As I teach the principles of Lean Manufacturing to others, I include games that are both fun and also illustrate the concepts in a way that are memorable and solidifies the concepts more clearly in the student’s mind. There are many games that help better explain the sometimes counter intuitive concepts of Lean. One of those games is the Airplane Game.
The Paper Airplane Game
The paper airplane game is a simple exercise that illustrates in a visible and experiential way the difference between pull systems and push systems. In the videos below, they start with a craft assembly simulation for Round 1, where all 6 workers are used, and one person is the timer. This is an optional part of the simulation. A simpler version is to use two rounds: Mass production (Round 2) and Cellular Assembly (Round 3).
The game goes like this (starting with Round 2):
- 4 Workers
- 1 Manager
- 1 Material Handler
- 1 Timer
Collect data according to the table below:
The layout of the assembly line is as follows:
We will use the layout above for both Round 2Â and Round 3, but Round 3Â will have a slight difference in between workstations.
Paper Airplane Assembly
Planes are to be assembled according to the instructions below:
In Round 2, we will illustrate a push system. Watch the 18 minute video example below to see how to facilitate the Paper Airplane Game and help your audience see the difference between Push Production and Pull Production. Reminder that the first part of the video (Round 1) is an optional simulation around craft production.
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Welcome to the simulation portion of our Lean basics training. I wasÂ taught this paper airplane exercise when I was first learning Lean and I still use it today. I think it’s a great tool. First of all, it’s cheap because all it costs is a couple sheets of paper and maybe some post-it notes. I’ve seen some pretty complex tools out there, some expensive simulation tools and consulting [inaudible 00:00:25] out there. Some of them are excellent, but they cost a fortune.
The second reason why I like this simulation is everything you need to runÂ it is basically in your office already. You need office paper. You needÂ some post-it notes and some stop watches. You get six small chairsÂ together and you can learn basically a lot of the concepts that these moreÂ complex simulations have to offer.
The following point I want to make about this simulation is it serves as aÂ bridge for the rest of the simplex improvement lessons. Pay attention andÂ if you have problems following along, go ahead and download theÂ instructions off the site. As I mentioned, the paper airplane simulationÂ is really easy, but let me explain how it runs.
First of all, you need six total volunteers. Four will serve as workers.Â One will be a manager and one will be a material handler. Each run lastsÂ for five minutes and there’s something called an X plane. That will showÂ us how long it takes to build a plane from start to finish using differentÂ scenarios. While we’re running this simulation, we’ll be measuring a lotÂ of things.
First, we’ll be measuring space. You’ll likely be running this in anÂ office environment with tables, so space will be measured in number ofÂ tables used. The second thing is work in process. So, how many planes areÂ partially built at the end of five minutes? The next is good parts. HowÂ many of those that are fully complete do I, as a customer, consider doneÂ correctly?
Next, we have percentage of good. So, those number of done correctlyÂ divided by the total number of planes that they considered finished. Next,Â we have the lead time. That is the X plane that I mentioned earlier. HowÂ long did it take to build a plane from start to finish once I inserted theÂ X plane into the system?
Then, we have number of people. As I mentioned earlier, we start off withÂ six, but as the simulation goes on, they learn to decrease that number.Â Next, there’s time. All these simulations are going to run for fiveÂ minutes. Last, we have productivity, which is a measure of good partsÂ divided by people divided by time. For the start of this simulation, let’s follow historical flow. If you
recall, everything before Eli Whitney, everything was an art rather than aÂ science, so everything was craft-based. There were no standards, so if youÂ told someone to build you a rifle, they would you a unique rifle. For theÂ start of this simulation, we will tell them to build this plane. In fact,Â we’ll give them the model. Will they follow the standard? It’s up toÂ them. They usually do a pretty good job mimicking what this is, sort ofÂ like craftsmen do, but the standards really aren’t there. In this portionÂ of the exercise, we’re going to use all six workers to be craftsmen for us.Â Let’s see how this turns out.
Before we get started with the simulation, I’m going to demonstrate how toÂ build this paper airplane. Really simple. The first thing you do is makeÂ a fold down the middle. Then, you fold the nosepiece. Then, you fold theÂ wings. Then, you fold the tips, just two folds on each side. That’s it. So, this is the first run of the simulation. I was pretty fortunate to be able to find a group of undergrad students that were interested enough in Lean to volunteer for this exercise. I gave them the same lesson in history you previously saw and let them know that all six of them will be building planes from start to finish, like craftsmen. It still surprises me today to find out that companies out there pride themselves on using the centuries-old way of thinking. They literally have an individual or small team build a large, complex item, an automobile for Â example, from start to finish. Imagine how much training is needed for these craftsmen. If one of these amazing craftsmen were to win the lottery or retire, replacing them would take years.
Notice how much frustration is involved with learning to build even aÂ simple paper airplane from start to finish and notice how slowly they’reÂ being built. Companies Â using craft-based manufacturing go as far as toÂ pride themselves on taking months or years to deliver a product that isÂ quote “tailor-suited to you”. For some reason, this niche market theyÂ serve seems to not only accept but expect this as a necessary cost of highÂ quality. The reality is craft-based products are generally of lowerÂ quality than those that are Lean-produced, or even mass-produced becauseÂ there are no standards to which they are built. In this simulation and the two to come, I write an X on a blank sheet of paper and start a separate timer to see how long it takes to produce my special order. I allow them to continue to build for five minutes before I stop this portion of the simulation.
So, let’s review the metrics on the first run. We used four tables. There were five in WIP. They only produced four good planes and there were only 15% that were good. The lead time for the X plane was one minute. There were six people producing. The time was five minutes for the total run. Their productivity, which is good parts divided by people divided by time, was 0.133. So, not necessarily a bad start considering craft mentality, but productivity was horrendous. Let’s continue our historical flow and our simulations from mass-production. Then after our history lesson, I mentioned that Henry Ford was the father of mass-production, in that people like to villainize him based off of this. Mass-production is an excellent system and it is a huge step forward from craft-production. One of the downfalls of mass-production is the piece-part metrics. Workers are incentivized to produce a lot. In fact, they drive down the cost of production by producing a lot. So, if two items cost $100 to produce, it cost $50 per item to produce. If that same production cost of $100 were spread over 100 units, then each of those items only cost $1 a piece. Piece-part metrics actually incentivizes workers to produce more than needed, which is over-production, which is a form of waste you’ll learn later.
As a final step in the simulation, we’re going to organize into an assemblyÂ line so you’ll see the huge productivity gains we’ll get just from movingÂ from a craft-mentality basis to mass-production and an assembly line. Adam Smith discovered over two centuries ago, there are definite productivity gains to be made by dividing up tasks between workers. In this run, you can see that each worker only had a small component of the total plane to build. There are a couple reasons why this is better than having each worker build a complete plane from start to finish. The first is it speeds up the learning curve. It’ll take a while for me to learn to build this plane from start to finish, but if I only have to learn a fold or two, I can pick it up quickly. But, if the work is passed along an assembly line and each worker is limited to a small set of tasks, like repeatedly tightening a few sets of bolts, then you can train this pretty quickly.
Secondly, there’s that magical productivity gain that Adam Smith discoveredÂ from division of labor. When you divide up work, it’s easier for eachÂ worker to get faster and faster at his given set of tasks. When you set upÂ these micro-improvements, you’re building the product a lot faster than youÂ were before. I refer to this as magic because the sum of the parts isÂ actually less than the original total amount of time it took to build theÂ plane.
One downside to using mass-production is a high level of stress. TheÂ manager continues to push for higher volumes because this drives down theÂ per-unit cost. Each station is working independently and sending work toÂ the next station even though they’re not ready for it. This is called push-production and we’ll talk more about it later on this site.
Also, the material handler adds no value to the process. In a mass-production environment, work in process builds up quickly because there isÂ an incentive to produce more. Work in process in large amounts doesÂ nothing but tie up cash and cripples a company. It also makes the materialÂ handler appear to be busy when, in reality, his job function as well asÂ that of the manager, add no value to the final product. Because there isÂ so much work in process, my X plane is caught behind a log jam. This is
another downfall of mass-production. It is not designed to quickly respondÂ to rapidly changing customer demand.
So, let’s review our metrics for the second run. In this case, we onlyÂ used three tables. Work in process, there were 57 units. They producedÂ seven good planes. Seventy percent were good. The lead time for the XÂ plane was three minutes. There were six total people in the system.Â Again, we ran for five minutes. Productivity, in this case, good partsÂ divided by people divided by time, was 0.233.
Again, the benefits of mass-production over craft-production, they nearlyÂ doubled their good planes produced. The work in process was through theÂ roof, 57 compared to 5. You can also see that they had a huge productivityÂ gain from using mass-production. You can see a near 75% productivity gainÂ from the first to the second run.
For our last run of the simulation, we’re going to take Ford’s mass-production system and morph it into Lean-production. We’re going to focusÂ on quality at the source, level-loading, pulling, and pacing. This is whatÂ I mean by quality at the source. You can’t inspect quality. It has to beÂ built into the process.
So, this little jig here, make sure that every first fold is correctÂ because we noticed that the majority of the defects were happening early inÂ the process. With these three nails, if you lay the piece of paper on hereÂ and you know every single time, you’re getting a perfect fold. This isÂ what I mean by level-loading. You can tell from the second run, that thisÂ production line was not very well level-loaded. Worker one only had to doÂ one fold, whereas, worker four had to do four folds. Workers two and three
only had to do two folds a piece.
As a result of the imbalance, you can see that worker one had the least toÂ do. Worker four had the most to do, with four folds. Worker one could out-pace everyone and the majority of the WIP was caused by worker one. As a customer, I need planes every 24 seconds and the way this system is set up right now, they can’t make it because worker four takes about 32 seconds to complete his portion. This is where level-loading comes in. You can see that we divided all the folds pretty evenly across all the operators. You can also tell that they’ll easily be able to meet the customer demand of making a plane every 24 seconds.
For run three, the team decided not to use a material handler and a managerÂ because they were adding no value to the final product. The productionÂ line was reconfigured so every was sitting very close to one another. ThisÂ eliminated the need for the material handler. There were also post-itÂ notes placed between each work station. This was to prevent over-production.
Remember during the last run when there was a staggering 57 pieces of workÂ in process? These post-it notes prevent that. The simple production ruleÂ that the team agreed to was to only produce when the post-it note to theirÂ immediate right was not covered by a plane that was work in process. OnlyÂ when the post-it note was exposed by the next operator taking that piece ofÂ work in process could the previous worker begin working. This is calledÂ pull-production. This is in contrast to push-production you saw during theÂ last run.
This simple control eliminates the need for a manager, as the pace and theÂ amount of production is totally dictated by how often the customer pulls aÂ plane. Notice that with this control in place, the worst case scenario canÂ be three pieces of work in process at any given time. These concepts that Smith, Ford, and Toyota developed don’t have to limited to assembly. If you’re like most companies or hospitals, paperwork is another factor that no one pays attention to. It takes a long time for people working in this area to learn how to process orders or invoices.
Why not set these individuals up in a cell similar to this one? EachÂ worker would process just a component of the order or invoice and pass itÂ along. I’ve personally created numerous cells in office environments for order processing where people didn’t believe a work-cell concept applied. The results were huge gains in productivity and far fewer defects. Notice the slower and more controlled pace the operators are working in. They agreed not to push defects onto the next work station and to stop and fix defects as they find them. Luckily, the jig we built into station one has eliminated the majority of the defects. Even though they are not being managed and working at a slower pace, I noticed planes being completed every 24 seconds. Notice the previous two runs, there was no way to tell how often planes would exit the system. The X plane actually made it through the system in just under one minute.
Let’s review our metrics for the third run. You can see as far as space goes, they only used two tables because they were much more compact. Work in process was only three and that was controlled by the Kanban in between each station. They actually produced 16 good planes, which is nearly double what they produced by using mass-production. One hundred percent of the planes were good because of the quality at the source. Lead time was one minute. In predicatively, one minute, the X plane flowed through.
Number of people in the system was four. They ran again for five minutes.Â Their productivity, which is good parts divided by people divided by timeÂ is .8. You can see that even though they were working at a slower pace, by pulling and pacing, they were actually able to more than triple their productivity. They also were able to more than double the amount of good planes that they built and their quality was impeccable; 100%. This last run is optional. If you have some colored paper and some colored post-it notes, you can run this portion of the simulation. This portion of the simulation is just to show you that it can run with multiple types rather than just one single log. For this final run, we set up colored post-it notes that correspond to each of the four different plane models we’re making; red, yellow, green, and blue. An exposed red post-it lets the operator know that the final customer along the line pulled a red plane. Only the pulled color is replaced.
I also wanted to show you a U-shaped cell. This is traditionally how cells are set up. We’ll develop this further in the cell series, but workers are generally kept on the inside of cells to minimize walking between stations and to lend a helping hand when needed. Also notice that the cell can either expand or shrink depending on customer demand. If demand goes down for colored planes, this cell can run just as well with two operators as itÂ would with four, just at a slower pace. Here’s a summary of what we’ve learned. We learned that Lean has a very long history. I started the lesson at Adam Smith but some say it even pre-dates him. The reason I started with Adam Smith and went forward is because I want to show that Lean has a long history. It’s not just a flavor of the month or something that showed up in the last five years. Next we learned that Lean was developed through a [inaudible 00:14:42] learning process throughout history. We started with Adam Smith, we had Frederick Taylor contributing, Henry Ford, Kiichiro Toyota. Each man taking the previous contributors work and developing it a little more into what we know as Lean manufacturing today. We finally learned that about 60 years ago, Toyota began to formalize all this learning and put it into a comprehensive system that we know as Lean today. Finally I want to mention that Lean has many components. It is one business philosophy. Now this is broken down into easy to understand steps on this website, but it functions as [inaudible 00:15:15] Â comprehensive philosophy.