Reducing or eliminating waste (muda) is one of the approaches to lean manufacturing. Traditionally, Toyota uses seven types of waste. In the Western world, an eighth type of waste is also often used, namely “unused human creativity.” There is much discussion whether this is a good, useful waste to analyze or not. As I started to write this article, I saw this type of waste as not so helpful in lean manufacturing. Colleen Soppelsa, whose opinion I respect very much, on the other hand, sees it as a very helpful type of waste. Time to sort out my thoughts and reconsider the pros and cons of including “unused human creativity” in the lineup of the types of waste. Maybe by the end of this article I will change my mind. Let’s see…
Waste
On Leveling and Fluctuations—How Does Toyota Do Leveling?
On Leveling and Fluctuations—The Downsides of Leveling
In my last post I gave you a brief introduction to fluctuations and leveling. And, I already hinted that there are two downsides to leveling: properly set up it handles only fluctuations coming from upstream, and—what is rarely talked about—there is an increase in inventory and/or waiting time to decouple the fluctuations in leveling. The second one especially is widely ignored or even vehemently denied in industry, but it is definitely there. Let me show you!
On Leveling and Fluctuations—Introduction
Leveling (or Japanese heijunka) is a common topic in lean manufacturing. Leveling combats one of the three evils in manufacturing: unevenness or fluctuations (in Japanese mura). While reducing fluctuations is an excellent goal, it is unfortunately not free, and there is significant effort not only for implementing and maintaining the leveling system, but also on the way the fluctuations are reduced. While everybody talks a lot about the benefits of leveling, very few talk about the cost. This may be one reason why so many leveling systems fail. Let me show you the hidden not-so-nice side of leveling.
Effects on Efficiency—Group Size, Line, Location, Product
In my last post, I started to look at factors that affect the efficiency of your line, in particular the percentage of value-added time by the operators. For this I have a good data set with fifty-three different observations. One major factor was the speed of the line. Faster lines are not only easier to optimize, but they also yield more benefit for the optimization. In this post I will look at group size, as well as comparing Japan and Germany, final assemblies with subassemblies, and passenger cars with commercial vehicles.
Effects on Efficiency—Takt Time
What Percentage Value Add to Expect for Manual Work?
In my last post I described a quick-and-dirty approach to estimate the percentage of value add (i.e., the efficiency) of manual work. While the value is only an estimate, it is a measurement that you can take quickly and easily even in passing for a manual workplace. You simply count when a person is adding value and when not (i.e., waste). This post will look into more detail on what numbers to expect, and what to do next if you want to increase this percentage of value adding time. Let’s have a look:
How to Estimate Value Add for Manual Work – How to See Waste!
One of the necessary tasks in becoming leaner and improving your industry is to eliminate waste. I like to use a simple approach for measuring waste in manual work to know how good (or bad) the current situation is. To explain my approach I commissioned a few animations. Let me proudly present my approach and my animations, so you can also estimate the efficiency of manual lines when you are on the shop floor.