Sustainable Location Selection of Data Centers: Developing a Multi-Criteria Set-Covering Decision-Making Methodology
Siamak Kheybari,
Mansoor Davoodi Monfared (),
Hadis Farazmand () and
Jafar Rezaei ()
Additional contact information
Siamak Kheybari: Department of Management, Ferdowsi University of Mashhad, Mashhad, Iran
Mansoor Davoodi Monfared: #x2020;Department of Computer Sciences and Information Technology, Institute for Advanced Studies in Basic Sciences, Zanjan, Iran
Hadis Farazmand: Department of Management, Ferdowsi University of Mashhad, Mashhad, Iran
Jafar Rezaei: #x2021;Faculty of Technology, Policy and Management, Delft University of Technology, Jaffalaan 5, 2628 BX Delft, The Netherlands
International Journal of Information Technology & Decision Making (IJITDM), 2020, vol. 19, issue 03, 741-773
Abstract:
In this paper, a multi-criteria set-covering methodology is proposed to select suitable locations for a set of data centers. First, a framework of criteria, with social, economic and environmental dimensions, is presented. The framework is used to calculate the suitability of potential data center locations in Iran. To that end, a sample of specialists in Iran was asked to take part in an online questionnaire, based on best–worst method (BWM), to determine the weight of the criteria included in the proposed framework, after which a number of potential locations are evaluated on the basis of the criteria. The proposed model is evaluated under a number of settings. Using the proposed multi-criteria set-covering model, not only the utility of candidate places is evaluated by sustainability criteria but also all service applicants are covered by at least one data center with a specific coverage radius.
Keywords: Data center; location selection; best–worst method (BWM); sustainability framework; linear set-covering model; conditional performance (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:19:y:2020:i:03:n:s0219622020500157
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DOI: 10.1142/S0219622020500157
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