new seven management tools
DESCRIPTION
Total quality managementTRANSCRIPT
New Seven Management Tools
Matrix Data Analysis Diagram
Introduction
In addition to seven Statistical tool
7 Management Tools
Quality Improvementused for
Committee of J.U.S.E. - 1972 Aim was to develop more QC techniques with
design approach Work in conjunction with original Basic Seven
Tools
New set of methods (N7) - 1977
Relation Between New Seven Q.C. Tools and Basic Seven Tools
FACTS
Data
Numerical Data Verbal Data
Organize
The Seven New Tools
Information
The Basic Seven Tools
•Generate Ideas•Formulate plans
•Analytical approach
Define problem after collecting numerical data
Define problem before collecting numerical data
Source: Nayatani, Y., The Seven New QC Tools (Tokyo, Japan, 3A Corporation, 1984)
The Seven Management Tools and their Purposes
Management Tools Purpose
Affinity diagram For Synthesizing ,classifying, Organizing, Indefinite ideas
Relationship diagram For Isolating Cause and Effect Relationship
Tree Diagram For Deploying general concepts into details
Decision Tree For identifying Alternatives
Arrow Diagram For Planning
Matrix Diagram For correlating in a Logical Form, In order to evaluate, Select and decide
Matrix Data Analysis For Quantifying relationships
Matrix Data Analysis Diagram
Matrix data analysis diagram ≡ Matrix diagram
Difference The Numerical Data is used instead of Symbols
Only Tool
uses Numerical Data Produces
Numerical Results
It is a Shaped Matrix
Uses Pair Wise Comparison to In order To choose Best Options
MDAC……
When do we use it?
To present Numerical data about two sets of factors in a matrix form and analyze it to get numerical Output
Tool is used in “Principal Component Analysis”(Where only two characteristics can be studied
at a time)
• Tool is Advantageous in studying
1.Parameters of Production
2.Analyzing Market Information
3. New product planning and so on..
How do we construct it?
Decide 2 Factors (Whose relations are to be analyzed)
Check No Of Individual Items (In two Factor)
Prepare a Matrix
Enter Numerical Data in the Matrix
Analyze The Final Result
Constructing a Prioritization Grid Source: Foster, S., Managing
Quality (Upper Saddle River, NJ: Prentice Hall, 2001)
Determine your goal, your alternatives, and criteria for decision
Place selection in order of importance
Sum individual ratings to establish overall ranking (Divide by number of options for average ranking)
Apply percentage weight to each option (all
weights should add up to 1)
Rank order each option with respect to criterion (Average the rankings and apply a completed
ranking) Multiply weight by associated rank in
Matrix (in example, 4 is best, 1 is worst) Result is Importance Score
Add up Importance Scores for each option
See completed the diagram
Rank order the alternatives according to importance
Criteria Customer Acceptance StrengthImportance Sum
Score Option Ranking (most important) Cost Reliability (least important)
Options
Design A
Percentage weight .40 .30 .20 .10
Rank 4 3 3 1
Importance score 1.6 .90 .60 .10 3.2 1 (tie)
Design B
Percentage weight .30 .40 .10 .20
Rank 3 4 1 2
Importance score .90 1.6 .10 .40 3.0 2
Design C
Percentage weight .25 .25 .25 .25
Rank 1 2 4 3
Importance score .25 .50 1 .75 2.5 3
Design D
Percentage weight 0.3 .10 .20 .40
Rank 3 1 3 4
Importance score .90 .10 .60 1.6 3.2 1 (tie)
Sum of weights 1.25 1.05 .75 .95
Average weight .31 .26 .19 .24
Criterion Ranking 1 2 4 3
Example
• For example, a washing powder may have different characteristics achieving 'softness' and 'stain removal' in garments made of acrylic, polyester, wool and various fiber mixtures.
• If similar affects are found in a group of fibers, then changing the powder ingredients may affect the whole group in a similar way.
• The Matrix Data Analysis Chart (or MDAC) helps classify items by identifying two major characteristics common to all items and then plotting each item as a point on a standard x-y chart.
• This makes it easier to see how the individual items relate both to the characteristics and to one another, thus:
Some other Examples
• It would be useful to be able to compare many characteristics together, such as the density, color, texture, strength, etc. of cement mixtures
?Queries
Thank You