The resource-driven network analysis method remains underrecognised and underappreciated within project management communities. As the most advanced project planning and delivery approach ever developed, sometimes referred to as the Resource Critical Path (RCP), it is still largely unfamiliar to many practitioners.

To illustrate its value, let’s compare it with other commonly used planning approaches through a simple scenario.

Scenario:

A project includes five activities carried out by two resources. 

The project manager is informed that Activity D may be delayed by two days and must determine whether a corrective action is necessary.

The speed and accuracy of the response depend on the planning approach used. Let’s examine how each approach supports the project manager in handling this situation.

Assessing the impact is difficult because task and resource dependencies aren’t clearly visible.

The visual layout indicates that Alex is assigned to Activity B, which is planned to commence immediately after Activity D; however, the downstream implications remain unclear, as task dependencies are clearly visible. 

Without logical links or time-based analysis, it’s nearly impossible to evaluate the effect of the delay.

Total Float for Activity D is 3 days. It indicates that the delay won’t affect the project deadline. This creates a false sense of security, suggesting that no action is needed.

In contrast, Total Float for Activity D = 0 days , indicating that any delay will directly impact the project completion.

Why? The same resource (Alex) is responsible for both Activities D and B. Delaying D postpones B, which then delays Activity C, ultimately affecting the project finish date.

Earned Value Management (EVM)
Schedule Performance Index is based on the assumption that all activities are equally important. If a critical activity is delayed but a non-critical activity is completed ahead of schedule, the index may incorrectly indicate that the project is ahead of schedule when, in fact, it is late. 

Critical Chain Project Management (CCPM)
Recognises the need to account for resources but offers no methods to calculate resource-driven delivery plans. 

Monte Carlo Simulation (MCS)
If the basis for the analysis is a CPM model, MCS may incorrectly show no impact from the delay. When a resource-driven model is applied, it will provide the correct result, but only if resource levelling is performed during simulation. Most MCS tools don’t support resource levelling, limiting their reliability.

If the method is applied correctly, it will enhance the analysis, taking into account the probability of delay (not only the fact that it may be delayed).

Resource-Driven Network Analysis, also known as Resource Critical Path, provides the most reliable and immediate insights when analysing the impact of delays, considering technological dependencies, resource allocations, and limitations.

Other methods either require significant manual effort or produce misleading results. While CPM is supported by software automation, it fails to account for resource allocation, which can significantly distort the analysis results.

Without resource-driven network analysis, projects lack the ability to confidently answer essential delivery questions:

• How many days can an activity be delayed before it impacts other activities and project deadlines?
• Where are the opportunities to accelerate?
• Which resources or skills are creating bottlenecks?

The ability to answer these questions with speed and accuracy is what makes resource-driven network analysis a necessity, not a choice.