Aim for perfection.

That's a pretty lofty concept. It's definitely not easy - especially when speaking of core business processes. Moving toward perfection requires measurement, analysis and documentation. And if you really want perfection, then you need more sophisticated tools. But is driving toward that ideal of perfection worth the effort?

If you want to increase quality and dramatically save costs in production, then, yes, the road to perfection is definitely worth the driving time.

Last time, we discussed process mapping to increase communication and understanding within an organization and to effectively develop a system of procedures. Now, let's take a forward step, and look at how Six Sigma tools can decrease variability and increase quality in your processes.

The Six Sigma methodology is an advanced set of tools designed for problem-solving and quality improvement. A 'sigma' refers to the standard deviation from the mean of a population. Standard deviation indicates the likelihood that your next data point will deviate from the mean of the data set.

At the bottom of the Six Sigma pyramid begins a system's current process capability. Usually at 1 or 2 Sigma levels is "tribal" knowledge based on first-time experiences. An organization moves up the pyramid to 3 Sigma as systems are put in place. To hit 4 Sigma, statistics and modeling tools are used for significant process improvement. And, finally, to aim for that near perfection, organizations apply DFSS, or Design for Six Sigma.

Why?

Why do (and should) organizations use these concepts to move up the pyramid and toward quality improvement? Why is it necessary to measure, analyze and document processes - and, if needed, make those desired changes? Why drive toward perfection, and what does it mean in real terms?

If your current process capability runs at 1 Sigma, then that effectively means you have two defects (unusable products) out of every 3 parts. That means 67% of your costs simply become waste, with no return on your investment. At 2 Sigma, quality improves with 1 out of 3 parts as defects. But that still has an error rate of 33%. Not until 3 and then 4 Sigma levels will you see dramatic improvements. Put in these terms, you quickly see how such errors keep you from realizing a greater potential.

Organizations most effectively utilize Six Sigma methodology in two situations. One, if a business works with a very high volume of transactions per year, then they can not tolerate low sigma levels. For example, a 99% effective rate for 1 billion transactions per year still yields 10 million defects. In any industry, that is not acceptable.

Another situation that calls for Six Sigma methodology is when an organization (i.e. manufacturing) has processes with multiple steps. Here total error rate is critical. For example, the effective rate is 99% for each step; however, that does NOT give the total error rate as 1%. You must take the 99% for the first step and multiply it by 99% for the second step, the third step, and so on. With a great number of steps, your total effective rate could significantly decrease. So, to avoid high volatility, this organization can not tolerate low sigma levels.

Organizations can also determine error rate by effectively reversing the typical process of Six Sigma. You can calculate the mean and variance in your process to define the error rate. This tells you where you are currently on the Six Sigma curve. For example, if your calculation tells you that you're on a 1 or 2 sigma level, then this is an area in need of improvement. This gives you an opportunity to look at the data more carefully, take the mean and variance of each step of the process, and determine in which step the process is having problems. Or it could tell if you there are many steps causing the problems and, thus, the cumulative increase in error rate.

Organizations use the Six Sigma methodology, because you can't get any higher than 2 Sigma ("tribal" or basic knowledge) without putting strong processes and procedures in place. And without strong processes and procedures, you can not move toward higher quality and system optimization - toward perfection. Are you really satisfied with 67% of your product lost as waste? Are you satisfied with such high variability in your system?

If needed, you can change your process to reduce or eliminate this variability or error. Six Sigma methodology tells you when to take action to solve a problem. It moves an organization to consistently meet the requirements and minimize the resources used in its management system. And it creates the desired results for which the system was designed.

Remember, though, you can only get to 3 or 4 sigma by developing a system of policies and procedures of measurement, analysis and documentation. And with this you will easily see that reducing your error rate and moving toward perfection with Six Sigma tools is well worth the driving time - and, more, crucial to your system's control.

That's a pretty lofty concept. It's definitely not easy - especially when speaking of core business processes. Moving toward perfection requires measurement, analysis and documentation. And if you really want perfection, then you need more sophisticated tools. But is driving toward that ideal of perfection worth the effort?

If you want to increase quality and dramatically save costs in production, then, yes, the road to perfection is definitely worth the driving time.

**Forward Steps, Quality and Processes**Last time, we discussed process mapping to increase communication and understanding within an organization and to effectively develop a system of procedures. Now, let's take a forward step, and look at how Six Sigma tools can decrease variability and increase quality in your processes.

**Six Sigma, Pyramids and Systems**The Six Sigma methodology is an advanced set of tools designed for problem-solving and quality improvement. A 'sigma' refers to the standard deviation from the mean of a population. Standard deviation indicates the likelihood that your next data point will deviate from the mean of the data set.

At the bottom of the Six Sigma pyramid begins a system's current process capability. Usually at 1 or 2 Sigma levels is "tribal" knowledge based on first-time experiences. An organization moves up the pyramid to 3 Sigma as systems are put in place. To hit 4 Sigma, statistics and modeling tools are used for significant process improvement. And, finally, to aim for that near perfection, organizations apply DFSS, or Design for Six Sigma.

Why?

**Measurement, Analysis and Documentation**Why do (and should) organizations use these concepts to move up the pyramid and toward quality improvement? Why is it necessary to measure, analyze and document processes - and, if needed, make those desired changes? Why drive toward perfection, and what does it mean in real terms?

If your current process capability runs at 1 Sigma, then that effectively means you have two defects (unusable products) out of every 3 parts. That means 67% of your costs simply become waste, with no return on your investment. At 2 Sigma, quality improves with 1 out of 3 parts as defects. But that still has an error rate of 33%. Not until 3 and then 4 Sigma levels will you see dramatic improvements. Put in these terms, you quickly see how such errors keep you from realizing a greater potential.

**Transactions, Multiple Steps and Tolerance**Organizations most effectively utilize Six Sigma methodology in two situations. One, if a business works with a very high volume of transactions per year, then they can not tolerate low sigma levels. For example, a 99% effective rate for 1 billion transactions per year still yields 10 million defects. In any industry, that is not acceptable.

Another situation that calls for Six Sigma methodology is when an organization (i.e. manufacturing) has processes with multiple steps. Here total error rate is critical. For example, the effective rate is 99% for each step; however, that does NOT give the total error rate as 1%. You must take the 99% for the first step and multiply it by 99% for the second step, the third step, and so on. With a great number of steps, your total effective rate could significantly decrease. So, to avoid high volatility, this organization can not tolerate low sigma levels.

Organizations can also determine error rate by effectively reversing the typical process of Six Sigma. You can calculate the mean and variance in your process to define the error rate. This tells you where you are currently on the Six Sigma curve. For example, if your calculation tells you that you're on a 1 or 2 sigma level, then this is an area in need of improvement. This gives you an opportunity to look at the data more carefully, take the mean and variance of each step of the process, and determine in which step the process is having problems. Or it could tell if you there are many steps causing the problems and, thus, the cumulative increase in error rate.

**Processes, Procedures and Control**Organizations use the Six Sigma methodology, because you can't get any higher than 2 Sigma ("tribal" or basic knowledge) without putting strong processes and procedures in place. And without strong processes and procedures, you can not move toward higher quality and system optimization - toward perfection. Are you really satisfied with 67% of your product lost as waste? Are you satisfied with such high variability in your system?

**Problems, Resources and Results**If needed, you can change your process to reduce or eliminate this variability or error. Six Sigma methodology tells you when to take action to solve a problem. It moves an organization to consistently meet the requirements and minimize the resources used in its management system. And it creates the desired results for which the system was designed.

**Systems, Control and Perfection**Remember, though, you can only get to 3 or 4 sigma by developing a system of policies and procedures of measurement, analysis and documentation. And with this you will easily see that reducing your error rate and moving toward perfection with Six Sigma tools is well worth the driving time - and, more, crucial to your system's control.