Why Statistics and Control Are Important to the Project Manager More from the TQM and Project Management [1] One of the purposes of statistical analysis lies in its ability to discern random variation from non-random (or “controllable”) variation. Random variation is extremely difficult to control, although we have seen situations where variance could be […]

Introduction We continue our Total Quality Management for Project Management and the PMO.  TQM can help us with the planning of the project giving us some measure of historical performance from which we can learn. However, it is not just the planning that can be aided by TQM, but also the strategy we intend to […]

In our previous post, we have learned the distribution of vehicle preparation time via the visual representation known as the histogram.  This does not tell us what causes for the distribution.  If we wish to alter this distribution, we will also need to know the causes and take some action to alter.  Enter the Ishikawa […]

The customer is the receiver of the output; the customer can be an internal end customer or an intermediary to the next “chain” of events on the way to the final customer. Ultimately, we are aligning our actions (Suppliers, Inputs, Processes, and Outputs) in a way that provides the biggest benefits for our final customer. […]

by Kim H Pries When we are engaged in prototype development during the early to late middle phases of our new product delivery process, we usually purchase components through maintenance, repairs, and operation (MRO) purchasing. This type of purchasing is managed on an as-needed basis, and often, is not automated. We purchase the parts we […]

The sooner you move away from project management activities based upon hope, the sooner your organization makes a recovery to the efficient enterprise you desire. I have noticed a rash of project schedules wherein each task lays end to end as if the prediction of the; task start, progress, and completion times are known without […]