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A combined supply chain optimisation model for the installation phase of offshore wind projects

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  • Chandra Ade Irawan
  • Negar Akbari
  • Dylan F. Jones
  • David Menachof

Abstract

This paper proposes a combined model for port selection and supply chain optimisation for the installation phase of an offshore wind farm. Two strategic models are proposed where the first model, based on Analytical Hierarchy Process (AHP), aims to select the most suitable installation port. The second model is developed using Integer Linear Programming (ILP) in order to determine the optimal transportation schedule of the components from suppliers to the chosen installation port. The proposed models are evaluated for the West Gabbard (UK) offshore wind farm located in southern part of the North Sea. According to the computational results, the AHP model chooses port of Oostende, Belgium as the most suitable installation port for this offshore wind farm whereas the proposed supply chain model shows that the total transportation cost makes up 9% of total supply chain cost.

Suggested Citation

  • Chandra Ade Irawan & Negar Akbari & Dylan F. Jones & David Menachof, 2018. "A combined supply chain optimisation model for the installation phase of offshore wind projects," International Journal of Production Research, Taylor & Francis Journals, vol. 56(3), pages 1189-1207, February.
    • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:3:p:1189-1207
    DOI: 10.1080/00207543.2017.1403661
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    Cited by:

    1. Rudimar Caricimi & Géremi Gilson Dranka & Dalmarino Setti & Paula Ferreira, 2022. "Reframing the Selection of Hydraulic Turbines Integrating Analytical Hierarchy Process (AHP) and Fuzzy VIKOR Multi-Criteria Methods," Energies, MDPI, vol. 15(19), pages 1-26, October.
    2. Islam Hassanin & Matjaz Knez, 2022. "Managing Supply Chain Activities in the Field of Energy Production Focusing on Renewables," Sustainability, MDPI, vol. 14(12), pages 1-33, June.
    3. Akbari, Negar & Jones, Dylan & Treloar, Richard, 2020. "A cross-European efficiency assessment of offshore wind farms: A DEA approach," Renewable Energy, Elsevier, vol. 151(C), pages 1186-1195.
    4. Lerche, J. & Lorentzen, S. & Enevoldsen, P. & Neve, H.H., 2022. "The impact of COVID -19 on offshore wind project productivity – A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).

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