earned-value-management

browser-based project scheduling tool built around dependency-driven scheduling

Project scheduling and earned value control for Python: CPM, PERT with Monte Carlo schedule risk, minimum-cost crashing, EVM and earned schedule. Validated against published reference values.

MCP server exposing pmcontrols (CPM, PERT, crashing, EVM, earned schedule) as validated tools for AI agents.

Weekly Plan vs Actual dashboard for engineering/construction projects. Power BI (DAX/modeling), variance hotspots and a simple pace index. Demo data included.

Graduate course 11117BLG002 (SDÜ): R&D and Project Management in Computer Science. Research methods, TÜBİTAK, Horizon Europe and NSF proposal writing, scheduling, Monte Carlo risk, agile, earned value and technology transfer, with interactive labs, Colab simulations and knowledge checks. Open for reuse (CC BY 4.0, MIT).

Local-first project controls desktop app for schedule, cost, risk, change and weekly management reporting.

End-to-end residential construction estimating workflow including quantity takeoff, BOQ, contractor pricing, cost-loaded scheduling, Earned Value Management (EVM), commercial reporting, and project controls.

Primavera P6 EPC scheduling case study — 380kV GIS substation, data centre grid connection

Earned value management and project-controls reporting, operationalized: SPI/CPI, EAC/ETC/VAC, milestone tracking, and risk register analysis, computed automatically instead of rebuilt by hand.

Models and ranks recovery interventions (add resources, re-sequence, accept delay) against a programme's schedule/cost/risk status — the toolkit's missing decision layer, not another status report.

AI-powered project management platform for construction — docs, roadmap, and community

Python tool for Earned Value Management (EVM) analysis on infrastructure projects — CPI, SPI, EAC calculations with automated dashboard output

RiskPulse — AI-Driven Project Risk Manager A PMP-aligned web application for quantitative project risk analysis. RiskPulse utilizes Beta-PERT Monte Carlo simulations, Critical Path Method (CPM) scheduling, and Earned Value Management (EVM) to proactively identify bottlenecks, slippage, and resource contention in real-time.

End-to-end construction programme monitoring: Python pipeline → Excel dashboard → Power BI model. Earned Value Management across a ₹1,910 Cr infrastructure portfolio.

Progress-control dashboard for a refinery EPC package: MS Project -> weighted itemised progress -> Power BI + a zero-install offline web dashboard. 226 weighted items, S-curve, SPI, critical path, A4 meeting sheet.

Automate construction cash flow and S-Curve generation. Schedule-driven Excel template for project managers to track SOV, cost forecasts, and WBS progress.

Project scheduling, open and auditable: every date with its calculation. A clean-room project scheduler in pure Rust.

Single-file offline IT Project Manager workspace for Fixed Bid, Agile Scrum, and Hybrid projects with Gantt, sprint board, budget, RAID, reports, charts, and AI-style prediction.

CPM schedule status, placed on a facility: one OpenUSD block per activity, colored good/warning/critical from the toolkit's own CPM engine. A synthetic practice model, not a real data hall.

Costing, planning, risk and earned-value management for long-running projects: build an offer, revise it, pilot execution against a contractual baseline, and read cost and schedule performance from the task up to the whole portfolio.