A Dynamic Earned Value Productivity Monitoring

This paper presents a dynamic project health monitoring for executive and CEO-level reporting in Engineering, Procurement and Construction (EPC) environments. The framework is built around a new metric — the Earned Contract Value (ECM) per Manhour (MH) Index (ECV/MH Index) — which measures how efficiently a project workforce converts labour consumption into earned contract value. Unlike traditional Earned Value Management (EVM), which requires access to Actual Cost data, the proposed framework operates entirely from two data sources available on any construction site in near real time: progress records (which drive payment applications) and manhour records from site timesheets. The visualization at the core of the framework represents the planned ECV/MH rate as a bell-shaped productivity envelope over the project timeline. Data points plotted against this envelope reveal both the current productivity shortfall (a vertical reading) and the accumulated schedule delay (a horizontal reading) in a single diagram. The framework auto-computes a forecast by stretching the right-hand side of the planned bell curve along the time axis proportional to the Current Productivity Index, generating a revised completion date without manual input. A second scenario line prescribes the exact additional workforce mobilization required to recover the original completion date — also computed automatically from the baseline plan. The paper identifies framework governance requirements around approved variations and employer compensation events, which must be incorporated into the planned baseline before the index is computed. The framework is presented as a maturity-tiered model, with a functional core requiring minimal data infrastructure and optional enhancements for more sophisticated environments. Its relevance to Gulf region EPC contracting — where lump-sum structures, Letter of Award instruments, and commercially sensitive cost data make traditional EVM difficult to implement — is discussed. The framework's four integrated capabilities (measure, forecast, prescribe, quantify the trade-off) are shown to deliver equivalent executive insight to a full EVM dashboard, from a fraction of the data.