Raw material criticality assessment with weighted indicators: An application of fuzzy analytic hierarchy process

Kim, Juhan; Lee, Jungbae; Kim, Bum Choong

doi:10.1016/j.resourpol.2019.01.005

Cited by 20 publications

(8 citation statements)

References 48 publications

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“…It quantifies the qualitative factors and derives the relative importance of each constructed indicator. The methodological validity of the AHP has been proven [41]. The AHP plays an important role in solving problems in the real world [44], but it does not consider the fuzziness of decision-makers [45] and thus can produce biased results [46].…”

Section: Methodsmentioning

confidence: 99%

“…The fuzzy AHP, which is a comprehensive extension of the classic AHP method, can overcome the limitations of AHP by considering the fuzziness of the decision maker [42]. The fuzzy AHP provides a more adequate explanation of the decision-making process than the traditional AHP method [41,42,50]. For this reason, we calculated the relative importance of each indicator using the fuzzy AHP.…”

Section: Methodsmentioning

confidence: 99%

“…Using expert interviews, we proposed investment evaluation indicators that should be considered for efficient investment in solar PV projects from the financial investment perspective. Fuzzy AHP can also consider the fuzziness of decision makers [41,42]. Fuzzy AHP was applied to derive weights for each indicator.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation Model for Investment in Solar Photovoltaic Power Generation Using Fuzzy Analytic Hierarchy Process

Kim

2019

Sustainability

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Owing to rapid growth in the Asian solar photovoltaic (PV) power market, decision-making models are required to develop efficient investment strategies. Previous studies have largely focused on technological conditions and macroeconomic indicators, but not on the increasing needs of the financial sector. In this study, we developed an evaluation model of solar PV investment and financial factors at the project level. The model applies the fuzzy analytic hierarchy process and selects appropriate evaluation indicators for investment by emphasizing financial factors such as access to finance and exit strategies after the initial investment. Furthermore, we derived the relative importance of the indicators for each stakeholder. Stakeholder analysis enables comparison by quantifying the risks of each market participant. Economic factors (71.57%) were selected as the most important evaluation factors, followed by policy factors (16.26%), and technical factors (12.17%). Higher weights were assigned to indicators that directly affect profitability. Stakeholders showed significant differences in policy factors. Power generation companies showed higher weight values in policy factors than other groups. Quantification of differences in perceptions provides basic data for establishing effective investment strategies and developing policies. Therefore, the proposed model will contribute to more efficient solar PV project development.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Evaluation Model for Investment in Solar Photovoltaic Power Generation Using Fuzzy Analytic Hierarchy Process

Kim

2019

Sustainability

Self Cite

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“…It can be observed that there is a shift towards a more holistic approach in the analysis of waste management [17][18][19], and reducing environmental impact is the priority for future generations. Waste minimisation techniques should be implemented as well, considering the principles of sustainable development [20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

“…The goal of waste management is slowly changing in the European Union. It can be observed that there is a shift towards a more holistic approach in the analysis of waste management [17][18][19], and reducing environmental impact is the priority for future generations.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Waste Logistics and the Development of Trade in Recyclable Raw Materials in Poland and Hungary

Mesjasz-Lech

Michelberger

2019

Sustainability

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This article aims to propose a methodological framework to determine the degree of the dynamic impact of the effect of activities in the field of sustainable waste logistics on the development of trade in recyclable raw materials in the chosen countries of the European Union, especially in Poland and Hungary. In order to determine the dynamic interdependence between the indicated phenomena, econometric tools associated with the vector autoregression model were used, namely: Granger causality tests, impulse response function and variance decomposition of forecast errors. The tools used will not only identify the direction of the causal interdependence between the effects of sustainable logistics activities and the development of trade in recyclable raw materials, but also allow to determine the strength of the interaction between these variables. The conducted research shows that changes in the environmental effects of waste logistics activities are the Granger cause of changes occurring in the trade of renewable raw materials, especially in Hungary. Considering adequately delayed values of the synthetic development measure of the environmental effects of waste logistics increases the accuracy of predictions for changes in the trade of recyclable raw materials.

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Development of an evaluation indicator for highway climate change adaptation projects based on analytical hierarchy process in South Korea

Song,

Yum,

Yun

et al. 2024

Meteorological Applications

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Owing to climate change, abnormal climate phenomena occur frequently, damaging aging highway facilities. Therefore, it is necessary to develop adaptation projects for highway systems. Adaptation projects focus on mitigating the impact of climate change on highway facilities and enabling safe use. The present study aims to develop quantified evaluation indicators that are necessary for planning and selecting appropriate climate change adaptation projects. By analysing previous studies, the most important factors to be considered in the evaluation process of climate change adaptation projects were defined, and 20 preliminary evaluation indicators were divided into three layers. A feasibility study for each class was performed on the preliminary evaluation indicators by an expert panel; 16 evaluation indicators were selected through a feasibility study, and the weight of each indicator was calculated using the analytical hierarchy process (AHP) method. The priority of the evaluation indicators was service improvement through adaptation projects (weight 8.76), cost reduction and job creation (weight 8.46), and climate change impact reduction and vulnerability reduction (weight 8.31). These quantified evaluation indicators can help organizations that manage highways respond to climate change and establish adaptation projects.

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Raw material criticality assessment with weighted indicators: An application of fuzzy analytic hierarchy process

Cited by 20 publications

References 48 publications

Evaluation Model for Investment in Solar Photovoltaic Power Generation Using Fuzzy Analytic Hierarchy Process

Evaluation Model for Investment in Solar Photovoltaic Power Generation Using Fuzzy Analytic Hierarchy Process

Sustainable Waste Logistics and the Development of Trade in Recyclable Raw Materials in Poland and Hungary

Development of an evaluation indicator for highway climate change adaptation projects based on analytical hierarchy process in South Korea

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