''5S'' METODOLOGY IN E-MANUFACTURING

Abstract

In manufacturing, the health degradation of equipment is crucial and diagnostics should be carried out frequently. It is done with the help of statistics methodology or machine learning models. Obtained data is converted into prognostics information, so as to reduce ''down time'' to zero. ''5S'' is a step-by-step methodology used for prognostics with the aid of various computing tools for different applications in an e-manufacturing environment. It sorts out useful data from raw datasets, and converst data into information vital to equipment performance.