. (2017) 'How purchasing and supply management practices aect key success factors : the case of the oshore-wind supply chain.', Journal of business and industrial marketing., 32 (2). pp. 218-226. Further information on publisher's website:https://doi.org/10.1108/JBIM-10-2014-0210Publisher's copyright statement:This article is c Emerald Group Publishing and permission has been granted for this version to appear here http://dro.dur.ac.uk/17209/. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited.
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ABSTRACTPurpose-In reference to the offshore-wind industry, this study shows that innovative purchasing and supply management practices can increase not only firm-but also industrylevel performance. This article also includes a description of the offshore-wind supply chain, which remains under studied in academic literature, despite increasing global development of offshore-wind farms.Design/Methodology/Approach-Offshore-wind farm projects employ more and larger turbines, which greatly increase the complexity of the supply chain. Innovative purchasing and supply management practices, designed to tackle this growing complexity, could help companies achieve the key success factors that define this industry. The evidence comes from real-world, offshore-wind farm projects, with the London Array farm as a principal example.Findings-Innovative purchasing and supply management practices include decisions to make or buy, contract forms and local-to-global sourcing. These practices affect the key success factors of the industry by increasing competition, capabilities, and control.Originality/value-Purchasing and supply management practices could affect industry-level performance. This article is among the first ones to provide an analysis of the offshore-wind supply chain and its evolution.
This article presents a metocean modelling methodology using a Markov-switching autoregressive model to produce stochastic wind speed and wave height time series, for inclusion in marine risk planning software tools. By generating a large number of stochastic weather series that resemble the variability in key metocean parameters, probabilistic outcomes can be obtained to predict the occurrence of weather windows, delays and subsequent operational durations for specific tasks or offshore construction phases. To cope with the variation in the offshore weather conditions at each project, it is vital that a stochastic weather model is adaptable to seasonal and inter-monthly fluctuations at each site, generating realistic time series to support weather risk assessments. A model selection process is presented for both weather parameters across three locations, and a personnel transfer task is used to contextualise a realistic weather window analysis. Summarising plots demonstrate the validity of the presented methodology and that a small extension improves the adaptability of the approach for sites with strong correlations between wind speed and wave height. It is concluded that the overall methodology can produce suitable wind speed and wave time series for the assessment of marine operations, yet it is recommended that the methodology is applied to other sites and operations, to determine the method’s adaptability to a wide range of offshore locations.
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