Where Is “Culture” Created?

The idea of a continuous improvement culture, a problem solving culture, a kaizen culture, has been with us for decades. Ultimately it is what everyone says they want to create. Yet creating that culture remains elusive for all but a few.

I have noticed that, generally, when people describe the culture they are trying to create they do so in terms of what people do.

  • Leaders support the changes.
  • Team members take initiative.
  • People “see waste and eliminate it.”
  • People engage in problem solving.
  • Team members are fully engaged in improving their own work.

All of these things are true, but they miss the mark.

They are all the actions of individuals, sometimes interacting with a process.

But what is “culture?”

I would contend that “culture” is composed of the norms and rituals of how people interact with each other.

For example, prolonged direct eye contact (“staring”) is rude in some cultures, but not in others. Cultural norms define how subordinates interact with their bosses, where people sit, whether they bow or shake hands when they meet. Cultural norms define how problems are brought up – by whom and to whom – or if they are brought up at all. In some cultures, “losing face” is a disaster, in others, openly blunt honesty is highly prized.

Within a company, of course, there are additional layers. In addition to the social norms of the society at large, there are rituals and norms about how people interact at work.

Therefore, I would contend that “culture” is something which emerges from the pattern of interactions between people.

Why is it important to understand this?

Because if we are trying to change the culture, we should not be focusing so much on individual behaviors as we are coaching those interactions.

In “Toyota Kata,” Mike Rother describes structured, practiced behaviors that are the building blocks of a culture of continuous improvement. Like kata in martial arts, more sophisticated moves are built up from these fundamentals. But if you really look at it, the behaviors he describes are actually interactions.

What this means is that if we are trying to coach toward change, we need to be simultaneously coaching at least two people at once. In each of these interactions there is a request or stimulus, and there is a response. Each has a specifically defined “way to do it.”

Stepping back a bit, if I look at Steve Spear’s “rules-in-use” from “Decoding the DNA of the Toyota Production System” I see the same patterns. The rules actually define structure for how people and processes are interacting with one another in a way that drives continuous improvement.

Just a thought for the day.

Takt Time Is Local

There was an interesting search in my logs today.

[does a system have a single takt time or multiple]

I always figure that if one person is looking, others are also curious, so let’s address it and maybe there will be a better search result for the next Googlenaut out there.

Takt time is local.

It is calculated based on the demand from your customer.

This is a critically important concept because for takt time to be of any use, it has to be relevant to the people who are actually doing the work.

Example 1:

A factory has four final assembly lines that feed into shipping.

There are 420 minutes of working time in the day, and total aggregated leveled output is 350 units of production.

What is the takt time?

For shipping, it is straight forward. The customer takt time is:

420 minutes / 350 units shipped = 72 seconds

So for shipping to stay on task, their process must be capable of packing and loading one unit every 72 seconds. If they can’t consistently achieve that, they are falling behind.

What about the assembly lines?

You don’t know, because you don’t know what each of them is expected to produce. You could say that the factory takt is 72 seconds, but that does not pass the “so what?” test for the people working on those lines. But if you know that:

  • Line A’s leveled production is 75 units
  • Line B’s leveled production is 50 units
  • Line C’s leveled production is 100 units
  • Line D’s leveled production is 125 units

then you can determine a meaningful takt time for each of those lines.

  • Line A: 336 seconds
  • Line B: 504 seconds
  • Line C: 252 seconds
  • Lind D: 201 seconds

In reality, I am going to run these lines a little faster, but that is a different topic entirely.

Now we have a takt time that actually matters. It reflects the work cycle that must be achieved for that line to meet its obligation to its customers.

Example 2:

Upstream there are fabrication or other feeder processes. We have not yet gotten them into directly linked flow.

Process E feeds one part to each unit produced on Line B; and one part on every FIFTH unit on Line C. What is the takt time?

Line B needs 50 parts. Line C needs (100 / 5 =) 20 parts for a total of 70 units of output.

So Process I has a takt time of (420 minutes / 70 units of output =) 360 seconds.

Value stream mapping is very useful for untangling this. Hopefully you can also start to see one of the reasons we work so hard to level volume and mix.

This isn’t complex stuff, but on the other hand, if you oversimplify it then it becomes meaningless. Remember, this is not about OUTPUT, it is about testing whether your process has succeeded each and every time it is carried out. You can only do that if you know what is expected right then and there.

Go to your shop floor. Watch the work. Can you tell, with each unit of output, whether the team member was successful that time? (More precisely, can you tell whether you were successful in giving that team member what she needed to succeed!). If you can’t tell, I guarantee that the people doing the work have no idea, which means you are leaving them to guess. Not a good thing.

Home Appliance Utilization

Bob Hanover has a great little article about applying visual controls to household laundry on his “Thoughtput Solutions” site. (cute way to use TPS as the name for the company, too.)

The concept he outlines is the same one that is (or should be) used to trigger batch run points for kanban managed machines.

But I want to talk about machine utilization, especially of home appliances.

A modern home washing machine can cost anywhere from a few hundred dollars to over a thousand, depending on the make, model and features.

In a household like Bob’s, with two adults and seven kids, it makes sense to ensure this expensive machine is running to full capacity.

To keep the machine running, as each load is complete, the next one should be started, otherwise the machine will sit idle, and that would be bad… right?

Let’s do some math.

Typically a home washing machine completes its automatic cycle in just around half an hour.

Typically a home dryer completes its automatic cycle in around 45-50 minutes.

So, if you want avoid having the washer stand idle, what are you doing to do?

I’ll tell you what nobody does. Nobody keeps putting loads into the washer and piling up wet clothes to wait for the dryer. It is obvious that the dryer is pacing the process, and running loads through the washer faster than the dryer can take them would defy common sense. Wouldn’t it?

Yet we do this all of the time in factories.

Why?

Taktzeit

Now and again someone wonders out loud why, in this lexicon of Japanese terms, we have the word “takt.”

I had always passed along what I had heard – that the word was German, short for taktzeit and used in their factories to represent the pace of production. During WWII, the Germans had helped the Japanese set up more efficient production lines, and the word migrated into Japanese usage.

All of this had been anecdotal.

factory_floor07But today I ran across Alan Hamby’s phenomenally in-depth reference site on the German WWII Tiger Tank. Alan has extensive detail on the Henschel Tiger Tank Factory, and in some of the photos are signs indicating the number of the “takt” or production position.

But don’t stop here. Take a look at Alan’s site, and look at how this factory is set up and operated. This plant was set up to produce a Tiger I tank every six hours, and built a total of 1375 of them between 1942 and early 1945. Yes, there is a lot of waste, but bluntly, I have seen 21st century factories making products of similar size and complexity that are far worse than this.

The idea of pacing and balancing production is not new. By the time these photos were taken around 1943, the concept had been proven for over 20 years. Yet when I visit factories today this is a seemingly novel concept. I always wonder why today’s operations managers are not insisting on at least the efficiencies that were achieved by 1935.

Thanks to Alan for his kind permission to bootstrap from his research and use these rare photos here.

Just to be clear, though, having a pace for production does not make a line “lean.” Far from it. But it is a foundational element. It may not be sufficient, but it is (in nearly all cases) necessary. What makes it foundational element for improvement, however, is not so much the pacing and balancing aspect. Rather, the concept of takt time can be used as a way to structure improvement goals and targets in a way that is meaningful to the people doing the work.

We talk a lot (all to much, in my view) about metrics, but tend to think of the things management is interested in – like labor productivity. But the way you get labor productivity is to focus on the takt time, the total cycle time, and the stability of that cycle time. Those are the things that determine how much gets done by how many people. You can measure “labor productivity” all you want, but you can’t change it unless you get down another couple of levels. Fortunately (for us) Reichsminister Speer didn’t figure that out.

By the way, just to put things into perspective:

In 1943, Boeing Plant 2 was producing one B-17 bomber an hour, sixteen planes a day, six days a week. They did it by using a paced assembly line and continuously working to simply and improve the flow.

Press release – New LEI Book: “Building a Lean Fulfillment Stream”

I wanted to pass along this press release from the Lean Enterprise Institute.

I will be getting a copy and post a review after I actually read it.

[Edit: I read it, and decided not to post my review.]

One thing I am going to be looking for is how the proposed model implements PDCA to drive continuous improvement. There are lots of good schemes for building a fulfillment system out there. In the past, I have used a few pages in Chapter 4 of “Lean Thinking” as a solid, workable starting point for fulfillment streams that did just that. So I will be curious whether this book builds on that foundation. [Edit: It doesn’t.] Anyway – here is the LEI’s release for the book:

New Workbook Demonstrates Use of Lean Management to Rethink Supply Chains and Logistics

Building a Lean Fulfillment Stream, the latest workbook from the nonprofit Lean Enterprise Institute, shows how lean thinking converts “supply chains” into swift, smoothly flowing “fulfillment streams” while reducing the total cost of fulfillment.

Cambridge, MA, May 11, 2010 — Despite the substantial progress many organizations have made using lean management techniques to improve internal operations, they have paid little attention to launching lean transformations in their external links to downstream customers and upstream suppliers.

Now, in the pioneering new workbook, Building a Lean Fulfillment Stream, (Lean Enterprise Institute, May 12, 2010, $50.00) lean logistics veterans Robert Martichenko and Kevin von Grabe describe a proven approach for applying lean principles to supply chains and logistics.

Using the example company ABE Corp. as their model, the authors illustrate both the implementation process and the benefits to ABE’s bottom line from applying lean principles. Plus, they show how the conversion process is a win-win for every company along the supply chain. The narrative is supported by 41 charts and illustrations, including value-stream maps, calculation details, and financial analyses.

Readers will learn:

  • How to calculate the critical total cost of fulfillment so you make decisions that meet customer expectations at the lowest possible total cost, no matter where costs occur in the supply stream.
  • How to apply the eight guiding principles for implementing lean fulfillment, even when all the data and variables are not known.
  • The seven major types of waste in logistics and supply chains.
  • How a fulfillment stream council comprised of representatives from internal departments, customers, suppliers, and transportation providers critical guidance and support.
  • The “eight rights” used to measure perfect order execution.
  • What lean metrics to use to measure progress, such as why average days on hand of inventory is a better measure than inventory turns.
  • A method for collaborating effectively with customers.
  • How to identify waste in shipping, receiving, and yard management.

Building a Lean Fulfillment Stream: rethinking your supply chain and logistics to create maximum value at minimum total cost

– By Robert Martichenko and Kevin von Grabe

– Published May 12, 2010, Lean Enterprise Institute

– 111 pages; 41 charts and illustrations

– ISBN: 978-1-934109-19-9

– $50.00 (hardcover)

– Excerpts, author Q & A, bios, more: http://budurl.com/vamd

– Media: Chet Marchwinski, LEI, cmarchwinski@lean.org, 617-871-2930

Based on the workbook, the workshop Building the Lean Fulfillment Stream: Supply Chain and Logistics Management teaches supply chain and logistics managers the “must know” lean concepts and applications.

Robert Martichenko
Robert is an LEI faculty member and CEO of LeanCor, a third-party logistics provider dedicated to the application of lean principles throughout supply chain functions. He learned about lean working at Toyota Motor Manufacturing Indiana and has over 15 years of lean supply chain and third-party logistics experience. He is co-author of the business management book Lean Six Sigma Logisticsand the lean primer Everything I Know about Lean I Learned in First Grade. Robert also teaches global business at Saint Louis University’s John Cook School of Business.

Kevin von Grabe
Kevin is vice president of lean deployment LeanCor. His experience in materials management, transportation, and third-party logistics includes a greenfield start up at Toyota Motor Manufacturing Indiana. Kevin’s international experience includes operational start ups for Jabil Circuit at plants in Hungary and China.

Toyota Kata: Avoid Pareto Paralysis

A great key point comes out on page 124 of Toyota Kata by Mike Rother.

…a Toyota person once told me to focus on the biggest problem. However, when I tried to do this I noticed a negative effect: We got lost in hunting for and discussing what was the biggest problem. When we tried gathering data and making Pareto charts, it took a lot of time and the biggest problem in the Pareto chart was usually “other” which put us back into debating options. By the time we decided what the biggest problem was, the situation at the process had changed. This effect is called Pareto paralysis, and I encourage you to avoid it. Pareto paralysis delays your progress as people try to determine the “right” first step to take.

[…] it matters more that you take the first step than what the first step is.

I have seen this many times with my own eyes. It is a common problem when “problem solving” is taught as “application of the seven tools” and “correct” use of the tools becomes more important than understanding the problem or making actual progress.

Hirano, I believe, has been quoted as saying:

Waste often comes disguised as useful work.

That is what is happening here. The team thinks they are working to solve the problem when, in reality, they are still trying to decide what problem to work on. The gridlock may be driven by fear of working on the wrong problem. But in reality, there is no wrong problem, there is only the one that is in your way.

Here is something else I commonly see. When they discover “problem solving” many organizations want to immediately undertake large projects that involve “stretch goals” and breaking down complex issues. They look at operational metrics that are actually aggregated – total inventory, total lead time, productivity of the entire factory, total defect rates, total lead time through the system. While those metrics are nice to gage progress, they do not give you any actionable information.

Even worse is using averages. Averages aggregate even more, and “bad” tends to be countered by “good” in many average calculations. What is important is to look at each instance vs. an external, discrete, and objective standard or specification. Average defect rates tell you nothing at all about what to work on. But this unit had this defect, or this part dimension was this amount out of specification DOES.

Put another way, there are very few big problems. Big “problems” are the aggregated symptoms of many small problems.

This is good news and bad news.

The good news is that small problems can usually be understood, cleared and sometimes solved fairly quickly. The bad news is that it takes work to do this. The other bad news is that there isn’t any other way that actually works.

Doing a good job working on large complex issues requires engaging across the organization, time, and a high level of skill at understanding the situation, framing the problem, getting to causes, working on solutions, testing understanding, etc. Doing it well requires a mentor who is intimately familiar with the thinking behind problem solving.

This skill can not be gained in a “problem solving” or “A3” class, at least not one that simply walks the team members through the process once or twice. Skill comes from practice, and effective practice comes from starting simple, working in an environment where it is safe to experiment and to be wrong. This means working on shop floor issues that can be isolated from one another, the effect of a test or simulation can be seen immediately. The factory and production organization that Steven Spear describes in his research about Toyota is actually designed deliberately to facilitate this kind of work.

Another common mistake is setting up performance targets too early. If the processes are inherently unstable – if there is no sense of takt time, you are having problems with consistent quality or delivery, the first goal is simply to get to the point where you actually know how things are performing against an indicator of stability. Again, this is usually much simpler than setting a high level target and then trying to break down and stratify all of the issues out there. Set that stability target, study the process, and take on the disruptions as you see them. If there is a debate about which one to start with, then start with the simplest one so you can improve your capabilities.

In the end, it is about taking on problems as they come up, where they come up. That thinking is facilitated by the way you structure the flow, the work, and the organization itself. Get to the shop floor, stand in the chalk circle, and ask “What is stopping this team member from being successful right now.”

Expedited Boarding

Airlines have procedures to board from rear to front. They do this, they say, because it allows faster boarding. This makes intuitive sense, though I have never personally tested it.

The alternative is the “all rows, all seats” call with everyone boarding in random order.

With that understanding, why do airline gate agents consistently call “all rows, all seats” when the plane is running late and they are trying to make up time?

Posted from seat 12F, Delta 1510, 15 minutes after scheduled departure.

What Follows “Yes, but…”

I am in the process of (finally!) reading Mike Rother’s great book Toyota Kata. The book has already gotten great reviews out there, and I am not going to contribute a lot more to that dialog except to say I think it is the first substantial addition to community knowledge about TPS since Steven Spear published his dissertation in 1999.

As I go, I am taking notes of thoughts that are provoked, and I will share a few of them as they come up.

Early in the book, Rother makes a clear distinction between managerial systems that try to cost justify each and every activity, and those which have their focus on an ideal future state.

He cites a number of examples of how the dialog in these companies is shaped by this vision, or lack of it. This is one:

Almost immediately the assembly manager responded and said, “We can’t do that,” and went on to explain why. “Our cable product is a component of an automobile safety system and because of that each time we change over to assembling a different cable we have to fill out lot traceability paperwork. We also have to take to the quality department the first new piece produced and delay production until the quality department gives us an approval. If we were to reduce the assembly lot size from five days to one day we would increase that paperwork and those production delays by a factor of five. Those extra none-value added activities would be waste and would increase our cost. We know that lean means eliminate waste, so reducing the lot size is not a good idea.”

The plant manager concurred, and therein lies a significant difference from Toyota. A Toyota plant manager would likely say something like this to the assembly manager: “You are correct that the extra paperwork and first-piece inspection requirements are obstacles to achieving smaller lot size. Thank you for pointing that out. However, the fact that we want to reduce lot sizes is not optional nor open for discussion, because it moves us closer to our vision of one-by-one flow. Rather than losing time discussing whether or not we should reduce the lot size, please turn your attention to those two obstacles standing in the way of our progress. Please go observe the current paperwork and inspection process and report back what you learn. After that I will ask you to make a proposal for how we can move to a one day lot size without increasing our cost.” [emphasis added]

To this hypothetical Toyota manager, the ideal state is achieving one-by-one flow, on demand, in sequence, as requested, without waste. He sees the drive toward this ideal state as the method to drive the next problems to the surface which, when solved, will remove a round of waste from the process.

There are a number of key points to take away from this.

Avoiding waste vs. removing waste. The assembly manager is confusing the avoidance of wasteful activity from removing wasteful activity from the process. The large lot sizes are avoiding wasteful activity, but it is still there, lurking under the surface as a barrier to further improvement.

One-by-one flow as a crucial goal. In this example, the concept of one-by-one (or one piece) flow worked exactly as it should. The discussion, or attempt, to implement the next step in that direction revealed the next barrier that must be addressed on the way. Without the imperative to reduce lot size toward that ideal, these reasons, justifications, barriers, excuses prevail and the wasteful activity remains. Yes, its effect can be mitigated by larger batches, but applying that logic, why not make the batches even larger?

It isn’t about what waste you can remove. It is about what wastes must be removed to achieve the next target condition. Having this sense of the ideal to define the direction of progress focuses the team on removing the next barrier to higher performance. This keeps things on a path toward higher system performance. Contrast this to the classic “drive by kaizen” approach where we go on waste safari and then look for opportunities where waste we can remove the most easily. This results in a patchwork of improvements that rarely find their way to the bottom line.

Cost justification would say leave the waste there. The cost justification for reducing lot sizes comes primarily from the reduction of inventory holding costs. Unfortunately, unless the inventory is insanely expensive (like jet engines), that alone rarely justifies the effort. But this thinking also stops any further opportunities for improvement in their tracks.

On the other hand, if the goal is to drive toward the ideal of one-by-one in a way that does not increase cost, then once this single-day lot size is achieved, they would be asking “What will it take to get to half a day?” Eventually they will be asking about every part every day. And then true mixed one-item-flow.

At each juncture an important thing happens. They must confront the next problem, and the next waste in the system. They must find a way to remove that wasteful activity without increasing cost. Eventually they will be making one cable each takt time, and following that, making the cables and installing them immediately.

To get there all of the inspections and traceability paperwork requirements will either be removed as no longer necessary or will be built in to the process itself. How will that be done? I don’t know. Nobody knows. That is the point. We can’t solve all of the problems ahead of time, nor can we solve them before they are discovered. The path to the ideal state is vague and unknowable when you begin. It is revealed step by step, as you take those steps.

The key is to have faith that, among all of the people in your operation, someone will find a way to crack that next problem.

This is how you harness people’s creativity.

In his classic JIT Implementation Handbook, Hirano says to force one piece flow to reveal the waste in the system. That was in 1988. Rother introduces the critical human element into the equation. One piece flow is not an abstract concept, it is a critical guide for management decision making.

Rother goes on to make other examples. In each case, the tool or technique – such as takt time or leveling – specifies how we want things to work. That provides a baseline for comparison so we can see the problems we need to work on next.

Here is another example. Ironically, while Rother uses it in his book, I have experienced it in real life. The factory is trying to introduce leveling. They set up a stock of finished goods. They set up a kanban leveling box, and they set up a fairly well thought out process of leveling the demand on the production stock, allowing the inventory to absorb the ups and downs. Their rule is that if the inventory hits a high or low limit, they will take action and assess what is happening.

Then the email arrives – “A big order arrived, and flushed out our inventory, we had to catch up, what do we do?”

After doing what is necessary to recover the system, this was a great opportunity to look at why orders arrive in big batches. In this case, I suspect it was an artifact of the company’s distribution network. The plant is at a critical crossroads.

Each of these examples leads me to the same thought.

The “Yes, but…” and the “Now what?” situations are going to happen. They prove the system is working to surface the next problem to be worked on. The reply that follows decides the fate of your improvement process.

You can reply the way the Toyota manager did in Rother’s example, and work hard to improve your process.

Or you can buy the Basic Story that is presented, and in effect agree that no further improvement is possible on this process, or that “lean doesn’t work for us because [put your “unique situation” here]”.

Which do you do?

Public Announcement – Copiers and Privacy

This has nothing to do with lean thinking. I am just using my public forum here to make people aware of an issue that needs more attention.

According to this story:

http://www.wimp.com/copymachines/

photocopiers maintain a copy of every copy, every fax, every scan, every image on a hard drive. The images are not encrypted – or at least not protected against anyone with an IQ above 65 and a computer.

Think about the copier at your doctor’s office, your HR department, even the office copier you used to copy your personal papers or your tax returns.

When you go to Kinkos and use their copier… where does the image go?

Remember that most copiers today are also on the internet.

Start asking, and being aware, of who copies what where.

Now back to our regularly scheduled programming.

Are You Working to Takt?

What do your team members do when they complete their work cycle?

– Stop and wait until the takt time expires and the next takt cycle begins? Are you sure? How do they know when the next takt cycle begins? How do they know if they have completed their work cycle early? How early is simply “problem free” vs “leaving something out?” Do they know?

– Go ahead and start on the next unit? If this is the case, do you really think your team members have a sense of the takt time unit-by-unit? Or is your “takt time” just another way to say “work as fast as you can until we get the daily schedule done?”

What are the consequences for each of these approaches for daily kaizen and continuous improvement?