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IJFTR Vol.36(4) [December 2011] >


Title: Modelling, optimization and decision making techniques in designing of functional clothing
Authors: Majumdar, Abhijit
Singh, Surya Prakash
Ghosh, Anindya
Keywords: Artificial neural network
Decision making technique
Functional clothing
Genetic algorithm
Linear programming
Modeling technique
Regression
Issue Date: Dec-2011
Publisher: NISCAIR-CSIR, India
Abstract: Functional clothing are actually engineered textiles as they require to meet the stringent performance characteristics rather than the aesthetic properties. Therefore, the trial and error approach of product design does not seem to be a viable way for functional clothing. It needs more potent approaches of modelling, optimization and decision making so that the design and functional requirements of clothing can be met with acceptable tolerance. This paper provides a brief outline of various techniques of modelling, optimization and decision making intended for designing of functional clothing. In the modelling part, regression and artificial neural network approaches have been discussed with the examples of thermal property and water repellency modelling. Subsequently, linear programming and genetic algorithm techniques have been invoked in the optimization part. Optimization of ultraviolet radiation protective clothing is taken up as a case study. Finally, multi-criteria decision making techniques have been explained with the hypothetical example of selection of best body armour vest for defense applications.
Page(s): 398-409
CC License:  CC Attribution-Noncommercial-No Derivative Works 2.5 India
ISSN: 0975-1025 (Online); 0971-0426 (Print)
Source:IJFTR Vol.36(4) [December 2011]

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