Robust Rolling Horizon Optimisation Model for Offshore Wind Farm Installation Logistics

Research output: Working paper

Abstract

Our approach can be considered as both proactive and reactive, since uncertainty is considered both in creating the initial schedule and the schedule can be updated in real-time.
LanguageEnglish
Place of PublicationGlasgow
PublisherUniversity of Strathclyde
Publication statusUnpublished - 2017

Fingerprint

Offshore wind farms
Logistics
Uncertainty

Keywords

  • robust scheduling
  • rolling horizon
  • offshore wind farms
  • installation operations

Cite this

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title = "Robust Rolling Horizon Optimisation Model for Offshore Wind Farm Installation Logistics",
abstract = "Our approach can be considered as both proactive and reactive, since uncertainty is considered both in creating the initial schedule and the schedule can be updated in real-time.",
keywords = "robust scheduling, rolling horizon, offshore wind farms, installation operations",
author = "{Tezcaner {\"O}zt{\"u}rk}, D. and E. Barlow and K. Akartunali and M. Revie and Day, {A. H.} and E. Boulougouris",
year = "2017",
language = "English",
publisher = "University of Strathclyde",
type = "WorkingPaper",
institution = "University of Strathclyde",

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TY - UNPB

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AU - Tezcaner Öztürk, D.

AU - Barlow, E.

AU - Akartunali, K.

AU - Revie, M.

AU - Day, A. H.

AU - Boulougouris, E.

PY - 2017

Y1 - 2017

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AB - Our approach can be considered as both proactive and reactive, since uncertainty is considered both in creating the initial schedule and the schedule can be updated in real-time.

KW - robust scheduling

KW - rolling horizon

KW - offshore wind farms

KW - installation operations

M3 - Working paper

BT - Robust Rolling Horizon Optimisation Model for Offshore Wind Farm Installation Logistics

PB - University of Strathclyde

CY - Glasgow

ER -