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Integrated project management is becoming increasingly important for project organisations in the Netherlands. At the Primaned Academy, we see that Planning and Risk processes in particular are increasingly carried out by a single person. Our risk specialisation trains a planner to carry out a qualitative risk analysis in order to prioritise and possibly quantify risks on the basis of a probabilistic planning.
You are halfway through your project and you want to know if you are still going to achieve your project objectives. By using an Earned Value Management System, you know how to estimate your total expected costs (Estimate at Completion), but what about your deadline? Based on your current information, can you say something about the expected finish date of your project? This blog gives you an overview of how to use Earned Schedule to predict your project finish date.
Microsoft Project is a planning tool with which, besides planning on time, resources can also be allocated to activities. In this blog we will briefly discuss how Microsoft Project deals with the concepts Units and Peak and how different resource fields are calculated.
Read moreNow we’ve learned the basics of Earned Value Management calculations (see this blog), it’s time to introduce a new metric to define our project’s health. As you’ve noticed all previous metrics and parameters were either percental (CPI, SPI, TCPI) or monetary/unitary (CV, SV). But what does a schedule variance of € 10.000 tell us? First, a delay expressed in monetary units is somewhat strange. Second, we will show later in this blog post that this metric is subject to a major fallacy. It is to be replaced with a more comprehensive one. Time for change.
Read moreAs a temporary conclusion to our Earned Value Management blog series, we’d like to provide you with an EVM formula cheat sheet. This file contains all essential formulas for calculating the Earned Value metrics, indicators and measures. Download the .pdf for free.
Read moreA schedule risk analysis is a powerful tool to gain insight into the influence of risks and uncertainties on the cost and duration of a project.
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