Schedule Risk Analysis With Acumen: Effects of Floats And Lags on Results

Share
Tweet
Share
Schedule Risk Analysis by MLR

This article provides an overview on how varying inputs and parameters affect the date outputs, in particular, the P0, P50, and P100 dates, in the Schedule Risk Analysis (SRA) with software Deltek Acumen Fuse.  By understanding how Acumen behaves with respect to varying conditions, schedulers, risk managers, and key stakeholders alike will be guided on providing only realistic input values for the SRA.

In this analysis, the effects of the schedule total floats and lags on SRA results or the P-values (P0, P50, P100) are investigated.  Four simple schedules were developed using Primavera P6 to understand how results varied when the same single risk was applied to a critical activity, non-critical activity, and to an activity whose criticality was driven by a lag.

The analysis proves that Acumen considers the total float in the output.  Meaning, the total float is “consumed” first before driving the linked successors to their probabilistic dates.

Variable

  • Risk Mapping, Primavera P6 Schedule Critical Activities (Case 06).

Input

  • A single risk is assigned to a critical activity (criticality driven by logic).
  • A single risk is assigned to a non-critical activity with different total float.
  • A single risk is assigned to a critical activity (criticality driven by lag).
  • 1,000 iterations set in Deltek Acumen Fuse.
  • All other parameters are set to be the same in each case/project shown in Figure 1 below.
Primavera Schedule for Risk Analysis
Figure 1. Primavera Schedule with Different Criticalities and Activity Risk Mapping.

Table 1.  Risk Mapping to Activities with Varying Criticalities.

Schedule Risk Analysis Risk Register

Output

Risk Exposure Histogram by Deltek Acumen Fuse
Figure 2. Risk Exposure Histogram Generated from Acumen (see tabulated values in Table 2).
Risk Drivers by Deltek Acumen Fuse
Figure 3. Risk Drivers Generated from Acumen (see tabulated values in Table 2).

Analysis

Tabulation of the results of Figures 2 and 3 are shown in Table 2 along with calculations for analysis.

Table 2.  Results and Calculations.

Schedule Risk Analysis

Due to the risk assigned to a critical activity, the P100 date adds 100 work days to the deterministic date (DT) in C06A. This 100 days is also the max duration set on the risk register for C06BC06C, and C06D.

The total float in C06B to which the risk was assigned is 150 days. With the max duration input of 100 days, the completion date did not move from its DT value. It seems the risk duration consumed the total float first.

To further prove C06BC06C has less total float than the risk max duration (50 days vs. 100 days). This resulted to the P100 date shifting 50 working days from the DT. The risk duration does consume the total float first before the probabilistic completion date drifts away from the DT.

In C06D, the risk is assigned to a critical activity. But unlike C06A wherein the criticality is driven by logic, in C06D the criticality is driven by the assigned lag. The results of the schedule analysis for both cases are the same.

Takeaways

  1. When the risk is assigned to a critical activity, regardless whether the criticality is caused by logic or by lag, the P100 date drifts from the deterministic date by the same max duration in the assigned risk.
  2. Acumen considers the total float. It is “consumed” first before driving the succeeding activity to its probabilistic completion date.
Share
Tweet
Share
MLR Project Management & Consultancy

Rationalizing the Irrationalities in Decision-Making

Traditionally, decision-making was seen as a rational process governed by logic, with emotions viewed as disruptive. Yet, recent studies reveal emotions are essential to organizational decision-making, especially in complex scenarios. Emotions, distinct from moods, shape judgments and persist beyond the moment, influencing future decisions. They act as motivators and guide adaptive choices, with both immediate and anticipated feelings present throughout the process. Neuropsychological research further shows that lacking emotional input can impair decision quality, even if rational skills remain strong. Ultimately, emotions and rationality are intertwined, both crucial for effective decisions.

Read More »
MLR Project Management & Consultancy

Mastering Activity Codes in Primavera P6 Schedules for USACE and NAVFAC Contracts: Requirements, Common Pitfalls, and Best Practices

The article outlines the significance of utilizing specific activity codes in Primavera P6 schedules for US government projects, particularly under USACE and NAVFAC contracts. USACE typically requires eight detailed codes, while NAVFAC may only use a subset. The content stresses the necessity of reviewing contracts for compliance and notes potential exceptions. It highlights common mistakes and offers guidance on applying these codes effectively, ultimately illustrating their role in enhancing schedule management and ensuring successful project execution.

Read More »
Power Bi Dashboard by MLR

Dashboard: Solar PV Installations In Australia

The dashboard provides a rich collection of data carefully put up together to provide an interactive source of information pertaining to the solar PV state of the country including a predictor tool to forecast the installation quantity based on several relevant parameters as determined by regression analysis.

Read More »

How may we help you?

Where to send the file?