Developing standard elderly aged female size charts based on anthropometric data to improve manufacturing using artificial neural network-based data mining

摘要

The ageing problems are much worse in the developed countries, so qualities ofnlife are now critical issues faced by many countries with ageing population. Anwoman’s body type changes significantly with age, especially during elderly age.nElderly aged women are a significant customer group because of their interest innapparel matched by an increase in financial abilities. However, most apparelncurrently marketed is produced based on the younger women, and does not reflectnthe elderly aged body types. Standard elderly aged size charts are crucialnstandards for apparel industries. However, these industries suffering fromnproduction often find it hard to obtain the elderly aged standards. This studynaims to fill the gap by proposing an ANN-based data mining framework tongenerate useful patterns for developing standard size charts. By conducting annempirical study, the results can provide apparel industries with standard sizencharts for women to improve manufacturing competitiveness.