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So now that you've figured out the root cause analysis you've figured out what

are the different causes for the problems that you're seeing or the improvements

that you're trying to make in a process Next we go to improve and

control stage of the project.

If you're doing the Six Sigma project you're thinking about to make,

you're in the improve and control phase.

And here, what you're doing is you're trying to put in place

the improvements that you thought will work.

Make sure that they're put in place in the right way and then,

get some kind of mechanism in place to sustain those improvements,

so that you don't have to reinvent the wheel next time you go check the process,

you don't have to do the same improvement again.

So you're trying to maintain that,

you're trying to make sure it doesn't deteriorate back to the earlier level.

So some techniques that you learn in this lesson are going to be

toward the Improve phase of six sigma project.

So first we have the FMEA which is Failure Mode Effects Analysis, and

there what you'll see is you can use this to see the effectiveness of changes and

also treat this as a continual way of improving how you are implementing

the improvements, if I can call it that.

Improving the way you're implementing the improvements

in terms of getting better results.

Next, you'll see the importance of pilot cells and simulations as ways of

verifying the relationships that you did find in the root cause analysis phase,

in the analyze phase.

So pilot cell, as it states, is you're doing a pilot study.

You're trying out something before you do a full-scale launch.

And in the simulation, you're not even doing a real application of it.

You're doing it in the form of a simulation environment.

So just like we have flight simulators to learn about flying a plane,

here what you're doing is you're simulating the environment of the process,

and you're trying to see what are the implications of the changes that you're

thinking about, before you actually go and try them.

So pilot cells and

simulations are a good way of checking out the improvements in the improved phase.

Next you move onto the control phase, sort of the improved and controlled phase

mixed in the sense, talking about standard work and visual metrics.

So setting up standard work is part of the improve phase.

You've come up with improvements for your process.

Your work is not done, your job is not done until you figure out

how well people implement those improvements going forward.

So standard work becomes important metrics so that people can see

how those improvements are having effect on whatever work has been improved

are going to be important and that's going to happen in the improve/control phase so

you'll be doing in both those phases.

5S is a lean methodology which is used in order to make sure that there's

a stable work place environment so that you can have the improvement or changes

that you're making taking place in a systematic way and staying on that level.

So we'll look at 5S in this lesson.

And then, mistake proofing as a way of making sure that

the process itself checks that there are no mistakes being made.

So mistake proofing, which is also called making automatic checks for your changes.

So it's also called error proofing in that sense.

You're trying to proof the process for making any errors and

that's a control mechanism that can be used.

Other techniques that you can use in the improve and control phase are a control

charge and even process diagrams, things that we've talked about earlier.

So what I'm saying here is that there are no specific places for

you to use specific tools and techniques, it's whatever works in this stage.

But in general in the improve and control phase you'll see these

techniques that we'll talk about in this lesson being used.

Finally, what we wanna talk about in this lesson is

that you wanna check the acceptance of the changes that you're trying to make.

So we like to say in process improvement,

that the quality of any change that you're trying to make is going to depend not

only on it's quality itself but how accepted that changes.

So you can optimize any process to whatever degree that you want but if you

don't have acceptance of that change it's not going to be very effective.

So the quality and acceptance of the change both become important.

And that's what we'll be looking at toward the end of this lesson.

So let's get started.

4-1.1 Lesson Objectives

Mejora de procesos

Conoce a los instructores