Sustainability assessment of alternative end-uses for disused areas based on multi-criteria decision-making method

Feo, Giovanni De; Gisi, Sabino De; Vita, Sabato De; Notarnicola, Michele

doi:10.1016/j.scitotenv.2018.03.016

Cited by 9 publications

(3 citation statements)

References 39 publications

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“…MCDA is a methodology used for making decisions when multiple criteria/variables or objectives need to be considered together to select or rank among the alternatives being evaluated [16,63]. The integration of the Delphi approach and MCDA has widely been used in sustainability-related research [16,[64][65][66].…”

Section: Methodsmentioning

confidence: 99%

Prioritizing Indicators for Sustainability Assessment in Manufacturing Process: An Integrated Approach

et al. 2022

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Sustainable manufacturing has renewed attention among researchers to address various sustainability challenges in manufacturing industries. Sustainability assessments of manufacturing organizations help minimize the negative environmental impact and enhance reputation among public and regulatory agencies. To assess the sustainability of the manufacturing process; it is indispensable to investigate the structured set of triple bottom line (3BL) indicators. Moreover, there is no comprehensive and structured set of 3BL indicators that can effectively assess the sustainability of any organization’s manufacturing process. This research aims to identify and prioritize experts’ consensus structured set of 3BL indicators. The 3BL indicators were identified through an open-ended questionnaire. The prioritization was performed through the Best-Worst Scaling (BWS) approach. Further, Multi-Criteria Decision Analysis (MCDA) method was utilized to draw the consensus ranking of sustainability indicators in manufacturing. The findings indicated that the release of greenhouse/harmful gas is the best indicator in the perspective of environmental criteria followed by the rate of contribution to society and operational cost are the most important critical indicator in the case of social and economic sustainability criteria. The outcome of the present study will facilitate researchers and practitioners in developing suitable readiness and operational plans for the sustainability assessment of the manufacturing process.

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Section: Methodsmentioning

confidence: 99%

Prioritizing Indicators for Sustainability Assessment in Manufacturing Process: An Integrated Approach

et al. 2022

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“…This qualitative survey method contributes to a higher efficiency of quantitative techniques such as MCDA (De Carvalho et al, 2017;Kendall, 1970). A combination of Delphi and MCDA is already widely applied in the topic of sustainability (Chiu et al, 2018;De Feo et al, 2018;Zhao and Li, 2016).…”

Section: Methodsmentioning

confidence: 99%

Sustainability indicators for biobased chemicals: A Delphi study using Multi-Criteria Decision Analysis

Schoubroeck

Springael

Dael

et al. 2019

Resources, Conservation and Recycling

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Biobased chemistry has gained interest and has the potential to tackle some of the sustainability challenges the chemical industry must endure. Sustainability impacts need to be evaluated and monitored to highlight the advantages and pitfalls of different biobased routes over the entire product life cycle. This study aims for expert consensus concerning indicators needed and preferred for sustainability analysis of biobased chemicals in Europe. Experts are consulted by means of a Delphi method with stakeholders selected from three core groups: the private, public and academic sector. Best-Worst Scaling (BWS) is performed to gather data on the prioritization of the sustainability indicators per respondent. Afterwards, Multi-Criteria Decision Analysis (MCDA) is used to develop a consensus ranking among the experts. The results show that GHG emissions, market potential and acceptance of biobased materials are deemed the most crucial indicators for respectively environmental, economic and social sustainability. Expert consensus is positive in all three sustainability domains, with the strongest consensus measured for environmental sustainability showing a median Kendall's τ of 0.63 (τ ranging from -1 to 1) and the weakest consensus found within social sustainability showing a median Kendall's τ of 0.50. Further research can apply the ranked indicators on specific case studies to evaluate the practicability of the defined indicator set.

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“…Landfills are typically located in suburban areas, away from densely populated areas. In order to reduce the transportation cost of garbage, the distance between the landfill site and the urban area and the road conditions should be considered [ 44 ]. In addition, because of the "NIMBY" effect of garbage trucks, cities often set garbage truck driving hours between 3 a.m. and 5 a.m.…”

Section: The Case On Site Selection Assessment For Landfillmentioning

confidence: 99%

A novel MADM algorithm for landfill site selection based on q-rung orthopair probabilistic hesitant fuzzy power Muirhead mean operator

2021

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With the rapid development of economy and the acceleration of urbanization, the garbage produced by urban residents also increases with the increase of population. In many big cities, the phenomenon of "garbage siege" has seriously affected the development of cities and the lives of residents. Sanitary landfill is an important way of municipal solid waste disposal. However, due to the restriction of social, environmental and economic conditions, landfill site selection has become a very challenging task. In addition, landfill site selection is full of uncertainty and complexity due to the lack of cognitive ability of decision-makers and the existence of uncertain information in the decision-making process. Therefore, a novel multi-attribute decision making method based on q-rung orthopair probabilistic hesitant fuzzy power weight Muirhead mean operator is proposed in this paper, which can solve the problem of landfill site selection well. This method uses probability to represent the hesitance of decision maker and retains decision information more comprehensively. The negative effect of abnormal data on the decision result is eliminated by using the power average operator. Muirhead mean operator is used to describe the correlation between attributes. Then, an example of landfill site selection is given to verify the effectiveness of the proposed method, and the advantages of the proposed method are illustrated by parameter analysis and comparative analysis. The results show that this method has a wider space for information expression, gives the decision maker a great degree of freedom in decision-making, and has robustness.

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Sustainability assessment of alternative end-uses for disused areas based on multi-criteria decision-making method

Cited by 9 publications

References 39 publications

Prioritizing Indicators for Sustainability Assessment in Manufacturing Process: An Integrated Approach

Prioritizing Indicators for Sustainability Assessment in Manufacturing Process: An Integrated Approach

Sustainability indicators for biobased chemicals: A Delphi study using Multi-Criteria Decision Analysis

A novel MADM algorithm for landfill site selection based on q-rung orthopair probabilistic hesitant fuzzy power Muirhead mean operator

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