SK Bhaskar

D. Agrawal

JP Bhamniya

MK Sain

Abstract

Process capability analysis (PCA) is shown a capacity of the process to meet up a pre-specified required value. PCA defines that how a product specification relates to the common variations occur in the process. PCA has been usually applied in various companies and processes i.e. an automobile, air conditioning, manufacturing, ordinance factories, medical industries etc. Among these industries, bearing manufacturing firms hold a special value, as bearings are an integral part of all prime movers. In this paper, PCA has been applied on the inner race of ball bearings to attain success in terms of productivity, quality control, improvement plans and their successful implementation. The work is focused on the computation of process capability indices (PCIs) with the help of collected data and to provide solutions to identified problems. In this work, PCA was done with the help of MINITAB 18.0 and the results were obtained in the form of graphs and control charts. Based on these findings, strategies for quality improvement were developed and suggested to the concerned firm

Keywords- Process Capability Analysis (PCA), Statistical Process Control (SPC), Process Capability Indices (PCIs).