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What are the most effective Lean tools to use during the Analyze phase of DMAIC?


We are currently stuck in the Analyze phase of our supply chain project. We have plenty of data but are struggling to identify the true root cause of our lead time delays. Which Lean tools, such as the 5 Whys, Fishbone diagrams, or Pareto charts, are most effective for narrowing down variables? Also, how do you handle resistance from staff when data contradicts their intuition?


   2024-07-15 in Quality Management by Gregory Taylor | 8942 Views


All answers to this question.


The "Analyze" phase is where you separate the "vital few" from the "trivial many." I always start with a Fishbone (Ishikawa) diagram to brainstorm all possible causes across people, processes, and equipment. Then, use a Pareto Chart to prioritize which of those causes contribute to 80% of the delays. To validate these, Hypothesis Testing is your best friend. Regarding staff resistance, show them the data in a visual format like a Box Plot. When people see the variation clearly mapped out, it is much harder for them to argue that "everything is fine" or rely on outdated intuition.

   Answered 2024-07-22 by Michelle Robinson


Have you considered using a Value Stream Map (VSM) to specifically look for "Wait Time" vs "Process Time" to see where the actual bottlenecks are occurring?

   Answered 2024-07-29 by Steven Clark

  • Steven, we did a high-level VSM in the Define phase, but we haven't drilled down into the specific non-value-added steps in the current state map. You've reminded me that we need to look closer at our hand-off points between departments. That is likely where the hidden waste, or "Muda," is hiding. I'll organize a Kaizen event next week to walk the floor and map those specific transitions with the frontline operators.

       Commented 2024-08-04 by Gregory Taylor


Don't overlook the 5 Whys. It is the simplest tool but often the most powerful for getting past symptoms and reaching the actual root cause of a process failure.

   Answered 2024-08-10 by Anthony Hill

  • Absolutely, Anthony. Simplicity is key. If you can't explain the root cause simply using the 5 Whys, you probably haven't dug deep enough into the data yet.

       Commented 2024-08-15 by Michelle Robinson



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