scholarly journals A Hybrid Fuzzy Multi-Criteria Decision-Making Approach for Data Center Location Selection

2019 ◽  
Vol 1 (1) ◽  
pp. 13-20
Author(s):  
Ferhat Yuna
Keyword(s):  
Decision Making ◽  
Data Center ◽  
Information Technologies ◽  
Data Centers ◽  
Laboratory Method ◽  
Climate Index ◽  
Fuzzy Dematel ◽  
Location Selection ◽  
Center Location ◽  
Data Center Location

In today's world, the fact that information applications have become an indispensable part of life with the effect of the developments in information technologies has led to a huge rate of data production and usage. As a result of this, the need for data centers has increased. Although Turkey is a country with advantages that can play a leading role in the field of data centers in the region where it is located, it has some disadvantages too. Some of these disadvantages are natural disasters index, climate index, energy index, accessibility index, human capital and quality of life index (HCLQ). In this context, these disadvantages are considered as criteria for data center location selection problem. In this study, criteria weights were determined by fuzzy DEMATEL (The Decision Making Trial and Evaluation Laboratory) method in the problem solving and alternatives (81 provinces) were ranked using EDAS (Evaluation based on Distance from Average Solution) method. According to the results, it was found that Istanbul is the best alternative in data center location selection.

scholarly journals A Hybrid Fuzzy Multi-Criteria Decision-Making Approach for Data Center Location Selection

2019 ◽  
Vol 1 (1) ◽  
pp. 13-20 ◽  
Author(s):  
Ferhat Yuna
Keyword(s):  
Decision Making ◽  
Data Center ◽  
Information Technologies ◽  
Data Centers ◽  
Laboratory Method ◽  
Climate Index ◽  
Fuzzy Dematel ◽  
Location Selection ◽  
Center Location ◽  
Data Center Location

In today's world, the fact that information applications have become an indispensable part of life with the effect of the developments in information technologies has led to a huge rate of data production and usage. As a result of this, the need for data centers has increased. Although Turkey is a country with advantages that can play a leading role in the field of data centers in the region where it is located, it has some disadvantages too. Some of these disadvantages are natural disasters index, climate index, energy index, accessibility index, human capital and quality of life index (HCLQ). In this context, these disadvantages are considered as criteria for data center location selection problem. In this study, criteria weights were determined by fuzzy DEMATEL (The Decision Making Trial and Evaluation Laboratory) method in the problem solving and alternatives (81 provinces) were ranked using EDAS (Evaluation based on Distance from Average Solution) method. According to the results, it was found that Istanbul is the best alternative in data center location selection.

scholarly journals A Multicriteria Decision Making Approach Based on Fuzzy Theory and Credibility Mechanism for Logistics Center Location Selection

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Bowen Wang ◽  
Haitao Xiong ◽  
Chengrui Jiang
Keyword(s):  
Decision Making ◽  
Fuzzy Theory ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Location Selection ◽  
Logistics Center ◽  
Multicriteria Decision ◽  
Model Based ◽  
Center Location ◽  
Decision Making Model

As a hot topic in supply chain management, fuzzy method has been widely used in logistics center location selection to improve the reliability and suitability of the logistics center location selection with respect to the impacts of both qualitative and quantitative factors. However, it does not consider the consistency and the historical assessments accuracy of experts in predecisions. So this paper proposes a multicriteria decision making model based on credibility of decision makers by introducing priority of consistency and historical assessments accuracy mechanism into fuzzy multicriteria decision making approach. In this way, only decision makers who pass the credibility check are qualified to perform the further assessment. Finally, a practical example is analyzed to illustrate how to use the model. The result shows that the fuzzy multicriteria decision making model based on credibility mechanism can improve the reliability and suitability of site selection for the logistics center.

scholarly journals Sustainable Location Selection of Data Centers: Developing a Multi-Criteria Set-Covering Decision-Making Methodology

2020 ◽  
Vol 19 (03) ◽  
pp. 741-773
Author(s):  
Siamak Kheybari ◽  
Mansoor Davoodi Monfared ◽  
Hadis Farazmand ◽  
Jafar Rezaei
Keyword(s):  
Data Center ◽  
Data Centers ◽  
Social Economic ◽  
Set Covering ◽  
Online Questionnaire ◽  
Location Selection ◽  
Sustainability Criteria ◽  
Proposed Model ◽  
Covering Model ◽  
Selection Of

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.

Location selection criteria for a second data center or off-site storage of materials

2017 ◽  
Vol 11 (3) ◽  
pp. 237
Author(s):  
Mitchell Cochran, MA ◽  
Paul Witman, PhD
Keyword(s):  
Environmental Factors ◽  
Data Center ◽  
Selection Criteria ◽  
Data Centers ◽  
Secondary Data ◽  
Primary Data ◽  
Earthquake Intensity ◽  
Location Selection ◽  
Single Data ◽  
Shared Risk

As organizations develop secondary data centers, it is critical that they be placed in locations that serve the organization yet do not have a shared risk with the primary data center. The organization needs to consider factors or guidelines which mitigate potential issues that could affect both the primary and secondary data center. It is impossible to eliminate all risk to a single data center but an organization needs to ensure that at least one data center remains operable. The article will propose that data centers be located 50 km or approximately 30 miles apart. The proposal is supported by evaluating earthquake intensity maps that will show that earthquakes damage drops to relatively safe levels after the 30 miles from the epicenter. The article will show that other environmental factors such as power, floods, fire, transportation, fire, and soil are also mitigated by a 30-mile separation guideline.

scholarly journals Bibliometric analysis of DEMATEL method

2021 ◽  
Vol 4 (1) ◽  
pp. 85-103
Author(s):  
Gözde Koca ◽  
◽  
Seda Yıldırım ◽  
Keyword(s):  
Decision Making ◽  
Bibliometric Analysis ◽  
Performance Indicators ◽  
Web Of Science ◽  
Laboratory Method ◽  
Cleaner Production ◽  
Fuzzy Dematel ◽  
H Index

In this study, a bibliometric analysis of the studies evaluated with DEMATEL (Decision Making Experiment and Evaluation Laboratory Method), one of the MCDM methods in Web of Science, was performed according to various performance indicators. The total number of DEMATEL publications examined is 1963 documents. When DEMATEL studies are evaluated in terms of countries, it is seen that China is the leader (553 documents; 28.17%). The most cooperative country is China. The country with the highest h-index is Taiwan (62). Journal of Cleaner Production is the most efficient journal (96; 4.88%). National Chiao Tung University (102, 5.19%) is ranked as the most efficient institution in DEMATEL research. Among the most used words are "Model", "DEMATEL", "Selection", "Management", "fuzzy DEMATEL".

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