Mining Industrial Engineered Data of Apparel Industry: A Proposed Methodology

Abstract

Data mining and knowledge discovery play a significant role in the field of industrial engineering as the vast amount of gener-ated data help to reveal previously unknown interesting patterns and knowledge. Many industries have already adopted data mining techniques for better productivity by following clear and concise methodologies. But apparel industries are yet waiting to adopt data mining techniques due to the absence of a data mining method-ology which meets the particular requirements and business ob-jectives. The objective of this research is to develop such a min-ing methodology that will be able to fulfill the requirements of apparel industries. This research paper has proposed a methodol-ogy for mining industrial engineered manufacturing data of ap-parel industries. This methodology covers from analysis of ap-parel industrys manufacturing unit to implement and evaluate min-ing model. It also includes the analysis of different departments in manufacturing to identify correlation and dependencies among the departments which is absent in the existing methodologies. Fur-thermore, the proposed methodology provides a clear and unam-biguous transitions among different steps to perform data mining.