Six Sigma: Analysis of Attribute Relevance in Project Management.
Six Sigma is a data-driven methodology that offers distinctive techniques to identify and mitigate errors or defects in a business organization. From project management to manufacturing, Six Sigma is an approach that excels at reducing and preventing waste, thus improving the project quality and minimizing associated risks and mistakes. Unlike typical project management, this data-driven and statistical methodology identifies the weak points and then removes the root causes of those weak points using a set of quality management processes. As a result, issues get resolved effectively; costs are reduced with an increase in revenue, leading to ultimate customer satisfaction. On the contrary, typical project management processes are the discharge of knowledge and tools that provide more emphasis on controlling potential problems on a project-by-project basis, as against preventing the recurrence of those errors and defects. The project management and Six Sigma approach may be two very different sides of the same coin, working cohesively to employ specific skills and techniques to improve the net income and profit of an organization. Therefore, an integration of both approaches would yield remarkable results rather than choosing one methodology over the other. For instance, the strength of project management is process control plans, which when infused with the troubleshooting strength of Six Sigma, you can develop a boost in efficiency, cost reduction, and enhance marketing function. However, it is interesting to note that project management ends after a project, whereas Six Sigma remains an ongoing process striving to maintain improvement.
Six Sigma today: Relevant or trivial?
Regardless of the industry, firms require coherent and methodical processes to absolute various projects and sustain relevancy. Six Sigma was first introduced in 1986 by Bill Smith and has stood the test of time. This methodology has rendered its service to various customer bases over the years, significantly reducing the firm’s disclosure to risks and defects. However, since it is a heavily data-driven procedure, it is argued that Six Sigma is painfully time-consuming and complicated. For small-scale business ventures, adoption of such methodology leads to failure in innovation and overall cost expansion. The feasibility is threatened further when companies, small or large, have to endure in-house training costs as well. Although, even with these challenges, this approach is not without benefits as it delivers on both quality and risk control management. Some of the advantages of this philosophy or tool include:
• Informed risk management and decision-making
• Enhanced quality and customer satisfaction
• Profitability and cost reduction
• Long-run process improvement
• Superior productivity and time-management
There are mainly two sub-methodologies that share the common objective of refining processes but offers a more narrowed approach individually. They are DMAIC and DMADV. DMAIC stands for Define, Measure, Analyze, Improve, and Control, which is used for ongoing business processes, whereas DMADV stands for Define, Measure, Analyze, Design and Verify, which works best for potential projects. Whatever you choose according to your requirements, this proven methodology will streamline and optimize your processes and carry through success across and beyond your projects. At ZERCO, our engineering staffs are certified at various dimensions of Six Sigma processes that has helped reduce the manufacturing lead-time and improved efficiency while working with our clients. To learn more about ZERCO products and services please visit our website www.zerco.us and email us at firstname.lastname@example.org for more info.