  • µ 3s 99.73
  • µ is mean value s is standard deviation
  • The capability of the process to meet the
    specifications determined by stability of the
    process, the range of variation and the process
    aim point

52
Normal distribution
Histogram follows NORMAL DISTRIBUTION Process
meets the Specification, consistent and capable
53
Process Capability Index
  • Process Capability Index Calculation
  • Cpk (SU SL)/ 6 s (s- Standard deviation,
  • If Specification is one sided
  • Cpk (SU X)/ 3 s
  • Cpk (X - SL)/ 3 s

SU- Upper spec limit SL- Lower spec limit X- Base
value of one side (s- Standard deviation,
CPk Value Process Capability
1 1.33 Cpk Satisfiable enough
2 1.00 Cpk lt 1.33 Adequate
3 Cpk lt 1.00 Inadequate
54
Process Capability (Cpk)
  • Assumption- Chemical process-A give Yield
    range100 -120kg, Standard deviation 3.4 and
    mean is 12kg. Calculate the process capability
  • 20
  • Cp -------
  • 63.4
  • Cp 0.98
  • Process in not capable, there is inconstant

Assumption- Chemical process-A give Yield range
100 -120 kg Mean is 111kg and
standard deviation 2.2. Calculate the process
capability 20 Cp -------
62.2 Cp 1.52 Process is capable constant
55
Statistical Tools and Application
METHODOLOGY TOOLS / TECHNIQUES
1. Search for opportunities decide what to work on. Identify the area for improvement Pareto charts Cause and effect diagrams, flow chart.
2. Clearly define the project Select the improvement team. Pareto charts Brainstorming.
3. Study the current process/ situation. Check sheet Run chart Flow chart Cause and effect diagram Histogram Pareto charts Control charts
4. Analyse causes plan the improvement. Cause and effect diagram Correlation chart Pareto charts Brainstorming Histogram.
56
Statistical Tools and Application
METHODOLOGY TOOLS / TECHNIQUES
5. Carry out the improvement plan. Run chart Histogram flow chart.
6. Study the effect of the changes. Run chart Histogram Control chart.
7. Standardize the improved process. Flow chart Run chart Histogram
8. Assess progress and plan for the future. Cause and effect diagram Pareto charts Brain storming
57
  • What does not get Measured, Can not be Recorded
  • What does not get Recorded, Can not be Monitored
  • What does not get Monitored, Can not be
    Controlled
  • What does not get Controlled, Can not be Improved

58
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59
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