Statistical Process Control of an Automobile Parts Manufacturing Company Using Six Sigma

Abstract

The need for quality has been longer recognized in business environment so that we obtain or manufacture top quality products. In a production environment, quality boosts reliability, increases efficiency and client satisfaction. Practices of Statistical Process Control (SPC) are required in the Quality Manufacturing. For the improvement of manufacturing performances in manufacturing companies, practices of Statistical process Control is much needed. The main focus of this ongoing work is to determine the major reasons of breakdowns affecting productivity and how to improve the company manufacturing ability by reducing those breakdowns using Six Sigma. Total quality management (TQM) was basically introduced to enhance regularly the product or services to raise the customer’s satisfaction level. SPC is a very significant and important tool of TQM. In normal apply; SPC is employed as quality control tool. However in this comprehensive research SPS is employed to increase the total output distinguishing major losses using Six Sigma. Successful implementation of the recommendations of this paper will significantly improve the manufacturing performance of company manufacturing environment. Six Sigma is being Implemented all over the world as successful Quality Improvement Strategy. This thesis is conducted at an Automobile Parts Manufacturing company to decrease the defect rate of different manufacturing processes used in various Projects of the Production Facility. The Industry selected is Rastgar Engineering Company which is Islamabad Based Automobile parts manufacturing Industry equipped with modern manufacturing and testing Equipments.