Dashboards, in their many forms, are essential to track the performance of a production system. In this post I will talk more about the Toyota shop floor dashboard. A lot of the information is from Toyota in Japan, but the images are from Toyota UK. Keep in mind that the dashboards are not a rigid standard and there may be differences in how they are implemented in the different plants. For one thing, in Japan they are in Japanese, and in the UK in English, but there are also differences within the KPI itself. Let me tell you more in this short series on the Toyota KPI dashboards…
KPI
Dos and Do Nots for KPIs
A key part of managing your shop floor is understanding the current state of the shop floor. And KPIs are an important part of understanding the shop floor. But this is also not always easy. In my experience, the three most common pitfalls are to underestimate the effort (and hence the cost) of measuring a KPI, to overestimate the accuracy of a number, and (worst of all) to believe that the numbers tell you everything. Time for a reality check…
The Many Different Flavors of the OEE
If imitation is the sincerest form of flattery, the OEE (Overall Equipment Effectiveness or Efficiency) is indeed one of the most appreciated measures in lean. I counted at least eight different variants and adaptions of the basic OEE – although let me tell you that I am not impressed with all of them. Many of them seem to be theoretical academic constructs with little meaning for your shop floor. Also, identical acronyms and similar terms are often used in a completely different way, adding quite a bit to the confusion. On top of that, I think the OEE is used way too much in industry where it does not make sense, and many OEE numbers are heavily fudged. Anyway, let me show you the many different flavors of the OEE.
Good and Bad Ways to Calculate the OEE
There are different ways to calculate an OEE. I know of at least three different ways. However, some of them are easier and more practical than others.
Maybe you have seen a formula similar to OEE = A x P x Q. I see this formula often, but for me it is a very impractical way to calculate the OEE. Let me show you why by comparing the three different ways to calculate an OEE.
The Problems of Cost Accounting with Lean
Accounting is one of the cornerstones of the modern economy. Cost accounting in particular helps in decision making with the goal to maximize profit. Many decisions are based on these numbers. Unfortunately, cost accounting usually does a really poor job of capturing the essence of manufacturing in general and lean manufacturing in particular.
Lies, Damned Lies, and KPI – Part 3: Countermeasures
There is an inflation of key performance indicators (KPIs) in industry. In my last posts I have explained how KPIs are often wrong, and why bad and fudged KPIs are a huge waste. Yet, you cannot really run a larger corporation without KPI. In this post I will finally give some advice on (1) what you need to do to measure good KPI, and (2) how to avoid fudged KPI.
Lies, Damned Lies, and KPI – Part 2: Effects of Fudging
Modern manufacturing works with a lot of performance measures, often called key performance indicators (KPIs). Unfortunately, they are rarely accurate, and often even intentionally misleading. In my previous post I described some examples of commonly manipulated KPIs. In this post I would like to explain the ugly consequences of incorrect or manipulated KPIs. In a final post I will also show some ways that you can reduce this negative effect. But first, how do bad KPIs (and hence most KPIs) hurt your company?
Lies, Damned Lies, and KPI – Part 1: Examples of Fudging
Statistical measurements, usually called key performance indicators (KPIs) are found on pretty much every shop floor and in every company. Many management decisions are made based on KPI. Unfortunately, these numbers often are not reliable at all.
Mark Twain popularized the phrase “Lies, damned lies, and statistics.” Winston Churchill famously said, “I only believe in statistics that I doctored myself.” Hence, both men were wary of trusting numbers. You should be too!