Author(s): Rachit Sandolkar, Sharda Pratap Shrivas
A systematic study of such failures is expected to help in identifying the critical elements/sub-system prone to failure.CNC machines into groups’ helps maintenance department to focus their attention to the machine that has high tendency to produce defect. In this work failure analysis of computerized numerical control (CNC) lathes as well milling machine are collected, investigated and described. Failure data of CNC’s lathes and CNC’s milling over a period of six years was considered. The failure position and subsystem, failure mode and cause were analyzed to indicate the weak subsystem of a CNC Milling Multiple Attribute Decision Making (MADM) method, was used to identify each CNC machine failure. These failures were then used to create a quality inspection order, so that the machine with the lowest failure could be inspected before the machine with the highest failure The results suggest that the proposed method helps to detect failure causes of CNC machine earlier hence reducing the number of delay found in the production line.