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

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.

Hybrid BWM-ELECTRE-based decision framework for effective offshore outsourcing adoption: a case study

“…However, in case where the number of alternatives is very high ELECTRE is normally considered as a prime choice as it offers flexibility to the researchers to compare each alterative separately on the basis of individual criteria(Sevkli 2010;Yadav and Desai 2016). However, it doesn't even require the normalisation of selected variables(Irawan et al 2017). While ranking of alternatives, ELECTRE also considers the…”

A cross-European efficiency assessment of offshore wind farms: A DEA approach

“…This effect could potentially diminish the role of an absolute measure of the size of the wind farm (e.g in GW) when determining efficiency. One possible hypothesis for the median efficiency score of UK being slightly, although not statistically, lower than that of the Germany-Denmark group is found in [35], which gives the location of the component manufacturers for European offshore wind farms as principally located in Germany and Denmark, with consequent longer and more complex supply chains to offshore wind farms in the UK. Although proving this hypothesis is beyond the scope of the DEA analysis in this paper, it is a plausible argument and in line with the DEA results that the longer UK supply chains are causing the slightly lower levels of efficiency at UK offshore wind farms.…”

Strategic global supply chain network design – how decision analysis combining MILP and AHP on a Pareto front can improve decision-making

“…While there exist AHP-MILP hybrids that assess global environmental complexity (Badri 1999) and visualise trade-offs (Validi, Bhattacharya, and Byrne 2014), none of the papers combine both capabilities. Furthermore, contrary to existing AHP-MILP hybrid approaches (Badri 1999;Ghodsypour and O'Brien 1998;Irawan et al 2018;Korpela, Lehmusvaara, and Tuominen 2001;Ozgen and Gulsun 2014;Validi, Bhattacharya, and Byrne 2014), we describe a real-life application to demonstrate how a solution framework for GSCND combining three optimisation methods can be successfully deployed, and its approach and results become accepted and utilised by managers.…”

“…The model is based on data from the Irish dairy industry, however, there is no implementation into the managerial decision process. Irawan et al (2018) propose a model to select ports for offshore windfarms and design the distribution system for components. Ports are pre-selected by AHP.…”

“…We contribute to literature on hybrid AHP-MILP approaches (Irawan et al 2018;Validi, Bhattacharya, and Byrne 2014) by showing that for optimisation methods from OM to be successfully implemented in practice, application-oriented specifications from the DSS domain (Power, Burstein, and Sharda 2011) should be considered in the solution design for the GSCND problem. Our findings show that managers benefited from utilising optimisation methods from OM in the way these were integrated by our novel decision support framework, which combines mixed-integer linear programming (MILP), the Analytical Hierarchy Process (AHP) and the Pareto front in an innovative way.…”