Christopher Roser

DECEMBER 26, 2023

This post of my series on Practical Problem Solving (PPS) looks at what to do after you have done the “Do” part of PDCA. Yes, that’s right, after implementing the solutions you are not done yet. You need to monitor the outcome to see whether it has actually achieved the target you set much earlier.

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Christopher Roser

DECEMBER 5, 2023

In my last post I introduced the Toyota Practical Problem Solving approach (PPS) and gave an overview how it is rooted in PDCA and often used in the form of an A3. Now let’s dig deeper and go into the details of the individual steps. The first is to clarify the problem. The second is.

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Christopher Roser

DECEMBER 19, 2023

Some people like this part of actually doing the improvement (and hence finally the “Do” part of PDCA) so much that they skip the “Plan” Read more The post Toyota Practical Problem Solving (PPS)—Countermeasures and Implement first appeared on AllAboutLean.com.

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Christopher Roser

AUGUST 8, 2023

Sometimes, but harder to grasp, is the underlying culture and philosophy of continuous improvement and PDCA. When we are talking about lean manufacturing, we often focus on the tools like kanban, 5S, SMED, and many more. Part of this culture is what you could call the soft power of the Toyota Production System.

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Christopher Roser

MAY 3, 2022

It needed a lot of care and attention, as well as continuous improvement and PDCA. Toyota did not start out as a lean company, but evolved over time. This was also not an automatic process. This is the second post of this short, two-post series on the path of Toyota from a messy and hard-to-manage.

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Velocity of Content

MAY 2, 2022

the PDCA cycle) because the nature of knowledge is dynamic and the preservation of quality (for its data) requires feedback loop mechanisms. the PDCA cycle) because the nature of knowledge is dynamic and the preservation of quality (for its data) requires feedback loop mechanisms.

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Velocity of Content

DECEMBER 15, 2022

the PDCA cycle) because the nature of knowledge is dynamic, and the preservation of quality (for its data) requires feedback loop mechanisms. Producing and maintaining knowledge is an iterative process that is based on continuous improvement. At a high level, all knowledge systems implement some version of the Deming cycle (a.k.a.

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