Determination of the Most Suitable Technology Transfer Strategy for Wind Turbines Using an Integrated AHP-TOPSIS Decision Model

The 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...

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Main Authors: A. Dinmohammadi, M. Shafiee
Format: Article
Language:English
Published: MDPI AG 2017-05-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/10/5/642
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author A. Dinmohammadi
M. Shafiee
author_facet A. Dinmohammadi
M. Shafiee
author_sort A. Dinmohammadi
collection DOAJ
description The 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.
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spelling doaj.art-42b5534314344dc2bf17e722d254938c2022-12-22T04:21:08ZengMDPI AGEnergies1996-10732017-05-0110564210.3390/en10050642en10050642Determination of the Most Suitable Technology Transfer Strategy for Wind Turbines Using an Integrated AHP-TOPSIS Decision ModelA. Dinmohammadi0M. Shafiee1Faculty of Management, Kharazmi University, Tehran, IranCranfield University, Bedfordshire MK43 0AL, UKThe 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.http://www.mdpi.com/1996-1073/10/5/642technology transferwind turbinedesign and manufacturemultiple-criteria decision making (MCDM)analytic hierarchy process (AHP)technique for order of preference by similarity to ideal solution (TOPSIS)
spellingShingle A. Dinmohammadi
M. Shafiee
Determination of the Most Suitable Technology Transfer Strategy for Wind Turbines Using an Integrated AHP-TOPSIS Decision Model
Energies
technology transfer
wind turbine
design and manufacture
multiple-criteria decision making (MCDM)
analytic hierarchy process (AHP)
technique for order of preference by similarity to ideal solution (TOPSIS)
title Determination of the Most Suitable Technology Transfer Strategy for Wind Turbines Using an Integrated AHP-TOPSIS Decision Model
title_full Determination of the Most Suitable Technology Transfer Strategy for Wind Turbines Using an Integrated AHP-TOPSIS Decision Model
title_fullStr Determination of the Most Suitable Technology Transfer Strategy for Wind Turbines Using an Integrated AHP-TOPSIS Decision Model
title_full_unstemmed Determination of the Most Suitable Technology Transfer Strategy for Wind Turbines Using an Integrated AHP-TOPSIS Decision Model
title_short Determination of the Most Suitable Technology Transfer Strategy for Wind Turbines Using an Integrated AHP-TOPSIS Decision Model
title_sort determination of the most suitable technology transfer strategy for wind turbines using an integrated ahp topsis decision model
topic technology transfer
wind turbine
design and manufacture
multiple-criteria decision making (MCDM)
analytic hierarchy process (AHP)
technique for order of preference by similarity to ideal solution (TOPSIS)
url http://www.mdpi.com/1996-1073/10/5/642
work_keys_str_mv AT adinmohammadi determinationofthemostsuitabletechnologytransferstrategyforwindturbinesusinganintegratedahptopsisdecisionmodel
AT mshafiee determinationofthemostsuitabletechnologytransferstrategyforwindturbinesusinganintegratedahptopsisdecisionmodel