Ground-mounted photovoltaic power station site selection and economic analysis based on a hybrid fuzzy best-worst method and geographic information system: A case study Guilan province

Fard, Moein Besharati; Moradian, Parisa; Emarati, Mohammadreza; Ebadi, Mehdi; Chofreh, Abdoulmohammad Gholamzadeh; Klemeš, Jiří Jaromír

doi:10.1016/j.rser.2022.112923

Cited by 13 publications

(6 citation statements)

References 48 publications

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“…Finally, optimizing the distribution of vector-borne diseases in India based on best-worst multicriteria decision-making methods has signi cant implications for optimization (Bengal 2018). Public health o cials and decision-makers can reduce the burden of these diseases on society and public health by applying a more comprehensive and collaborative approach to evaluating criteria and prioritizing interventions.…”

Section: Discussionmentioning

confidence: 99%

“…It is a systematic approach for determining the most important factors that contribute to the distribution of vector-borne diseases in India using the best-worst multicriteria decision-making method. With this method, it is possible to rank and prioritize factors according to their impact factor, which will aid in developing effective interventions and control measures (Besharati Fard et al 2022;Munim et al 2022).…”

Section: Introductionmentioning

confidence: 99%

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Optimizing the impact of vector-borne diseases in India through the best-worst multicriteria decision-making method for prioritizing their distribution based on impact factor

Abishek,

2024

Preprint

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The term mosquito-borne disease refers to diseases transmitted by mosquitoes. Emerging or re-emerging diseases occur in a previously uninfected region, group, or individual. Several infectious diseases can cause dengue, chikungunya, Zika, West Nile fever, and malaria, for example. As a result of competent mosquitoes and frequent travel to endemic areas, these diseases are likely to emerge or re-emerge in India. Several factors affect the distribution of vectors and/or diseases, including climate conditions, meteorological conditions, the environment, and demographic factors. Several countries with similar environmental conditions such as China, Nepal, Pakistan, Bangladesh, and Bhutan are examined in this paper. It will also identify mosquito vector introductions or spreads. Multicriteria decision-making is used in India to prioritize diseases. In accordance with PRISMA guidelines, we identified, selected, and evaluated relevant studies. 223 of the 469 articles identified in the databases were reviewed. 47 articles between 2000 and 2017 were included in the data set. In the papers, dengue, zika, and chikungunya were discussed. Population density, precipitation, and temperature influenced results. Temperature, precipitation, and NDVI are the most commonly used variables. In 23% of the articles, temperature, precipitation, and water indexes were the largest variables. Recent publications on mosquito-borne diseases indicate that mosquito-borne diseases are becoming more important in India. Environmental and climatic factors influence emerging diseases' spatial distribution and emergence.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimizing the impact of vector-borne diseases in India through the best-worst multicriteria decision-making method for prioritizing their distribution based on impact factor

Abishek,

2024

Preprint

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“…It has been recognized for its superior consistency, accuracy, and compliance in comparison to other MCDM methods (Guo & Zhao, 2017). Recent applications of BWM include the classification and ranking of key factors and external influences in I4.0 technology adoption (El Baz et al, 2022), site selection for power stations (Besharati Fard et al, 2022), prioritization of key success factors in sustainable Lean Six Sigma implementation (Swarnakar et al, 2022), sustainability assessments in urban transportation (Yucesan et al, 2024), and supply chain disruption evaluations (Ali et al, 2023). This study employs BWM for determining criteria weights, leveraging these advantages.…”

Section: Literature Reviewmentioning

confidence: 99%

Strategic Application of Industry 4.0 Technologies in Enhancing Intermodal Transport Terminal Efficiency

Krstić,

Tadić,

Brnjac

2023

JOTE

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In the realm of contemporary logistics, the criticality of intermodal terminals as central nodes for seamless cargo transitions between various transportation modes is well-recognized. This study focuses on the strategic integration of Industry 4.0 (I4.0) technologies to advance the operational efficiency of these terminals. A hybrid Multiple Criteria Decision Making (MCDM) methodology, amalgamating the Best-Worst Method (BWM) and Axial Distance based Aggregated Measurement (ADAM), is employed for a systematic evaluation. This approach facilitates the identification and prioritization of key I4.0 technologies. Findings of this study underscore the paramount importance of the Internet of Things (IoT), Artificial and Ambient Intelligence, and Autonomous and Automated Guided Vehicles in revolutionizing terminal efficiency. The efficacy of the proposed hybrid model is demonstrated in its capacity to generate practical, insightful recommendations for technology selection, thereby guiding stakeholders in making informed investments. These investments are projected to significantly enhance the operational capabilities of intermodal terminals and, by extension, the efficiency of the overall supply chain. The contribution of this study lies in its addressal of the existing research gap concerning the applicability and selection of I4.0 technologies in intermodal transport terminals (ITTs). It offers a novel, pragmatic framework for stakeholders within the logistics sector, aimed at facilitating the modernization and optimization of terminal operations. The insights and strategic directions provided herein are anticipated to be of substantial value to those endeavoring to navigate the complexities of terminal modernization in the era of I4.0.

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“…J o u r n a l P r e -p r o o f Due to the cost and time consuming of site surveying, the GIS technique became popular and it can reduce the challenges of finding the optimum location through site surveying (Fard et al, 2021;Zaidi and Khan, 2018). GIS can analyze, combine, and recover spatial information in different formats of quantitative, descriptive and qualitative scenarios (Church, 2002;Fard et al, 2022). The interdisciplinary characters of GIS make it possible to be applied in a wide variety of research activities and make an analytical framework for space management, which have improved its popularity (Diaz and Soares, 2020;Gorsevski et al, 2012).…”

Section: Gismentioning

confidence: 99%

Sustainable waste-to-energy plant site selection by a hybrid method of geographic information system and evidential reasoning: A case study Guilan province

Fard

Hamedani

Ebadi

et al. 2023

Process Safety and Environmental Protection

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Ground-mounted photovoltaic power station site selection and economic analysis based on a hybrid fuzzy best-worst method and geographic information system: A case study Guilan province

Cited by 13 publications

References 48 publications

Optimizing the impact of vector-borne diseases in India through the best-worst multicriteria decision-making method for prioritizing their distribution based on impact factor

Optimizing the impact of vector-borne diseases in India through the best-worst multicriteria decision-making method for prioritizing their distribution based on impact factor

Strategic Application of Industry 4.0 Technologies in Enhancing Intermodal Transport Terminal Efficiency

Sustainable waste-to-energy plant site selection by a hybrid method of geographic information system and evidential reasoning: A case study Guilan province

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