Naval Generator Simulation & Report

I need a discrete-event model built in Arena that mirrors the generator system on an Estonian Navy vessel and a concise engineering report that explains the findings. The primary yardstick for success is a clear accounting of downtime: how much is lost under current maintenance routines and how that figure shifts when alternative strategies are introduced.

To ground the study, focus the analysis on parts-replacement frequency. Routine inspections or broad repair activities can sit in the background physics of the model, but the spotlight stays on how often components are swapped, what that costs in time, and how it drives total outage hours.

The workflow I have in mind is straightforward:

• Re-create the existing maintenance regime in Arena, validate it with any baseline data I supply, and quantify observed downtime. • Design and code at least two alternative maintenance approaches inside the same model (e.g., different replacement schedules or condition-based triggers). • Run comparative experiments, extract meaningful statistics, and discuss confidence in the results. • Package everything into an illustrated report that explains assumptions, model logic, key Arena blocks, outputs, and actionable recommendations for the ship’s engineering staff.

I will provide vessel-specific parameters, component reliability data, and formatting guidelines once we start.

Please highlight the technical side of your background when you reply—especially prior Arena work in naval, maritime, or heavy-equipment contexts—so I can see you can dive straight into this without a learning curve. Budget: USD 30–250 Skills: Technical Writing, Report Writing, Statistical Analysis, Data Analysis, Statistical Modeling, Simulation