Solvix International provides schedule risk analysis services for clients who need a quantified view of programme uncertainty rather than a single deterministic finish date. We review the project schedule, identify major sources of uncertainty, build suitable probability assumptions, and run probabilistic analyses to estimate likely completion outcomes, milestone confidence, and contingency requirements across the programme.
Our EVM service can be used as a full implementation, a health check of an existing reporting system, or a targeted support engagement where cost and schedule data need stronger analytical discipline.
This service can be delivered as proactive commercial governance on live projects, an independent review of a troubled cost position, or a targeted verification exercise linked to payment, change, funding, audit, or dispute concerns.
In many construction disputes, the challenge is not simply the absence of data but the absence of structure. Critical information is spread across correspondence, schedules, notices, progress updates, payment records, meeting minutes, instructions, and technical documents. Solvix helps turn that fragmented material into a disciplined narrative and evidence base that legal teams can work with effectively.
The methodology depends on the maturity of the schedule, the depth of project records, the risk environment, and the purpose of the study. In most engagements, Solvix begins by reviewing the schedule structure and the client’s risk assumptions before building a calibrated probabilistic model that can withstand management and stakeholder scrutiny.
a structured pra workflow for programme uncertainty, scenario testing, and risk-informed completion forecasting.
Review the baseline or current schedule, logic health, key milestones, calendars, constraints, and data reliability before simulation.
Identify uncertainty ranges, discrete events, interface risks, procurement threats, and external drivers that may affect completion.
Assign probability ranges and suitable distributions to cost and productivity assumptions, and selected event occurrences.
Simulate numerous outcomes to test finish-date volatility, milestone confidence, and the combined effect of uncertainty on the critical path.
Identify which activities, paths, or event families most influence the project finish date and contingency requirement.
Issue P-values, risk histograms, tornado insights, and practical mitigation options for the project team and stakeholders.
The exact method depends on contract form, data maturity, project phase, and reporting audience. However, the core implementation logic remains consistent: create a reliable baseline, define how value is earned, capture actual performance accurately, and then issue metrics and forecasts that management can trust.
assess WBS logic, cost-code mapping, budget loading, reporting calendar, and control-account structure.
define how each work package earns value, including quantities, milestones, weighted steps, or physical progress rules.
align committed cost, actual cost, accruals, and cost timing so the reporting period reflects the real expenditure position.
update EV, PV, AC, variances, indices, and forecast fields, while checking for distortion or data inconsistency.
translate the metrics into management insight, root-cause review, and recommended corrective actions.
A good schedule risk analysis does more than produce a probability chart. It should show how uncertainty affects the critical path, which risks matter most, where contingency is likely to be consumed, and which mitigation measures provide the best decision value.
It is a probabilistic assessment that estimates likely project completion outcomes by combining schedule logic with uncertainty ranges and discrete risks, rather than relying only on a single deterministic finish date.
These are confidence levels. For example, a P80 date is a finish date with about an 80 percent probability of being achieved based on the model assumptions used in the analysis.
No. It complements them. A sound deterministic schedule remains essential, but schedule risk analysis adds visibility into how uncertain the finish date really is.
Yes. One of the most useful applications is testing whether proposed mitigations meaningfully improve the probability of meeting a target date.
At Solvix International, we specialize in delivering exceptional project management and consultancy services.
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