Title: Risk management and design of mitigation plans through discrete events simulation and genetic algorithms in offshore wind processes

Authors: David Chas Álvarez; Adolfo Lamas Rodríguez; José Antonio Muiña Dono

Addresses: UMI Navantia-UDC, University of A Coruña, A Coruña, Spain ' UMI Navantia-UDC, University of A Coruña, A Coruña, Spain ' UMI Navantia-UDC, University of A Coruña, A Coruña, Spain

Abstract: This paper tackles the difficult task of identifying risk and opportunities quantify them and propose mitigation plans that minimise the impact of the risk in manufacturing projects. For this reason, a discrete events simulation model representative of a manufacturing plant and manufacturing strategy has been developed. This simulation model will be able to identify and assess the risks of the project with regard to risk effect in the schedule or in the manufacturing cost and, on the other hand, simulation model will be used in combination with an optimiser based on genetic algorithms (GAs), allowing the design of new manufacturing strategies or new plant layouts. Finally, the experimental results were obtained customising the simulation model for a real project of manufacturing wind turbine foundations, in particular to the piles that hold the lattice structure (jacket) to the bottom of the sea.

Keywords: genetic algorithms; risk management; mitigation plans; discrete events simulation; offshore wind processes; jacket.

DOI: 10.1504/IJSCOM.2018.099456

International Journal of Service and Computing Oriented Manufacturing, 2018 Vol.3 No.4, pp.274 - 292

Received: 31 Jan 2018
Accepted: 03 Sep 2018
Published online: 06 May 2019 *

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