
- Teacher: Md. Kamrul Islam
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Apparel Manufacturing III is a major course especially for the students who are willing to study Apparel Manufacturing as their advanced stream. This course is designed with different types of wet and dry process of garments washing including their purposes, requirements, effects, costing. This course also contents a brief description of garments dyeing and tinting. Finally this course is ended with brief description of buyers required garments testing and TQM in different sections of an apparel industry. By the end of this course it is expected that the student will be able to:* Explain the fundamentals of garments washing, garment dyeing and garments testing* Explain the detailed procedure of various washing techniques, dyeing techniques, identifying the washing faults and their remedies.* Can perform different types of wet and dry processes of garments washing.* Evaluate the results of the garments test.
The course is designed to develop an understanding of methods and techniques used to analyze textile fibre, yarns and fabrics for end-use performance and to acquire knowledge and understanding of various structural properties of textiles and relate to end use fabric performance and product.After successful completion of the course, students will be able to-CO 1: Explain the terminology, basic concepts of quality and quality control.CO 2: Conduct on-line quality control (process control and product control) and inspection for each sector of the industry.CO 3: Measure sliver, roving and yarn irregularity and analyze length variance, imperfections, yarn hairiness using different statistical toolsCO 4: Estimate the damage to materials caused by different physical and chemical treatments in wet processing sector. CO 5: Prepare a master plan of quality control and inspection in association with costing for manufacturing quality product in Yarn/ Fabric/ Apparel manufacturing industry and also in wet processing sectors.
Biostatistics is the science which deals with development and application of the most appropriate methods for the: ➢ Collection of data. ➢ Presentation of the collected data. ➢ Analysis and interpretation of the results. ➢ Making decisions on the basis of such analysis.