Nowadays, automobile industries are facing huge competition as the sector is expanding and ame-liorating day by day. All organizations are thriving to attain top position by increasing their produc-tivity. Productivity improvement is a function of eliminating rejection problem and improving system. To excel and improve the organizational efficiency a complete focus on finding root causes and eliminating factors responsible is needed. In industries, hurdles are associated with all operations. The existing study is about problem solving in a diecasting industry manufacturing alternator bracket. The authors explain the use of different statistical quality tools with the help of Minitab software to analyze root cause for enhancing the low productivity level. The streaming explanation of methodology can be useful for the organization of similar profile towards productivity improvement.

It is a commonly visible scenario in todays’ market, especially in small and medium sized enterpris-es (SMEs), where the focus is on quantity rather than quality. This paper explains the common high rejection problem of a SME and how the productivity levels were enhanced after the successful implementation of Six-Sigma DMAIC methodology. Once the project completion industry was able to acquire many tangible and intangible benefits, this paper offers a systematic step by step illustration of DMAIC methodology to help the other firms start similar productivity improvement initiatives.

Six-Sigma is a statistical attitude – not judgment or sentiment. It is about statistical facts that as-sist the authorities to spotlight their concentration on the progression arrangement rather than on individuals and get assessments based on reality and unbiased information but not on impracti-cable prospects. Six-Sigma is an integrated approach to involve everything within the organiza-tion for reducing defects and variation. It is a combination of all efforts in an association for quality enhancement, quality progress and quality protection to reach the optimum clients satis-faction. The primary objective of Six-Sigma methodology is always directed towards the perfec-tion at any level whether financial or non-financial. Putting efforts rightly and maintaining con-sistency are the basic concepts behind successful implementation of Six-Sigma. The present work provides a way to examine the Six-Sigma practice in a manufacturing firm with the use of statistical thinking in getting high quality products by reducing the variation and ultimately in-creasing profit.