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5 Tips for Video Taping Others

I’ve recently been involved with a SMED (single minute exchange of dies) kaizen event. The event itself was extremely effective and tons of fun… and while I could share the specifics of the event with you I won’t.

Instead, I want to focus on one particular part of the kaizen that I feel greatly attributed to our success – the video taping process.

Specifically I want to share some tips that may help you out if you decide to use video in the future.

1. Get Permission

First of all, before you even think about rolling video on someone… be sure to get their permission and their manager’s permission.

In some cases it’s probably not a bad idea to let human resources know as well. If you work in a union environment or in certain parts of the world video taping may or may not be allowed.

2. Talk to the Operator and Explain What You’re Doing

Next, once you have permission you need to spend some quality time with the “talent” meaning the person you plan to tape.

During this time you must explain why you are taping them, how the footage will be used, and how you are not out to catch them making a mistake.

In many cases an operator will feel a tremendous amount of anxiety when being video taped so please take the time to put their mind at ease.

3. Go to Gemba

Now, there are a few ways to go about recording the video. You can set the camera up in such a way as to see the entire process. This method probably helps relieve the stress of the operator a little.

The downside to this approach is you are often limiting yourself as to what you can see. For example, it may be nice to zoom in once in awhile. Also, if you are watching a process like a CNC lathe it may be difficult to capture everything from far away (I learned this the hard way).

With this said, I am personally a fan of getting as close as possible while not being in the way to record footage.

4. Have their Colleague Run the Camera

Another tip that has worked well for me is to ask one of the operator’s colleagues, preferably someone they really like, to operate the camera. This helps relieve anxiety and can even make the process fun for all involved.

Further, the “friend” may be quite familiar with the process being recorded in which case they can offer a small narration as to what is happening. This makes the analysis of the video tape much easier.

5. Involve the Operator in Analysis

Finally, it is absolutely critical to include the operator in the analysis of the video tape. The main reason is they are the best person to help you identify the various “elements” of the process. Also, they’ll likely have the best ideas for improving the process once you have taught them the basic principles of SMED.

What about you?

These are just a few tips I’ve learned… what video taping tips do you have?

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Seek and Destroy (Muda)

(electric guitar plays)

Alright!

Scanning the scene
in the city tonight
We’re looking for you
to start up a fight
There’s an evil feeling in our brains
But it’s nothing new
you know it drives us insane.

Back in the Day

Ah yes, for some of you these lyrics likely bring back some memories. They do for me. You see, as a young man I was, how should I say, far more rebellious and wild than I am today. And believe it or not… I used to belt out these very lyrics as the lead singer of my heavy medal rock band – crazy hair, earring and all. I’m dead serious.

Seek and Destroy Muda

For those that aren’t aware the song lyrics above are from the song “Seek and Destroy” by Metallica.

I actually heard this song a few days ago and got to thinking that while I’m pretty sure James and the boys never meant for this little ballad to describe how we lean and six sigma folks should set off to attack things like muda (waste)… it actually does the job well.

I mean we should always be looking to pick a fight with muda – any time, any place.

And while I am not sure evil is the first word I would use to describe the optimal mindset as we go to battle with muda… let’s go with it. I mean if we despise muda, and we should, evil probably works.

And finally, muda is nothing new. People have been battling it for many, many years.  And for some (see Big 3) muda can definitely bring on feelings similar to insanity if not dealt with properly.

Running,
On our way
Hiding,
You will be
Dying,
One thousand deaths
Running,
On our way
Hiding,
You will be
Dying,
One thousand deaths
Searching,
Seek and Destroy
Searching,
Seek and Destroy (MUDA)!

How to Create Meaningful Safety Graphs

Creating meaningful charts and graphs for safety related issues can be hard, not to mention confusing. It doesn’t have to be. In this article I will share a technique that may help bring some clarity to the situation.

The Wrong Approach

First, let’s assume a company tracks the number of accidents per month. For the sake of an example let’s use this totally fabricated data set:

  • Jan-07: 0
  • Feb-07: 1
  • Mar-07 : 0
  • Apr-07: 0
  • May-07: 0
  • Jun-07: 1
  • Jul-07: 1
  • Aug-07: 0
  • Sep-07: 0
  • Oct-07: 0
  • Nov-07: 0
  • Dec-07: 1
  • Jan-08: 0
  • Feb-08: 0
  • Mar-08 : 0
  • May-08: 1
  • Jun-08: 0
  • Jul-08: 0
  • Aug-08: 0
  • Sep-08: 1
  • Oct-08: 0
  • Nov-08: 0
  • Dec-08: 1

With this data, some may attempt to create a c chart. When they do they get something that looks sort of like this.

c chart of Safety Rate

The upper control limit is 1.959 and the measure of central tendency is 0.304. Friends, this graph is pretty much useless. There is really no way of determining if things are getting better, worse, or staying the same.

A Better Approach

A better approach would be to somehow convert this data into a yearly rate. There are a number of formulas you can use to do this… but one I quite like is to simply count the days between accidents and multiply is by 365.

For example, the first accident (in our made up data set) happened on February 8, 2007 and the second accident occurred on June 16, 2007. This means there were 128 days between accidents.

So, our annual accident rate could be calculated as follows: (1 accident/128 days) * (365 days/year) = 2.85 accidents per year.

When we work the math for the rest of the data we see something like this.

  • 8-Feb-07, first accident
  • 16-Jun-07, 128 days between accidents, rate = 2.85
  • 10-Jul-07, 24 days between accidents, rate = 15.21
  • 17-Dec-07, 160 days between accidents, rate = 2.28
  • 1-May-08, 136 days between accidents, rate = 2.68
  • 6-Sep-08, 128 days between accidents, rate = 2.85
  • 11-Dec-08, 96 days between accidents, rate = 3.80

Now, by using the rate data we can create an Individuals and Moving Range Chart (I-MR) that looks something like this.

I-MR Safety Graph

This graph is far more powerful than the c chart. From this I-MR chart we can see that we had a blip early on but have since leveled off.

In other words things are pretty much staying the same. And since we’re talking about the safety of our workers the fact things are moving sideways – averaging around 5 accidents per year – is probably cause for strong action in most companies.

Not the Only Way

As I mentioned, this is not the only way to calculate an annual accident rate. With this said, I would be very interested to hear how your company goes about this.

Management Improvement Carnival #46

I have the honor of hosting the 46th edition of the management improvement carnival.  So without further delay here are some of my favorite articles from the past few weeks.

The Right Way to Calculate Optimal Crew Size

Optimal Crew SizeHere’s the situation… the cycle time to produce one unit in our widget making factory is 300 seconds and the takt time for this product is 50 seconds per piece. In other words, in order to satisfy customer demand we need to produce a finish unit every 50 seconds.

How Many People?

OK, this is straight forward enough… but the next question is how many people do we need in the cell? One of the team members remembers hearing about some formula that looked at the ratio of cycle time to takt time to come up with the, so-called, optimal crew size.

Well, by taking 300 seconds (cycle time to produce one part) over 50 seconds (takt time) the team figured they needed 6 people in the cell. Is this correct?

Not So Fast

Well, as Lee Corso often says… “Not so fast my friends.” You see in order to accurately determine the optimal crew size the team needs a little more information.

Instead of stating the cycle time is 300 seconds, the team must first understand how much of that 300 seconds is “manual” cycle time – or the time an operator is actually needed – and how much is “automatic” cycle time – or the time the operator is technically not needed (such as when they hit the start button and commence reading their newspaper).

The Real Calculation

Now then… back to our widget factory. After some quick time studies the team learned that the manual cycle time is 100 seconds and the automatic cycle time is 200 seconds.

So, when they divided the sum of the manual cycle time – 100 seconds – by the takt time – 50 seconds – the optimal crew size came to 2 people (instead of 6 when the total cycle time was used).

Moral of the Story

So, the moral of the story is to calculate the optimal crew size of a work area by dividing the sum of manual cycle time by takt time. Of course, at this point the fun has just begun as the team must now determine what those 2 people will actually do! But let’s save that for another discussion.

Is this how you calculate optimal crew size in your organization?

Turn off the Lights

Turn off the lightsWalmart is in the news with their new logo.  Something that isn’t getting as much press is a new thing Walmart is also beginning to do in their stores… turn off the lights.

Where are the waffles?

I was recently in my local Super Walmart wondering why the whole frozen food aisle was dark.  Then as I walked down the aisle to find the frozen waffles (my kids love them) the lights starting coming on in each freezer as I approached them.

It seems Walmart is making an effort to conserve energy and I applaud them for it.  We bloggers are quick to pummel companies like Wally World for their supply chain antics… but when they do something good I think we should recognize them for it.

The Green Japan

During my recent trip to Japan with Gemba Research one of the things I noticed was how energy focused all the companies we visited were.

At Toyota, for example, when the workers went on break they turned off the lights in their area.  Such a small thing likely provides huge overhead savings for Toyota and more significantly the environment.

What about you?

What about you or your company?  Do you turn the lights off when people aren’t around?  What other “green” things do you try to do in order to make our world a better place?

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Ban the Stop Watch!

Ban the Stop WatchAllow me to introduce Joe, the plant Industrial Engineer. Joe is a nice boy fresh out of college.

On this particular day old Joe comes popping out of his cubicle in his Dockers and white polo shirt holding a clip board and stop watch.

Joe then rolls out to the shop floor and spots his victim – a young lady about 22 years old named Sherry.

Sherry is a nice girl trying to do the best she can. She received a whopping 20 minutes training and was set on her way assembling product.

Blood Pressure Rises

The next thing poor Sherry knows old Joe is in front of her fondling his stop watch. He explains he is collecting data for a value stream mapping exercise.

Sherry has no clue what value stream mapping is and can’t take her eyes and mind off Joe’s stop watch. She’s also getting a little freaked out the way he keeps fondling it and smiling (his stop watch).

Joe goes on to explain, “Just work as if I’m not here. I am not timing you… I am timing the process.” Sherry isn’t buying it. She is a shy girl and is now so nervous her hands won’t stop shaking. Sherry is in great shape but begins a nervous sweat down the small of her back.

The next thing she knows Joe yells “START!” She does her best to assemble the product. Once she completes it Joe slams his finger down on the stop watch and quickly writes something down on his piece of paper.

This cycle goes on for what seems like eternity. While Sherry eventually settles down she never performs her job as well as she can. She is just too nervous and anxious.

Thanks, Sherry

Finally, Joe collects all the data he needs. He quickly thanks Sherry and rolls back into the land of cubicles. Sherry still has no clue what the data is for and wonders if she did good or bad?

Nonetheless, Sherry breathes and sigh of relief and quickly settles right back into her normal groove (if only he could time me now, she thinks).

While I may be over dramatizing this (maybe not) I’ve been Joe before. Well… I never fondled my stop watch!  But I’ve stood in front of many people with stop watch and clip board in hand.  And I’m sure I’ve been the cause of lots of high blood pressure along the way.

The Alternative

Then I learned a trick.

Instead of pummeling people with a stop watch I simply went out and over explained what I was doing and why I needed to collect some cycle times.

Then, with their permission, and their manager’s permission, I set up a video camera and let it roll for a few hours. I explained that I didn’t want to make them nervous standing over them with a stop watch and that I’d like their help collecting the data once the video taping was done.

Sure, people are still a little nervous for the first few minutes. But after 10 minutes or so they normally forget all about the camera and begin to work normally.

Involve them

Once we have all the footage we need I ask them to watch it with me. We collect cycle times (turning the little timer on makes this a breeze) and also talk about how we could improve the process. Most operators really appreciate this once they realize you are there to help them do their job better.

And once you get the operator’s to this point the battle is nearly won. Not only will they let you tape them again and again they will start to think as they work. They’ll think about their every move and how they could possibly do things better.

And while thinking is really good… the best part of this new process is people like Joe will stop freaking people out with all their freaky stop watch fondling.

What about you? Have you had any luck using video cameras? What about stop watches? No fondling I trust?

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Calculating Optimal Crew Size in Mixed Model Cells

Calculating Crew SizeI have a question for you. How would you staff a cell that produces multiple products, all with varying cycle times?

In this article I will offer my thoughts and am excited to hear your comments as to how you would (or do) approach it in your organization.

And while I will be taking a manufacturing stance in this example, this topic definitely applies to other areas as well (e.g. the office).

Cycle Time Assumptions

Let’s assume, hypothetically speaking, we have developed a u-shaped cell were material flows counter-clockwise.

Let’s also assume, for the sake of this example, there are 5 similarly sized products produced in the cell.

The total manual cycle times (e.g. the time operators are needed) to produce each product are as follows.

- Product A: 5.1 minutes
- Product B: 6.8 minutes
- Product C: 4.9 minutes
- Product D: 7.9 minutes
- Product E: 3.9 minutes

We’ll also assume there is no auto or machine time required to assemble these units. Therefore, the average cycle time for the 5 products is 5.72 minutes.

Demand and Takt Time Assumptions

Now then, let’s also assume that on this particular day our “make to order” model cell is asked to produce the following.

- Product A: 23 units
- Product B: 26 units
- Product C: 3 units
- Product D: 94 units
- Product E: 14 units

In total, the cell must produce 160 similarly sized units. Assuming 8 net working hours (480 minutes) are available in the day our takt time comes to 3 minutes per unit (480 minutes / 160 units).

For the sake of this example, we will also assume no changeovers are required as we switch between products.

Calculating the Crew Size

Let’s get to the million dollar question. How should the team determine the optimal crew size for this particular day?

We know that the formula for optimal crew size is the sum of manual cycle time / takt time.

However, since we are not producing one product (like most of the lean books present us with) it’s not quite as straight forward.

If they use the average cycle time for the units our optimal crew size comes to 1.91 operators, which they round to 2 (5.72 minutes / 3 minute takt). Using this approach the team would staff the cell with 2 people, splitting the work up evenly.

Would this work out? I vote no.

Weighted Average Cycle Time

Since the team is not working with an even number of units averaging is the wrong thing to do, in my opinion. Asking these two people to succeed (without overtime) is the perfect example of muri.

Instead of taking the average, the team would be better served by taking a “weighted average” of the cycle times. This is easy to do in Excel using the “SUMPRODUCT” command. Here is how this particular example is being worked out in MS Excel.

When we take the weighted average, which accounts for the fact the team is asked to produce far more product D’s than anything else, we learn the weighted average cycle time is 6.91 minutes.

Weighted Average Crew Size

If we use the weighted average cycle time in the formula our optimal crew size comes to 2.3 people (6.91 minutes / 3 minutes takt).

This is to say that more than 2 people are needed in the cell on this particular day. Or, at a minimum, more than 2 people will be needed for parts of the day.

So, management should not expect 2 people to get the job done in the available time until some waste is eliminated and we are able to reduce the total cycle times.

What do you think?

What do you think? Do you (or would you) handle similar situations the same way? Or do you (or would you) approach it differently?

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The Efficiency Conundrum

Ah yes, efficiency. If there was ever a word more abused I’d like to know about it. I don’t think there is. OK, maybe utilization. But efficiency is really butchered. So let’s dig into the efficiency conundrum a bit this evening.

Efficiency

There are many formal definitions for efficiency. Just Google it if you don’t believe me. Here is how I like to explain it.

We are truly efficient when meeting the exact requirements of our customer while using the minimum amount of resources.

Apparent Efficiency

Next we come to what Taiichi Ohno called apparent efficiency.

Imagine an assembly line with 10 workers is able to produce 100 units per day. After some good old fashioned kaizen the team of 10 lads increases the daily output to 120 units per day. This is great, right? I mean they increased efficiency by 20%.

Mr. Ohno went on to explain that this is only a good thing if the customer is willing to buy this extra 20%. If they are not willing to buy the extra units all we have done is create the waste of overproduction. It’s nothing more than apparent efficiency.

True Efficiency

In this example, assuming the customer wants to keep buying 100 units per day, the only way to increase the true efficiency of the system is to figure out how to produce these 100 units with less than 10 people, or perhaps with less material (e.g. WIP).

Let’s assume the team is able to kaizen 2 people off the line. These folks can then be moved to another area that has to use overtime in order to meet customer demand.

Or perhaps you take the 2 strongest people from the line and form a RIG team (rapid improvement group) allowing them to go to another area to kick start some kaizen there.

Summary

So anytime we speak about efficiency we must be careful to not mistake true efficiency with apparent efficiency. One is naughty and one is nice. Let’s all do our best to not be naughty, OK?

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Press to Rationalize Chrysler Product Line

I am finally winding down on one serious road trip across the UK and Germany.  I head back home tomorrow.  I have slept in 6 different hotels the past 9 evenings.  It’s been crazy to say the least… especially given the fact we also launched the new website design during this same time!  For the record, I don’t recommend this strategy to anyone. 

I am looking forward to getting back on the saddle and writing more consistently, including finishing up our value stream mapping series.

Until then I wanted to share an interesting article I discovered over on Mark Graban’s blog.  The article discussed how James Press, former top Toyota exec now Chrysler boss, is beginning to make some changes.

At meetings with Chrysler’s dealers this week, Press revealed the beginnings of a plan to overhaul the troubled automaker’s lineup, trimming its 28 existing models to something in the neighborhood of 16 and adding new ones to fill existing gaps.

I really applaud Press for this. Mark questioned why it took a former Toyota man to figure this out. And it’s a fair question. But I think this type of problem (overlapping product lines) exists within many companies and may be one of the least appreciated strengths of Toyota.

I am especially impressed to see how Press is willing to sacrifice short term profits as they trim their product line.

“They will lose sales,” says John Wolkonowicz of Global Insight’s North American Auto Forecasting Group. “When they get rid of one model, they may only get back 20% of those buyers with their remaining cars.

Let’s see how this unfolds. Initially, I was not sure how to feel when hearing of Press leaving Toyota for the big bucks of Chysler. But I must confess… I’m pulling for him now. I really hope to see Chrysler turn things around. Time will tell.

Speak to you again soon back in the awesome USA!