The Lean Plateau

Many organizations trying to deploy lean get great results for the first couple of years, then things tend to stall or plateau. This is in spite of continued effort from the “lean team.”

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We Still Don’t Have a Lean Culture

This was the comment by the Continuous Improvement director of a pretty large corporation. They had been running improvement events for several years, everyone had pretty much been through one.

Each of the events had made pretty good strides during the week, but the behavior wasn’t changing. Things were eroding behind the events, even though everyone agreed things were better.

It was getting harder and harder to make more progress. They had hit the plateau.

What Causes the Lean Plateau?

While it might not be universal, what I have seen happen is this:

The implementation is led by a small group of dedicated technical experts. They are the ones who are looking for opportunities, organizing the kaizen event teams, leading workshops, and overseeing the implementation of lean techniques.

While this works in the short term, often the last implemented results begin to erode as soon as the lean experts shift their attention elsewhere.

At first, this isn’t noticed because the implementation is proceeding faster than the erosion.

However the more areas that are implemented, the faster the erosion becomes. There is simply more “surface area” of implemented areas.

At some point, the rate of erosion = the rate of implementation, and the lean team’s efforts start to shift from implementing new areas to going back and re-implementing areas that have eroded.

The lean team’s capacity becomes consumed re-implementing, and they spend less and less time going over new ground. They are spending all of their time “spinning the plates” and no time starting new ones.

Key Point: The lean plateau occurs when the level of implementation effort and the rate of erosion reach an equilibrium.

In the worst scenario, sooner or later financial pressures come into play. Management begins to question the expense of maintaining an improvement office if things aren’t getting significantly better on the bottom line. What they don’t see is that the office is keeping things from getting worse, but they aren’t called the “maintain what we have office” for a reason.

Breaking the Lean Plateau

When I was a lean director in a large company, we were confronting this very question. We had a meeting to talk about it, and quickly started blaming “lack of management commitment.”

Leaders Weren’t Stepping Up

In any given area, after education and planning, our last step was always to have a major effort to put flow production into place. Since the performance of the area would be substantially better, we expected the leaders to work hard to continue that performance.

What actually happened in an area was “implemented,” was the line leaders in that area – supervisors, managers, senior managers – weren’t working to look for erosion and correct it.

Instead, when a problem was encountered, they were making some kind of accommodation that compromised flow. The effect of the problem went away, but things had eroded a bit.

What we thought we learned: The weren’t “supporting the changes.”

What we really learned – though it was only realized in hindsight: This is the mechanism of “erosion.”

Flow production is specifically designed to surface small problems quickly. If there is no mechanism to detect those problems, respond, correct, and learn, then the only thing leaders can do is add a little inventory, add a little time, add an extra operation.

As Hirano put it so well decades ago:

All waste is cleverly disguised as useful work.

But Our Current Condition was Incomplete

There were outliers where it was working.

As we talked, we realized that each of us had experience with an outlier – one or two areas that were actually improving pretty steadily. Trying to understand what was different about these bright spots, we looked for what they all had in common. Surprisingly:

  • They were areas with no dedicated improvement teams.
  • They ran few, if any, 5-day kaizen events.
  • They were geographically close to one of us (senior “Directors”).
  • One of us had decent rapport with the area management team.
  • We each had an informal routine with them: We would drop by when we had time, and walk the work area with the area leader. We could discuss the challenges they were facing, how things were operating, go together to the operations concerned, and look at what was happening. We could ask questions designed to “sharpen the vision” of the leader. Sometimes they were leading questions. Most of the time they were from genuine curiosity.
  • By the time we left, there was generally some action or short term goal that the leader had set for himself.

Even though we “lean directors” had never worked together before, our stories were surprisingly consistent.

The Current Condition (Everywhere Else)

aka Dave’s Insight

The next logical question was “If that is what we do, what happens everywhere else? What do the lean staff people do?”

Now we were trying to understand the normal pattern of work, not simply the outcome of “the area erodes because the leaders don’t support the changes.”

Dave confidently stood up and grabbed the marker. He started outlining how he trained and certified his kaizen leaders. He worked through the list of skills he worked to develop:

  • Proficiently deliver the various topical training modules – Waste vs. Value Add; Standard Work; Jidoka; Kanban and Pull;
  • “Scan” an area to find improvement opportunities.
  • Establish the lean tools to be deployed.
  • Organize the workshop team.
  • Facilitate the “Vision”
  • Manage the “Kaizen Newspaper” items
  • etc

and at some point through this detailed explanation he stopped in mid sentence and said something that brought all of us to reality (Please avert your eyes if you are offended by a language you won’t hear on network TV):

“Aw… shit.”

What we realized more or less simultaneously was this:

Management wasn’t engaged because our process wasn’t engaging them.

Instead, our experts were essentially pushing them aside and “fixing” things, then turning the newly “leaned” area over to the supervisors and first line managers who, at most, might have participated in the workshop and helped move things around.

Those critical front line leaders were, at best left with a to-do list of ideas (kaizen newspaper items) that hadn’t been implemented during the 5 days.

There was nothing in the structure to challenge them to meet a serious business objective beyond “Look at how much better everything runs now.” The amount of improvement was an after-the-fact measurement (or estimate) rather than a before-we-begin imperative.

So it really should be no surprise that come Monday morning, when the inevitable forces of entropy showed up, that things started to erode. The whole system couldn’t have been better designed for that outcome.

Why the Difference in Approach?

In retrospect, I don’t know. Each of us senior “lean directors” had been taught, or heavily influenced by, Toyota-experienced Japanese mentors, teachers, consultants.

When we engaged the “outlier” areas, we were following a kinder, gentler version of what they had taught us.

On the other hand, what we were teaching our own people was modeled more on what western consultants were doing. Perhaps it is because it is easier to use forms and PowerPoint for structure than to teach the skills of the conversations we were having.

Implement by Experts or Coached by Leaders

That really is your choice. The expert implementation seems a lot easier.

Unfortunately the “rapid improvement event” (or whatever you call them) system has a really poor record of sustaining.

Perhaps our little group figured out why.

There are no guarantees. No approach will work every time. But a difficult approach that works some of the time is probably better than an easy path that almost never works.

Using Takt Time to Compute Labor Cost

How can I use takt time in computing labor cost?

Sometimes the searches that lead here give us interesting questions.

While simple on the surface, this question takes us in all kinds of interesting directions.

Actually the simplest answer is this: You can’t. Not from takt time alone.

Takt Time

Takt time is an expression of your customer’s requirement, leveled over the time you are producing the product or service. It says nothing about your ability to meet that requirement, nor does it say anything about the people, space or equipment required to do it.

Cycle Time

Cycle time comes in many flavors, but ultimately it tells you how much time – people time, equipment time, transportation time – is required for one unit of production.

Takt time and cycle time together can help you determine the required capacity to meet the customer’s demand, however they don’t give you the entire story.

In the simplest scenario, we have a leveled production line with nothing but manual operations (or the machine operations are trivially short compared to the takt time).

If I were to measure the time required for each person on the line to perform their work on one unit of the product or service and add them up, then I have the total work required. This should be close to the time it would take one person to do the job from beginning to end.

Let’s say it takes 360 minutes of work to assemble the product.

If the takt time says I need a unit of output every 36 minutes, then I can do some simple math.

How long do I have to complete the next unit?  36 minutes. (the takt time)

How long does it take to complete one full unit?  360 minutes (the total manual cycle time)

(How long does it take) / (How long do I have) = how many people you need

360 minutes of total cycle time / 36 minutes takt time = 10 people.

But this isn’t your labor cost because that assumes the work can be perfectly balanced, and everything goes perfectly smoothly. Show me a factory like that… anywhere. They don’t exist.

So you need a bit more.

Planned Cycle Time (a.k.a. Operational Takt Time and “Actual Takt”)

How much more? That requires really understanding the sources of variation in your process. The more variation there is, the more extra people (and other stuff) you will need to absorb it.

If we don’t know, we can start (for experimental purposes) by planning to run the line about 15% faster than the takt time. Now we get a new calculation.

85% of the takt time = 0.85 x 36 minutes = ~31 minutes.  (I am rounding)

Now we re-calculate the people required with the new number:

360 minutes required / 31 minutes available = 11.6 people which rounds to 12 people.

Those two extra people are the cost of uncontrolled variation. You need them to ensure you actually complete the required number of units every day.

“But that cost is too high.”

Getting to Cost

12 people is the result of math, simple division that any 3rd grader can do. If you don’t like the answer, there are two possible solutions.

  1. Decide that 360 / 30 = something other than 11.6 (12). (or don’t do the math at all and just “decide” how many people are “appropriate” – perhaps based on some kind of load factor. This, in fact, is a pretty common approach. Unfortunately, it doesn’t work very well for some reason.
  2. Work to improve your process and reduce the cycle time or the variation.

Some people suggest slowing down the process, but this doesn’t change your labor cost per unit. It only alters your output. It still requires 360 minutes of work to do one unit of assembly (plus the variation). Actually, unless you slow down by an increment of the cycle time, it will increase your labor cost per unit because you have to round up to get the people you actually need, and/or work overtime to make up the production shortfall that the variation is causing.

So, realistically, we have to look at option #2 above.

This becomes a challenge – a reason to work on improving the process.

Really Getting to Cost

Challenge: We need to get this output with 10 people.

Now we have something we can work with. We can do some more simple math and determine a couple of levers we can pull.

We can reverse the equation and solve for the target cycle time:

10 people x 30 minute planned cycle time-per-unit = 300 minutes total cycle time.

Thus, if we can get the total cycle time down to 300 minutes from 360, then the math suggests we can do this with 10 people:

300 minutes required / 30 minutes planned cycle time = 10 people.

But maybe we can work on the variation as well. Remember, we added a 15% pad by reducing the customer takt time of 36 minutes to a planned cycle time (or operational takt time, same thing, different words) of 30 minutes. Question: What sources of instability can we reduce so we can use a planned cycle time of 33 minutes rather than 30?

Then (after we reduce the variation) we can slow down the process a bit, and we could get by with a smaller reduction in the total cycle time:

330 minutes required / 33 minutes planned cycle time = 10 people.

(See how this is different than just slowing it down? If you don’t do anything about the variation first, all you are doing is kicking in overtime or shorting production.)

So which way to go?

We don’t know.

First we need to really study the current process and understand why it takes 360 minutes, and where the variation is coming from. Likely some other alternatives will show themselves when we do that.

Then we can take that information, and establish an initial target condition, and get to work.

Summarizing:

  • You can’t use takt time alone to determine your labor cost. Your labor cost per unit is driven by the total manual cycle time and the process variation.
  • With that information, you can determine the total labor you need on the line with the takt time.
  • None of this should be considered an unalterable given. Rather, it should be a starting point for meeting the challenge.

And finally, if you just use this to reduce your total headcount in your operation, you will, at best, only see a fraction of the “savings” show up on your bottom line. You need to take a holistic approach and use these tools to grow your business rather than cut your costs. That is, in reality, the only way they actually reach anywhere near their potential.

 

 

 

Prediction Doesn’t Equal Understanding

Lunar Eclipse over Everett, WA. Photo by Mark Rosenthal, © 2015Sometimes people fall into a trap of believing they understand a process if they can successfully predict it’s outcome. We see this in meetings. A problem or performance gap will be discussed, and an action item will be assigned to implement a solution.
Tonight those of us in the western USA saw the moon rise in partial eclipse.

We knew this would happen because our understanding of orbital mechanics allows us to predict these events… right?

Well, sort of. Except we have been predicting astronomical events like this for thousands of years, long before Newton, or even Copernicus.

The photo below is of a sophisticated computer that predicted lunar eclipses, solar eclipses, and other astronomical events in 1600BC (and earlier). Click through the photo for an explanation of how Stonehenge works:

Photo of Stonehenge
Creative Commons flickr user garethwiscombe

Stonehenge represented a powerful descriptive theory. That is, a sufficient level of understanding to describe the phenomena the builders were observing. But they didn’t know why those phenomena occurred.

Let’s go to our understanding of processes.

The ability to predict the level of quality fallout does not indicate understanding of why it occurs. All it tells you is that you have made enough observations that you can conclude the process is stable, and will likely keep operating that way unless something materially changes. That is all statistical process control tells you.

Likewise, the ability to predict how long something takes does not indicate understanding of why. Obviously I could continue on this theme.

A lot of management processes, though, are quite content with the ability to predict. We create workforce plans based on past experience, without ever challenging the baseline. We create financial models and develop “required” levels of inventory based on past experience. And all of these models are useful for their intended purpose: Creating estimates of the future based on the past.

But they are inadequate for improvement or problem solving.

Let’s say your car has traditionally gotten 26 miles-per-gallon of fuel. That’s not bad. (For my non-US readers, that’s about 9 liters / 100 km.) You can use that information to predict how far a tank of fuel will get you, even if you have no idea how the car works.

If your tank holds 15 gallons of fuel, you’ll be looking to fill after driving about 300 miles.

But what if you need to get 30 miles-per-gallon?

Or what if all of a sudden you are only getting 20 miles-per-gallon?

If you are measuring, you will know the gap you need to close. In one case you will need to improve the operation of the vehicle in some way. In the other case, you will need to determine what has changed and restore the operation to the prior conditions.

In both of those cases, if you don’t know how the car operated to deliver 26 miles-per-gallon, it is going to be pretty tough. (It is a lot harder to figure out how something is supposed to work if it is broken before you start troubleshooting it.)

Here’s an even more frustrating scenario: On the last tank of fuel, you measured 30 miles per gallon, but have no idea why things improved! This kind of thing actually happens all of the time. We have a record month or quarter, it is clearly beyond random fluctuation, but we don’t know what happened.

The Message for Management:

If you are managing to KPIs only, and can’t explain the process mechanics behind the measurements you are getting, you are operating in the same neolithic process used by the builders of Stonehenge. No matter how thoroughly they understood what would happen, they did not understand why.

If your shipments are late, if your design process takes too long, if your quality or customer service is marginal, if the product doesn’t meet customer’s expectations, and you can’t explain the mechanisms that are causing these things (or the mechanisms of a process that operates reliably and acceptably) then you aren’t managing, you are simply directing people to make the eclipse happen on a different day.

“Seek first to understand.”

Dig in, go see for yourself. Let yourself be surprised by just how hard it is to get stuff done.

 

 

Another Homework Question

Another interesting homework question has shown up in the search terms. Let’s break it down:

23. if the slowest effective machine cycle time in a cell is 55 seconds and the total work content is 180 seconds, how many operator(s) should operate the cell so that labor utilization is at 100%?

I find this interesting on a couple of levels.

At a social level, the idea of cutting and pasting a homework question into Google hoping to find the answer is… interesting. Where is the thinking?

What are we teaching?

The question is asking “How many people do we need to run as fast as we can?” (as fast as the slowest machine). But how fast do they need to run? Maybe they only need a part every 95 seconds. If that is true, then I need fewer people, but I am going to run the slowest machine even slower.

In other words, “What is the takt time?” What does the customer need? How often must we provide it?

Then there is the “labor utilization” metric, with a target of 100%. Assuming the planned cycle time is actually 55 seconds (which it shouldn’t be!), we need 3.3 people in this work cell. (180 seconds of labor cycle time / 55 seconds planned cycle time: “How long does it take?” / “How long do you have?” = Minimum Required Capacity)

How about improvement? What do we need to do to get from 3.3 people to 3 people? We can solve for the labor cycle time.  55 seconds of planned cycle time * 3(people) = 165 seconds of total labor. So we need to get that 180 seconds down to a little less than 165 seconds.

Now we have a challenge. We need to save a bit over 15 seconds of cycle time. That might seem daunting. But we don’t have enough information (the current condition) to know where to begin. Then we can establish the next target condition and get started making things better.

These types of questions bother me because they imply all of these things are fixed, and they imply we run “as fast as we can” rather than “as fast as we must.”

Edit: Today I saw two more searches for:

total work content divided by slowest machine cycle time

so it looks like at least two others are working on the same assignment.  🙂

Thoughts?

Interesting Question about Cycle Time

An interesting search landed someone on the site recently. Here it is:

a machine is producing 55 parts in one hour. what is the cycle time for each part.

Likely this is someone Googling his homework question, but I’d like to take apart the question and discuss it. If this is a homework question, I would contend that the likely “correct” answer is wrong.

Take a pause and think about it for a second. How would you reflexively answer this question?

 

 

Someone encountering this question is likely to simply divide the 55 parts of output into the 60 minutes of elapsed time. Doing that, we get something just over 65 seconds per part.

Which is interesting, but it isn’t the cycle time per part. It is the average rate of production, but it isn’t the cycle time.

I contend you don’t have enough information to answer the question. To really do that, you need to get your safety glasses and hearing protection, go down to the machine with a stopwatch (I’d suggest one with a lap function) and click off the elapsed time interval between each and every part as it come off the machine.

Why?

Well… let’s say that the machine is actually running at a cycle of 55 seconds / part when it is actually operating, but there are frequent jam-ups that the operator has to clear.

Isn’t that a completely different story than running smoothly with one part coming off every 65.45 seconds?

Think about it.

Notes From Day 2 of Kata-Con

Perfection is the enemy of progress.

  • The longer it takes, the higher the expectation.
  • The higher the expectation, the longer it takes.

My thoughts: I’ve seen this a lot. It is magnified when the leaders are detached from the process.

Process improvement is messy, and if the leaders aren’t comfortable with that messy process, they develop unrealistic expectations of what “progress” looks like.

The people getting the work done, meanwhile, end up working hard to manage those expectations. They actually conceal problems from the boss, for fear of him misinterpreting problems-that-must-be-solved with my-people-don’t-know-what-to-do.*

Trying to layer Toyota Kata over the wrong organizational structure will overwhelm people.

The organizational structure follows necessity. This lines up with Steven Spear’s research.

The organizational structure must match the needs of the process, and the target condition for learning.

If your supervisor has 20 direct reports, it is unlikely he will have the time to work on improvement in a productive way. Toyota’s team leader structure is specifically engineered for improvement, development, and getting a car off the line every 58 seconds.

 

Improvement takes time and people.

The End.

This isn’t free, nor can you calculate an ROI ahead of time. Get over it.

Start with what you MUST accomplish and look at what is required to get there. It doesn’t work the other way around.

If you don’t continually strive, you die.

If you aren’t striving to go forward, you are going backward.

My thoughts: I make the following analogy: Continuous improvement is like a freezer. There is never a time when you can say “OK, it’s cold enough, I can unplug it now.” You must keep striving to improve. Without the continuous addition of intellectual energy, entropy takes over, and you won’t like the equilibrium point.

All of our failures have come to good things.

My thoughts: By deliberately reflecting and deliberately asking “What did we learn?” you can extract value from any experience. The way I put it is “You have already paid the tuition. You might as well get the education.”

We had sponsorship challenges as the leaders caught up with the people.

My thoughts: Yet another instance of the leaders falling behind the capability of their people. When the people become clear about what must be done, and just start doing it, the only thing an uninformed leader can do is either get out of the way or destructively interfere.

People don’t like uncertainty. Kata deliberately creates uncertainty to drive learning. You have to be OK with that.

My thoughts: Another expression of the same point from yesterday.

“Learning only” has a short shelf life.

“Cool and Interesting” is not equal to Relevant.

Those are the words I wrote down, rather than the words I heard. The key point is that you can, for a very short time, select processes to improve based on the learning opportunities alone. But this is extra work for people. The sooner you can make the results important the quicker people get on board.

A business crisis should not stop improvement or coaching. Does it?

My thoughts: This is a good acid test of how well you have embedded. When a crisis comes up, do people use PDCA to solve the problem, or do they drop “this improvement stuff” because they “don’t have time for it.” ?

Inexperienced 2nd coaches coaching inexperienced coaches coaching inexperienced learners… doesn’t work.

A lot of companies try to do this in the interest of going faster. Don’t outrun your headlights. You can only go as fast as you can. Get help from someone experienced.

Just because you have gone a long way doesn’t mean you can’t slip back. You must continue to strive.

The “unplug the freezer” analogy applies here as well.

You don’t have to start doing this. But if you choose to start, you may not stop. You have to do it every day.

Don’t take this on as a casual commitment, and don’t think you can delegate getting your people “fixed.” (they aren’t broken)

Everybody gets it at the same level. Senior managers tend to lose it faster because there is no commitment to practice it every day at their level.

Awareness is a starting point, but not good enough. A 4 hour orientation, however, is not enough to make you an expert… any more than you can skim “Calculus and Analytic Geometry” and learn the subject.

Results do get attention.

“I’ll have what she’s having”

But don’t confuse results with method.

My challenges to the plant managers weren’t about P&L or service levels. They were about moving closer to 1:1 flow, immediate delivery, on demand.

Challenges must be in operational terms, not financial terms.

Move from “These are the measures, and oh by the way, here is the operational pattern” – to –> “This is the operational pattern I am striving for. and I predict it will deliver the performance we need.”

Gotta catch a plane. More later.

 

______________

*When I was in the Army, we got a new Battalion Commander who listened to the logistics radio net, where the staff officers discussed all of the issues and problems that had to be solved. He would jump to a conclusion, and issue orders that, if carried out, would interfere with getting those problems solved.

Although he spoke of initiative and taking action, his actions revealed he wasn’t willing to trust us to let him know if there was a problem we couldn’t handle, and expected perfection in execution in situations that were chaotic and ambiguous.

We ended up finding an unused frequency, and encrypting our traffic with a key that only we shared, so the commander couldn’t hear us. Yup… we were using crypto gear, designed to keep the Soviets from hearing us, to keep our boss from hearing us.

As the information channels to him slowly choked off, he was less and less informed about what was actually happening, and his orders became more and more counter-productive, which in turn drove people to hide even more from him.

This, I think, is a working example of “getting bucked off the horse.”

Notes From Day 1 of Kata-Con

I’m attending the Toyota Kata Summit in Fort Lauderdale. We’ve completed Day 1. Here are some notes I took. I plan to expand on some of them later.

Experiment your way forward vs. decide your way forward.

My thoughts: We like certainty. We like a plan we know will work. Unfortunately a plan we know will work is usually just a plan we have convinced ourselves should work. But we have a hard time distinguishing the difference. Such is our desire for certainty – a strongly held opinion or feeling becomes a fact.

We don’t know how it will go. We have to get comfortable with ambiguity if we want to move beyond what we already know.

Until you understand the mindset of uncertainty, you can’t teach anyone else.

My thoughts: This is probably the most foundational qualification for a manager who aspires to become an improvement coach. The improver / learner won’t know the answers.. and neither will you. You have to be very OK with that. If you aren’t, then you’re just telling people what to do, and nobody is learning anything.

Until you try, there is no baseline for learning or coaching.

My thoughts: At the start of a ski lesson, the instructor had each of us ski 50 yards or so down the hill while she watched from below. She asked us to just ski down to her. Of course, she observed.

Then each of us was individually coached on something to practice… a drill or technique that would correct one deficiency in our form.

She skied down another 50 yards, and observed us again. If we were not performing the drill correctly, she corrected until we were performing it correctly. Then our task was to practice.

Asking “What is your target condition?” is asking the learner to demonstrate his technique and understanding. For the coach, the idea is to get them to try so you have a baseline for coaching.

Warning! Be ready for empowered employees!

If a manager with only an “awareness” level of understanding enters this space, he’ll either deflate the team with inept coaching, or will get bucked off the horse he isn’t good enough to ride. The leaders can’t do this from behind. You can’t simultaneously have empowered, creative team members and maintain control. (Sounds a bit like something Heisenberg came up with…)

I am coaching (by giving direction).

No you aren’t.

My thoughts: Actually this note was my thought triggered by something someone said. But I’ve seen senior managers who want to be “coaches” and then redefine “coaching” to mean “tell people what to do.” Doesn’t work like that.

The 5 questions are a jig. The questions on the card allow you (the coach) to listen because you don’t have to think about what question to ask next.

Some days big up. Every day little up. Please try. Do your best. Until you take first step, you cannot see next step. – Toyota coordinator (master coach).

Scientific Improvement Beyond The Experiment

“How do we deploy this improvement to other areas in the company?” is a very common question out there. A fair number of formal improvement structures include a final step of “standardize” and imply the improvement is laterally copied or deployed into other, similar, situations.

Yet this seems to fly in the face of the idea that the work groups are in the best position to improve their own processes.

I believe this becomes much less of a paradox if we understand a core concept of improvement: We are using the scientific method.

How I Think Science Works

In science, there is no central authority deciding which ideas are good and worth including into some kind of standard documentation. Rather, we have the concept of peer review and scientific consensus.

Someone makes what she believes is a discovery. She publishes not only the discovery itself, but also the theoretical base and the experimental method and evidence.

Other scientists attempt to replicate the results. Those attempts to replicate are often expanded or extended in order to understand more.

As pieces of the puzzle come together, others might have what seems to be an isolated piece of knowledge. But as other pieces come into place around them, perhaps they can see where their contributions and their expertise might fit in to add yet another piece or fill in a gap.

If the results cannot be replicated at all, the discovery is called into serious question.

Thus, science is a self-organized collaborative effort rather than a centrally managed process. All of this works because there is a free and open exchange among scientists.

It doesn’t work if everyone is working in isolation… even if they have the same information, because they cannot key in on the insights of others.

What we have is a continuous chatter of scientists who are “thinking out loud” others are hearing them, and ideas are kicked back and forth until there is a measure of stability.

This stability lasts until someone discovers something that doesn’t fit the model, and the cycle starts again.

How I Think Most Companies Try To Work

On the other hand, what a lot of people in the continuous improvement world seem to try to do is this:

Somebody has a good idea and “proves it out.”

That idea is published in the form of “Hey… this is better. Do it like this from now on.” image

We continue to see “standardization” as something that is static and audited into place. (That trick never works.)

What About yokoten. Doesn’t that mean “lateral deployment” or “standardize?”

According to my Japanese speaking friends (thanks Jon and Zane), well, yes, sort of.  When these Japanese jargon terms take on a meaning in our English-speaking vernacular, I like to go back to the source and really understand the intent.

In daily usage, yokoten has pretty much the same meaning [as it does in kaizen] just a bit more mundane scope…along the lines of sharing a lesson learned.

Yokogawa ni tenkai suru (literally: to transmit/develop/convey sideways) is the longer expression of which Yokoten is the abbreviation.

Yoko means “side; sideways; lateral. Ten is just the first half of “tenkai” to develop or transmit. Yokotenkai..

If you take a good look at the Toyota internal context, it is much more than just telling someone to follow the new standard. It is much more like science.

How the Scientific Approach Would Work

A work team has a great idea. They try it out experimentally. Now, rather than trying to enforce standardization, the organization publishes what has been learned: How the threshold of knowledge about the process, about a tricky quality problem, whatever, has been extended.

We used to know ‘x’, now we know x+y.

They also publish how that knowledge was gained. Here are the experiments we ran, the conditions, and what we learned at each step.

Another team can now take that baseline of knowledge and use it to (1) validate via experimentation if their conditions are similar. Rather than blindly applying a procedure, they are repeating the experiment to validate the original data and increase their own understanding.

And (2) to apply that knowledge as a higher platform from which to extend their own.

But Sometimes there is just a good idea.

I am not advocating running experiments to validate that “the wheel” is a workable concept. We know that.

Likewise, if an improvement is something like a clever mistake proofing device or jig (or something along those lines), of course you make more of them and distribute them.

On the other hand, there might be a process that the new mistake-proofing fixture won’t work for. But… if they applied the method used to create it, they might come up with something that works for them, or something that works better.

“That works but…” is a launching point to eliminate the next obstacle, and pass the information around again.

oh… and this is how rocket science is done.

Edit to add:

I believe Brian’s comment, and my response, are a valid extension of this post, so be sure to read the comments to get “the rest of the story.” (and add your own!)

The Personal Challenge of One-by-One

I got a cool model kit of the 1903 Wright Flyer for Christmas, and am in the process of assembling it. Each wing (top and bottom) has two spars connected by 38 ribs. (To give you a sense of the size, the wingspan of the model is just over 30 inches).

FlyerModelWing

Each of the 38(x2) ribs requires the following steps:

  1. Cut the laser cut part from the sheet.
  2. Sand the ends smooth with an emery board. Fit check between the spar.
  3. Sand the burned wood from the top edge with an emery board (outside curve).
  4. Sand the burned wood from the bottom edge (inside curve) with a piece of fine sandpaper wrapped around a round hobby knife handle.
  5. Sand the burn marks off the flat side with the emery board.
  6. Glue the front end to the front spar.
  7. Glue the back end of the previously done rib to the rear spar. (give the front glue joint time to set)

It was amazingly tempting to just cut them all out, the sand all of the ends, then sand all of the top edges, then sand all of the bottom edges, then sand all of the flats, then glue them all into place. That would have felt like it was faster.

But no matter what order I did it in, I had to repeat steps 1-7 38 times, there wasn’t any way around that. And yes, I picked up, and put down, the tools and glue bottle 38 times by doing it 1:1. But I also picked up on mistakes that I had made only once, and could check and adjust my technique as I went to ensure everything was fitting together the way it should be.

I could also more easily cut things loose when a little glue stuck the spar to the jig. It’s easier to get the knife under one stuck rib. (I only glued my fingers to the wood a couple of times, and only just a little. *smile*).

I know this is old stuff to most of my readers, but sometimes it is good to come back to the fundamentals and experience that 1:1 feels slower even though it isn’t.

Does Your Solution Have A Problem? Does Your Problem Have A Customer?

Javelin.com is a site with a few good tools centered around startup product development. (“Lean Startup”). I really liked their tutorial around the “javelin board” which is a vertical PDCA record specialized for testing product ideas.

In the tutorial, the phrase that really got my attention was this:

“Not all solutions have problems, and not all problems have customers.”

If you are a regular reader, you know one of the questions I ask frequently is “What problem are you trying to solve?” This is especially important if the proposed solution is a “lean tool.” For example, “there is no standard work” is not a problem, per se. I know lots of companies that do just fine, and have more than doubled their productivity before work cycles ever emerged as something to work on. “What obstacle are you addressing now?” is a question we ask in the Coaching Kata to explore the learner’s linkages between the proposed solution, the problem (obstacle), and target condition. The obstacle itself is a hypothesis.

The javelin board process first ensures that (1) you know who the customer is and (2) that you validate that the problem you THINK they have is one they ACTUALLY have… before you go exploring solutions.

Remember as you watch this, though, that the process isn’t different from the Improvement Kata. It is just a specialized variant. The underlying thinking pattern is totally identical… and the problem Toyota Kata is trying to solve is “We have to learn this thinking pattern.” Once you understand the pattern, and apply it habitually, then these variations make perfect sense. On the other hand, if you don’t understand the underlying pattern, then these variations all look like a different approach, and you’ll end up wrestling with “which one to adopt.”