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Automated generation of a task list for cycle-based work campaigns |
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Manual editing of individual tasks in the auto-generated task list |
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Multi-variable constraints |
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Learning curve modelling |
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Generate weather calendars for P6 and MSP |
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Milestone completion statistics |
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Root cause analysis |
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Annual campaign simulation for each reanalysis year |
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Global ERA5 metocean time series data |
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Full log of simulation steps for validation of results |
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Any number and type of time series data available or derivable |
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Parallel, interdependent activity streams |
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Shared inventory modelling |
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Shared resource modelling |
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Interdependent workability limits (e.g. wave period/height plots) |
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Weather window requirements with non-constant limits |
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Advanced root cause analysis |
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Visualize the root cause for downtime, identify the bottlenecks and optimize your construction setup accordingly.
Dimension your storage capacity by modelling the in- and out-bound logistics. Will the installation vessels run out of components in a P30 scenario? What is probability that the storage capacity limit will be reached, stopping the in-bound logistics?
(A) Risk of storage at max capacity (12 WGTs). Inbound logistics on standby until the next load-out of components.
(B) Risk of running out of WTGs at staging port. Coupling of load-out activities and storage level.
Model interdependent operational constraints e.g. floating operations with inter-dependent wave period and wave height.
Fixed, individual limits on wave height and wave period leads to overly conservative downtime estimates. Identify all workable periods by modelling the correct Hs-Tp curves instead .
Contact our specialists directly or send a general inquiry.
Project: Supporting a +500MW offshore wind project in the US Atlantic Coast by analyzing the transport and installation options.
Challenges: The logistic options including several vessels feeding components from different harbours to a main installation vessel located at the offshore site. The following questions arised:
Outcome: Lautec helped to answer these questions in detail by implementing the case data in ESOX+ combining the modelling of parallel activity streams, shared inventory modelling, shared ressource modelling, interdependent workability limits, weather window requirement with non-constant limits and detailed root cause analysis.
