Puneet Vohra

Surviving and thriving with Traditional Six Sigma tools in the world of automation is possible, but it requires adapting and integrating these tools into your processes to maximize their effectiveness. Here are some strategies to help you do that: Understand the Role of Automation: Recognize that automation is not a replacement for human involvement but a tool to enhance productivity and efficiency. Understand where automation can be most beneficial in your processes, such as data collection, analysis, and reporting. Integrate Traditional Six Sigma with Automation: Use automation to collect and process data for your Six Sigma projects. Automated data collection tools can help you gather accurate and real-time information. Automate data analysis and reporting, which can significantly speed up the analysis phase of your projects. Consider integrating Six Sigma principles into the design and development of automated systems to build quality into processes from the beginning. Select the Right Projects: Choose Six Sigma projects that can benefit from automation, such as those involving repetitive tasks, data-intensive processes, or those with a high volume of transactions. Prioritize projects where automation can reduce errors and variability, leading to significant process improvements. Invest in Training: Ensure that your Six Sigma practitioners are trained in both traditional Six Sigma tools and the use of relevant automation technologies. Provide training on data analysis and interpretation, as this remains a critical aspect of Six Sigma projects, even with automation. Data Management and Analytics: Develop expertise in data management, as automated processes often generate vast amounts of data. Ensure that your organization can effectively collect, store, and analyze this data. Leverage advanced analytics tools and machine learning to extract valuable insights from automated data. Continuous Improvement: Apply Six Sigma's DMAIC (Define, Measure, Analyze, Improve, Control) methodology to continually improve automated processes. Regularly review and refine automated processes to adapt to changing business needs and technology advancements. Human-Machine Collaboration: Encourage collaboration between your Six Sigma practitioners and automation teams. Together, they can identify opportunities for automation and process improvement. Ensure that automation complements human decision-making rather than replacing it entirely, especially in cases that require judgment and complex problem-solving. Monitor and Control: Implement control mechanisms to monitor automated processes and ensure they continue to meet quality standards and performance targets. Develop contingency plans and human interventions for situations where automation fails or produces unexpected results. Maintain a Lean Approach: Embrace Lean Six Sigma principles in conjunction with automation to eliminate waste, reduce lead times, and optimize processes. Stay Updated: Keep up-to-date with advancements in automation and technology to remain competitive and agile in your industry. By adapting traditional Six Sigma tools to work in harmony with automation, you can continue to drive process improvement, reduce defects, and enhance overall quality while benefiting from the efficiency and accuracy that automation brings to the table.

How to identify the critical 'X's when there is no continuous data/count available for the causes listed in fishbone diagram?

Hi Mayank, Purpose of study- Time study using stopwatch for finance domain business processes Metric under study- AHT Level of confidence - 98 % Thanks, Puneet

Hi folks, Can you help in defining sample size for time study? If the total monthly inflow volume is 5,00,000. And having sub processes 5 nos allocated with proportionated volume. Total headcounts or FTEs are 50.

Hi Benchmark six sigma forum, "Burn-in testing" is actually endurance testing of the product or service which has been designed for the customer. In other terms this is also in-directly related to "product validation". Advantages :- 1. we can define the shelf life/ warranty/ life of the product or service. 2. Short & long term failures can be predicted before the product launch. 3. Severity of potential failures can be defined. Thanks,

reason:- People not following the six sigma based structured approach for problem analysis. Solution:- Sig sigma consulting agencies should broadcast free webinars to atleast make people aware about the scientific approach to play within variables to come up to the conclusion .

Artificial Intelligence is the system that uses a set of images as a training data to help machines understand the concept. Once the machine develops enough level of cognition it begins making guess about the objects which weren’t even in the data initially fed to the system. Robotic process Automation uses a set of instructions to automate a rule-based task. It uses a set of statements (steps in some cases) to define a repetitive activity and uses an algorithm to automate it. It demands systematic and organized inputs else it fails to bring the desired results. Due to no inbuilt intelligence, it has a very limited scope and is prone to making errors if inconsistent inputs are presented to the system.

Brainstorming is most likely used in FMEA ,which is the tool being used in "Measure" & "Analysis" phase. Potential failure of design or processes are pre-determined and it's imact on design or function with respect to severity , occurrence & detection.