A hybrid approach based on MCDM methods and Monte Carlo simulation for sustainable evaluation of potential solar sites in east of Iran

Kannan, Devika; Moazzeni, Sahar; Darmian, Sobhan Mostafayi; Afrasiabi, Ahmadreza

doi:10.1016/j.jclepro.2020.122368

Cited by 124 publications

(35 citation statements)

References 100 publications

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“…for building the prediction models based on various risk factors. These type of approaches were provided the effective results in the previous researches (Yi et al 2018 ; Castillo and Melin 2020 ; Dansana et al 2020 ; Kannan et al 2020 ; Melin et al 2020a , b ). The compulsory input (on the linguistic scale) from all decision-makers may be gathered independently for optimum weight computation of the risk factors using BWM.…”

Section: Conclusion Limitations and Future Scopementioning

confidence: 94%

RETRACTED ARTICLE: An integrated multi-criteria decision-making approach for identifying the risk level of musculoskeletal disorders among handheld device users

2021

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In work-from-home (WFH) situation due to coronavirus (COVID-19) pandemic, the handheld device (HHD) users work in awkward postures for longer hours because of unavailability of ergonomically designed workstations. This problem results in different type of musculoskeletal disorders (MSDs) among the HHD users. An integrated multi-criteria decision-making approach was offered for identifying the risk level of MSDs among HHD users. A case example implemented the proposed approach in which, firstly, the best–worst method (BWM) technique was used to prioritize and determine the relative importance (weightage) of the risk factors. The weightages of the risk factors further used to rank the seven alternatives (HHD users) using Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) technique. The outcomes of the BWM investigation showed that the three most significant risk factors responsible for MSDs are duration of working, poor working posture and un-ergonomic design. The outcome of the VIKOR technique exhibited that computer professionals were at the highest risk among all users. The risk factor priority must be used for designing a working strategy for the WFH situation which will help to mitigate the risks of MSDs.

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Section: Conclusion Limitations and Future Scopementioning

confidence: 94%

RETRACTED ARTICLE: An integrated multi-criteria decision-making approach for identifying the risk level of musculoskeletal disorders among handheld device users

2021

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“…MCDM techniques come in a variety of forms such as Analytic hierarchy process (Saaty, 1980), Analytic network process , Best worst method (Rezaei, 2015), Technique for Order of Preference by Similarity to Ideal Solution (Hwang & Yoon, 1981), VlseKriterijumska Optimizacija I Kompromisno Resenje(VIKOR) that means: Multicriteria Optimization and Compromise Solution (Opricovic & Tzeng, 2007), ELimination Et Choix Traduisant la REalité (ELECTR) ( Roy, 1968), Preference ranking organization method for enrichment evaluation (Brauers, 2003), Multi-Objective Optimization based on Ratio Analysis ( Zavadskas, 2007), etc. and these methods can be used in many different areas such as manufacturing industry (Nallusamy et al, 2016;Vigneshvaran & Vinodh, 2021;Jamwal et al, 2021), Logistics and Transport (Tzeng & Huang, 2012;Kumru & Kumru, 2014;Mardani et al, 2016), electronic industry(Aravind et al, 2014Asante et al, 2019), shipping industry (Seker et al, 2017;Gavalas et al, 2021), hydrology and water management(de Castro-Pardo et al, 2021;Dey et al, 2021), telecommunication industry (Lin et al, 2010;Hussain et al, 2019), energy management (Ecer, 2021;Kannan et al, 2021)…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique

Sahoo¹,

Choudhury²

2022

10.5267/j.dsl

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The decision to purchase the best available electric power wheelchair (EPWC) for a person with a disability in a low-resource context is very stressful, whether it is based on financial circumstances or the availability of medical solutions. The study's objective is to assess the EPWC options available on the market, focused on a set of conflicting criteria. In this research, three multi-criteria decision-making (MCDM) approaches are used to make decisions. ENTROPY method for weightage calculation of various parameters, COPRAS and EDAS methods for evaluating and ranking alternatives are applied. Both COPRAS and EDAS are applied separately for ranking of selected wheelchair models, and to check the robustness of the applied method, sensitivity analysis on cost criterion is carried out. The result shows that for both methods, EPWC-1 is the top priority model to buy, whereas EPWC-7 is the worst model for COPRAS, and EPWC-10 is the worst model for EDAS among the ten alternatives.

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“…7 Due to the considerable population growth and technological advancements, Iran's energy consumption is growing year by year. 8,9 Figure 1 shows electricity consumption by different sectors over 29 years. 1 As can be seen, residential and industrial sectors are pioneers in electricity consumption.…”

Section: Introductionmentioning

confidence: 99%

Techno‐economic optimization of a grid‐connected hybrid energy system considering electric and thermal load prediction

Qiu

Faraji

2021

Energy Science & Engineering

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A hybrid approach based on MCDM methods and Monte Carlo simulation for sustainable evaluation of potential solar sites in east of Iran

Cited by 124 publications

References 100 publications

RETRACTED ARTICLE: An integrated multi-criteria decision-making approach for identifying the risk level of musculoskeletal disorders among handheld device users

RETRACTED ARTICLE: An integrated multi-criteria decision-making approach for identifying the risk level of musculoskeletal disorders among handheld device users

Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique

Techno‐economic optimization of a grid‐connected hybrid energy system considering electric and thermal load prediction

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