A comprehensive model built for a dredging contractor that manages a fleet of specialized vessels (cutter suction, trailing suction hopper, backhoe dredgers) and executes projects across coastal, port, and inland waterways. The model mirrors real project lifecycle: from tender evaluation and bid pricing to mobilization, dredging, demobilization, and final retention release, capturing the multi-project, multi-year cash flow mechanics that large contractors live by.
Revenue generation is driven by an individual project pipeline, where each project can be defined by contract type (lump-sum, unit-rate per cubic metre, or depth-based with soil stratification). The model dynamically allocates vessels to projects, calculating achievable production rates based on soil properties, pump distance, and weather downtime, while factoring in repositioning time and seasonal windows. This ensures your capacity planning reflects genuine operational constraints, not just ambition.
The cost engine is built around the fleet's physical consumption: fuel burn per operating hour at different engine loads, wear-part life per cubic metre by soil abrasiveness, periodic dry-docking, and crew rotations. Mobilization and demobilization costs are modeled per project with towage distance, port fees, and travel logistics, giving you a precise picture of the one-off costs that can break a tender's economics.
A robust financing structure handles vessel-specific debt or lease facilities, balloon payments, and maintenance reserve accounts. Environmental and regulatory costs—disposal fees, silt curtains, turbidity monitoring, and permit renewals—are scheduled by project phase, preventing nasty surprises after the bid is won. The model also reflects industry practices like retention moneys, payment milestones, and performance penalties, so your working capital forecast is grounded in typical contract terms.
Finally, the model aggregates all project cash flows into a consolidated set of financial statements and KPIs. Scenario management lets you stress-test fleet expansion plans, fuel price trajectories, and order book assumptions, delivering a board-ready view of the company’s long-term financial health under uncertainty.