Archive for the
‘Root Cause Analysis’ Category

Qualitative Testing Qualitative tests look for a change in a quality; for example, a color might change. Qualitative tests always involve the use of attributes rather than variables values (e.g., temperature). Consider the Kastle-Meyer test for the presence of blood–an archetype for qualitative forensic testing. The test is impressively quick and functions as a decision […]

Manufacturing Project The project whose scope includes delivery through manufacturing will include some quality assurance steps from the previous blog post to ensure we are able to produce the designed product to the quality expected by the sponsor. Trial Production Run and Problem Discovery The manufacturing team reviews the development of the manufacturing line with […]

In our last blog post, we referred to the APQP  (Advanced Product Quality Planning) activity of DFMEA.  The post was about the attempt to perform late in a project.  The point to the DFMEA in that instance was lost; at best, if we found a serious problem, would be to abort the launch.  The post […]

Asking for more… Recently, I overheard a project manager discussing the use of a quality tool for their project. The project is well underway. Can you guess the tool under discussion?  It was the DFMEA or Design Failure Mode Effects Analysis.  There are a couple of things wrong with starting the discussion at this point, […]

Quality Project Deliveries No matter the expected delivery, objective or product from the project, to deliver a high quality outcome is the result of intention.  It comes from the understanding of the scope, the planning and execution of appropriate quality securing actions and consistent monitoring and adjustment to lessons learned along the way Quality and […]

What are we trying to accomplish with a communications plan?  Effective project management is the efficient achieving of an organization’s objectives.  To do that, we have to keep our project team informed and working toward the target.  That includes our project sponsor and other stakeholders.  Ultimately our plan should be able to quickly answer the […]

Like the Ishikawa Diagram, the Histogram can serve us well.  The histogram allows us to visualize the trends based upon a category.  It is a graphical distribution of data, in the example below we see the distribution of the duration to prepare an incoming vehicle to be a suitable device to put under test out […]

I know this is way off topic; however I thought we should post this. Below is a letter my brother and I sent to the Veterans Administration. Our father was in the Special Forces and served multiple tours in Vietnam.  The US has been in wars for decades now, and we do not know the […]

The Pareto chart (not to be directly confused with the Pareto probability distribution function) is a simple approach to revealing significance in data. Before we plot our chart, we need to complete some initial work: Gather the data in a natural format (count, floating point [decimal], dollars, etc.) Sort the data from high to low […]

There is only one way to describe this scenario and that is via a story.  Consider the organization that is coming to the end of the project.  The product is a complicated subassembly that goes into a larger system and has numerous interactions and incarnations of the design.  They are late in the delivery of […]