A decision model for technology selection in the existence of both cardinal and ordinal data

2006 ◽  
Vol 181 (2) ◽  
pp. 1600-1608 ◽  
Author(s):  
Reza Farzipoor Saen
Author(s):  
Tugrul Daim ◽  
Paul R. Newman ◽  
Hithem Sughi ◽  
Eyad Bakhsh

Saudi Arabia is moving towards economical and technological development and to be an active player in the dynamics of the international community. The economic growth in the country requires significant additional electrical power generation in order to supply this increasing demand. At present, fossil fuel (petroleum and natural gas) reserves in Saudi Arabia are reliable in terms of feeding the needs of its conventional power plants. Fossil fuels, however, are not sustainable, are subject to eventual depletion and plants using these fuels produce large amounts of CO2 emissions. The authors have examined other power generation alternatives with an eye towards achieving sustainability. These requirements have led them to propose a renewable energy source—radiant energy from the sun as the way to achieve long-term success. The region is blessed with an abundant solar flux throughout most of the year. Recognizing this, the authors propose building solar-powered electrical generation plants in the Saudi deserts, but are faced with the problem: “Which solar technology is the ideal choice for this application?” Several different technologies have been identified and analyzed. A mathematical model was constructed and used to make a selection of the optimal technology. The decision model employed to determine the optimal technology, taking account of the fact that in making such a technology selection subjective judgment is required, is the Hierarchal Decision Model (HDM). This research relied on data extracted from scientific journals and industry sources as the inputs for the Decision Model. The authors also validated their research and derived expert opinion weighting factors with international experts in the solar technology. They have applied the model to a case study to demonstrate the use of it.


Author(s):  
Marco Araújo ◽  
Love Ekenberg ◽  
Mats Danielson ◽  
João Confraria

AbstractA new European Union regulatory framework for the telecom sector has been under a process of transposition to national laws by its member states that should have been completed by the end of 2020, notwithstanding some delays. A core purpose of the regulatory framework is to guarantee that most citizens will have access to very fast Internet connections, capable of 100 Mbps download link speed, regardless of where they live. According to this new framework, in areas where the market does not deliver, governments are to launch public tenders for the deployment, maintenance, and operations of network infrastructure as well as services, and public funds should be used to support the deployment of these broadband networks in less densely populated areas. Needless to say, public tenders of this nature are subject to different criteria when it comes to candidate evaluation. In this paper, we present a decision model for the selection of operators to deploy and maintain broadband networks in scarcely populated areas, taking into consideration infrastructure costs, the technical quality offered by the solutions, and the credibility of the candidates. We suggest an integrated multi-stakeholder multi-criteria approach and demonstrate how it can be used in this complex area and find that in the example provided, taking a relevant set of criteria into the analysis, optical fibre networks hold much higher chances to be used in these public tenders compared to networks based on the broadly favoured 5G technology.


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