scholarly journals Corrigendum to “Multi-criteria decision-making in the location selection for a solar PV power plant using AHP” [Measurement 129 (2018) 218–226]

Measurement ◽  
2020 ◽  
Vol 153 ◽  
pp. 107384 ◽  
Author(s):  
Seda Turk ◽  
Gokham Sahin
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Multi Criteria Decision Making ◽  
Solar Pv ◽  
Location Selection ◽  
Selection For

scholarly journals SOLAR PV POWER PLANT LOCATION SELECTION USING A Z- FUZZY NUMBER BASED AHP

2018 ◽  
Vol 10 (3) ◽  
Author(s):  
Cengiz Kahraman ◽  
Irem Otay
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Solar Energy ◽  
Set Theory ◽  
Fuzzy Set Theory ◽  
Fuzzy Numbers ◽  
Plant Location ◽  
Multi Criteria Decision Making ◽  
Solar Pv ◽  
Location Selection

One of the most used renewable energy systems to produce clean and sustainable energy are solar energy photovoltaic (PV) plants. The selection among solar energy PV plant location alternatives requires a multi-criteria decision making approach with several conflicting and linguistic criteria. The assessment process is generally done in a vague and imprecise environment. Fuzzy set theory is often very beneficial for evaluating the subjective judgments of decision makers. The Analytic Hierarchy Process is the most used multi-criteria decision making method in the world because of its simplicity and efficiency. In this paper, we select a location for a solar energy PV plant using a 4-level hierarchy. We consider several criteria and sub-criteria including initial cost, maintenance cost, slope and distance to highways. A Z-fuzzy number is a relatively new concept in fuzzy set theory that enables one to circumvent the limitations of ordinary fuzzy numbers. Z-fuzzy numbers can be viewed as a combination of crisp numbers, intervals, fuzzy numbers and random numbers because of their generality. They give a better representation than ordinary fuzzy numbers. This study solves the multi-criteria solar PV power plant location selection problem with a Z-fuzzy based AHP method. To check the applicability of the method proposed here, a real-life case study from Turkey is presented and solved.

scholarly journals Fuzzy Complex Proportional Assessment Applied in Location Selection for Installation of Photovoltaic Plants

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6260
Author(s):  
Paulo Antônio Xavier Furtado ◽  
Antônio Vanderley Herrero Sola
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Southern Brazil ◽  
Location Selection ◽  
Business Sustainability ◽  
Sustainability Criteria ◽  
Suitability Index ◽  
Selection For ◽  
Photovoltaic Plants ◽  
Alternative Sites

This article proposes the application of a multi-criteria decision-making method based on fuzzy complex proportional assessment (COPRAS-F), applying business sustainability criteria, to rank alternative sites for the installation of photovoltaic plants, as selected from a geographic suitability index map of vast and heterogeneous regions in Southern Brazil, obtained from a geographic information system. As a key feature, the methodology serves the interests of stakeholders during decision-making meetings in a personalized manner, eliminating the need for consensus to overcome conflicts and antagonistic positions, allowing them to maintain a strictly professional view and to communicate in business language. The results indicate that the best location from a geographical viewpoint may not be the best location from a business viewpoint.

scholarly journals Multi-Criteria Decision Making (MCDM) Approaches for Solar Power Plant Location Selection in Viet Nam

Energies ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 1504 ◽  
Author(s):  
Chia-Nan Wang ◽  
Van Thanh Nguyen ◽  
Hoang Tuyet Nhi Thai ◽  
Duy Hung Duong
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Solar Power ◽  
Plant Location ◽  
Viet Nam ◽  
Multi Criteria Decision Making ◽  
Solar Power Plant ◽  
Location Selection

scholarly journals Multi-criteria decision-making model for supporting manufacturing settlements location in Africa after COVID-19

2021 ◽  
Vol 13 ◽  
pp. 184797902110233
Author(s):  
Stefania Bait ◽  
Serena Marino Lauria ◽  
Massimiliano M. Schiraldi
Keyword(s):  
Decision Making ◽  
Value Chain ◽  
Multinational Enterprises ◽  
Value Added ◽  
Plant Performance ◽  
Multi Criteria Decision Making ◽  
African Countries ◽  
Analytic Hierarchy ◽  
Location Selection ◽  
Decision Making Model

The COVID-19 emergency is affecting manufacturing industries all over the world. Notably, it has generated several issues in the products’ supply and the global value chain in African countries. Besides this, Africa’s manufacturing value-added rate grew only 1.5 since 2018, and the foreign direct investment (FDI) from multinational enterprises (MNEs) remains very low due to high-risk factors. Most of these factors are linked to a non-optimized location selection that can adversely affect plant performance. For these reasons, supporting decision-makers in selecting the suitable country location in Africa is crucial, both for contributing to countries’ growth and companies’ performance. This research aims at presenting a comprehensive multi-criteria decision-making model (MCDM) to be used by MNEs to evaluate the best countries to develop new manufacturing settlements, highlighting the criteria that COVID-19 has impacted. Thus, it has affected countries’ performance, impacting the plant location selection choices. A combination of the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods have also been used for comparative analysis. The criteria used in the proposed approach have been validated with a panel of MNEs experts.

Site selection for artificial reefs using a new combine Multi-Criteria Decision-Making (MCDM) tools for coral reefs in the Kish Island – Persian Gulf

2015 ◽  
Vol 111 ◽  
pp. 92-102 ◽  
Author(s):  
Seyed Hassan Mousavi ◽  
Afshin Danehkar ◽  
Mohammad Reza Shokri ◽  
Hadi Poorbagher ◽  
Danial Azhdari
Keyword(s):  
Decision Making ◽  
Coral Reefs ◽  
Site Selection ◽  
Persian Gulf ◽  
Artificial Reefs ◽  
Multi Criteria Decision Making ◽  
Selection For
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