Textile Quality Management detail TNDTE Diploma syllabus for Textile Marketing And Management (TMM), M scheme is extracted from TNDTE official website and presented for diploma students. The course code (36444), and for exam duration, Teaching Hr/week, Practical Hr/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below. The syllabus PDFs can be downloaded from official website.
For all other textile marketing 4th sem syllabus for diploma m scheme tndte you can visit Textile Marketing 4th Sem Syllabus for Diploma M Scheme TNDTE Subjects. The detail syllabus for textile quality management is as follows.
Rationale:
To understand the basic concepts in quality management system and the methods of implement the same in the textile industry.
Objectives:
Unit – I
- To understand the Definition and scope of Quality Management.
- To understand the Kaizen Quality Management principles.
Unit – II
- To understand the classification of data.
- To study the types of diagrams and graphs.
Unit – III
- To learn the various measures of central tendency.
- To study standard deviation and measures of variation.
Unit – IV
- To understand the importance of statistical quality control.
- To know about ISO-9000, ISO-14000 and SA-8000.
Unit – V
- To study the meaning and uses of Correlation.
- To learn the Time series Analysis
Detailed Content:
Unit I
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Unit II
Analysis Of Statistical Data For Quality Management
Classification of data – Geographical, Qualitative, Quantitative and Chronological – Frequency distribution -formation of discrete series – formation of continuous series -Inclusive and Exclusive type – Diagrams and graphs – Types of diagrams – Types of graphs, Histogram.
Unit III
Measures Of Central Tendency And Measures Of Variation
Objectives of averaging – characteristics of a good average -Measures of central tendency -Arithmetic Mean – Median -Mode- Geometric Mean – Harmonic Mean for grouped and ungrouped data – Measures of variation – Range – Standard deviation for ungrouped data – Standard deviation for grouped data
Unit IV
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Unit V
Time Series And Correlation Analysis For Quality Management
Definition of Time series analysis – Components of time series – Methods of studying Time series – Graphical method – Semi average method – moving average method – -Correlation Analysis – Types of Correlation – Scatter diagram method – Karl’s Pearson method
Text Books:
- K.SHRIDHARA BHAT Total Quality Management Himalaya Publishing House 1st 2002
- S.P.GUPTA Statistical Methods. Sultan &Sons 19th 2005
Reference Books:
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For detail syllabus of all other subjects of BE Textile Marketing, M scheme do visit Textile Marketing 4th Sem syllabus for M scheme.
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