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A Total Quality Organization Thru’ People
(Part 22 : P2P-Schema for a Pupil’s Development)

Abstract
People and Pupils are two components of an organization, weighting towards the former category. While the former are proactive to procedures set up by the organizations, continually working to meet specifications, we need to set up systems which are autogenously improvement-oriented. That is how the organizations or Foundries can be kept continually rejuvenating to withstand competition and the forthcoming challenges.
Pupils are deemed to be continuously learning people, yet they are differentiated by the proactive culture and not by the responsiveness for the control of procedures as a fuzzy system which can correct things or mechanisms.
The reactive people are alive to effects; conversely, proactive Pupils are alive to causes.
This work on transforming ‘People to Pupil’ attempts to make a case for the need and modus operandi of people’s transformation to the Pupilhood. The model to training of people and objectives for transformation is reiterated.

Key Words: Learning People, Guru Gobindsinghji, Foundry competitiveness, Capatence, Four Shift paradigm

DOER syllabi for test For MST II
MST-II
Basic principles of design of experiment
Completely randomized and randomized complete block designs
Design with two blocking variables
Analysis of data from a Latin square
Design of Experiments with the help of orthogonal arrays,
Taguchi’s Robust parameter design,
Analysis, Noise factor
Tolerance on control factors
Experiment with two factors
, Main effects and interactions,
-Two-factor & more analysis of variance
Writing of a Research Paper

Balance to be done after MST II
Choice of sample size
Graphic analysis
pooling
Regression
More on Correlation
Residual analysis and model checking

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Syllabi till MST-I
Sr No/ Topic Covered
1 Nature and objective of research
2 Research Methodology Research topic
3 Research design
4 Literature review, Formulation of problem
5 Sampling techniques, Data collection
6 Statistical and sensitive analysis of data
7 Interpretation of result
8 report writing
9 Classification of experimental designs
10 Scaling, Measurement etc
11 Estimation of parameters
12 Hypothesis Testing
13 Confidence Interval & Test of significance
14 Tests of Means ‘Z’ and ‘t’
15 Tests of Variances ‘Chi Sq and’ F
16 Basic ONE WAY Analysis of variance
17 Role of SPC in Quality Improvement
18 Role of Design, Quality Vs Variation, Taguchi’s contribution to design
19 Type I and Type II errors
MST-I

- Posted on February 22nd, 2009 in Pages | 2,340 Views |

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