Process variability reduction through Statistical Process Control for Quality Improvement.

B.P. Mahesh1)

M.S. Prabhuswamy 2)

1) Department of Industrial

Engineering and Management

M.S.Ramaiah Institute of

Technology, Bangalore-, India

2) Department of Mechanical

Engineering

S.J. College of Engineering,

Mysore, India

(SQC 13)

Abstract:

Quality has become one of the most important customer decision factors in the selection among the competing product and services.

Consequently, understanding and improving quality is a key factor leading to business success, growth and an enhanced competitive position. Hence quality improvement program should be an integral part of the overall business strategy.

According to TQM, the effective way to improve the Quality of the product or service is to improve the process used to build the product. Hence, TQM focuses on process, rather than results as the results are driven by the processes.

Many techniques are available for quality improvement. Statistical Process Control (SPC) is one such TQM technique which is widely accepted for analyzing quality problems and improving the performance of the production process.

This article illustrates the step by step procedure adopted at a soap manufacturing company to improve the Quality by reducing process variability using Statistical Process Control.

Keywords:

Statistical Process Control; Process Capability Indices; Six Sigma; Variable control chart; Attribute control chart; Cause and effect diagram.