Six Sigma based Risk Identification and Mitigation Framework for Projects Execution

Abstract

Six Sigma being a project management methodology is used in the industries and corporate sectors to substantiate goal of near perfection in process implementation and execution. It is based on the impetus of Plan-Do-Check-Act and has myriads of applications in numerous organizational and business processes to attain significant performance improvement in different industrial and corporate sectors including the IT sector. Despite realization of profuse maturity in many business processes, Six Sigma still lacks across-theboard framework for effective risk management because root cause analysis (RCA) is still the primary and principal technique used for handling risks in this methodology. In this paper, we have attempted to put forward a risk identification framework in order to improve quality and productivity of Six Sigma projects, particularly the IT development projects. The study also encompasses an abridged overview of the current methods being practiced for risk identification in Six Sigma. Our proposed model enlist a number of hypotheses for validation purposes and is duly evaluated and analyzed viz-à-viz DMAIC and DMADV approaches to make it compatible with QFD, FMEA and PMBOK requirements.