Determination of the most suitable technology transfer strategy for wind turbines using an integrated AHP-TOPSIS decision model

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dc.contributor.authorDinmohammadi, A.
dc.contributor.authorShafiee, Mahmood
dc.date.accessioned2017-05-31T13:06:10Z
dc.date.available2017-05-31T13:06:10Z
dc.date.issued2017-05-06
dc.description.abstractThe high-speed development of industrial products and goods in the world has caused “technology” to be considered as a crucial competitive advantage for most large organizations. In recent years, developing countries have considerably tended to promote their technological and innovative capabilities through importing high-tech equipment owned and operated by developed countries. There are currently a variety of solutions to transfer a particular technology from a developed country. The selection of the most profitable technology transfer strategy is a very complex decision-making problem for technology importers as it involves different technical, environmental, social, and economic aspects. In this study, a hybrid multiple-criteria decision making (MCDM) model based on the analytic hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) is proposed to evaluate and prioritise various technology transfer strategies for wind turbine systems. For this purpose, a number of criteria and sub-criteria are defined from the viewpoint of wind energy investors, wind turbine manufacturers, and wind farm operators. The relative importance of criteria and sub-criteria with respect to the ultimate goal are computed using the eigenvalue method and then, the technology transfer alternatives are ranked based on their relative closeness to the ideal solution. The model is finally applied to determine the most suitable wind turbine technology transfer strategy among four options of reverse engineering, technology skills training, turn-key contracts, and technology licensing for the renewable energy sector of Iran, and the results are compared with those obtained by classical decision-making models.en_UK
dc.identifier.citationA. Dinmohammadi and M. Shafiee. Determination of the most suitable technology transfer strategy for wind turbines using an integrated AHP-TOPSIS decision model. Energies, 2017, Vol. 10, Iss. 5, article number 642en_UK
dc.identifier.issn1996-1073
dc.identifier.urihttp://dx.doi.org/10.3390/en10050642
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/11946
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International (CC BY 4.0) You are free to: Share — copy and redistribute the material in any medium or format, Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
dc.subjecttechnology transferen_UK
dc.subjectwind turbineen_UK
dc.subjectdesign and manufactureen_UK
dc.subjectmultiple-criteria decision making (MCDM)en_UK
dc.subjectanalytic hierarchy process (AHP)en_UK
dc.subjecttechnique for order of preference by similarity to ideal solution (TOPSIS)en_UK
dc.titleDetermination of the most suitable technology transfer strategy for wind turbines using an integrated AHP-TOPSIS decision modelen_UK
dc.typeArticleen_UK

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