A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Implementation of stochastic multi attribute analysis (SMAA) in comparative environmental assessments
The selection of an alternative based on the results of a comparative environmental assessment such as life cycle assessment (LCA), environmental input-output analysis (EIOA) or integrated assessment modelling (IAM) is challenging because most of the times there is no single best option. Most comparative cases contain trade-offs between environmental criteria, uncertainty in the performances and multiple diverse values from decision makers. To circumvent these challenges, a method from decision analysis, namely stochastic multi attribute analysis (SMAA), has been proposed instead. SMAA performs aggregation that is partially compensatory (hence, closer to a strong sustainability perspective), incorporates performance uncertainty in the assessment, is free from external normalization references and allows for uncertainties in decision maker preferences. This paper presents a thorough introduction of SMAA for environmental decision-support, provides the mathematical fundamentals and offers an Excel platform for easy implementation and access.
Implementation of stochastic multi attribute analysis (SMAA) in comparative environmental assessments
The selection of an alternative based on the results of a comparative environmental assessment such as life cycle assessment (LCA), environmental input-output analysis (EIOA) or integrated assessment modelling (IAM) is challenging because most of the times there is no single best option. Most comparative cases contain trade-offs between environmental criteria, uncertainty in the performances and multiple diverse values from decision makers. To circumvent these challenges, a method from decision analysis, namely stochastic multi attribute analysis (SMAA), has been proposed instead. SMAA performs aggregation that is partially compensatory (hence, closer to a strong sustainability perspective), incorporates performance uncertainty in the assessment, is free from external normalization references and allows for uncertainties in decision maker preferences. This paper presents a thorough introduction of SMAA for environmental decision-support, provides the mathematical fundamentals and offers an Excel platform for easy implementation and access.
Implementation of stochastic multi attribute analysis (SMAA) in comparative environmental assessments
Prado, Valentina (author) / Heijungs, Reinout (author)
2018-11-01
Prado , V & Heijungs , R 2018 , ' Implementation of stochastic multi attribute analysis (SMAA) in comparative environmental assessments ' , Environmental Modelling and Software , vol. 109 , pp. 223-231 . https://doi.org/10.1016/j.envsoft.2018.08.021
Article (Journal)
Electronic Resource
English
DDC:
690
| Taylor & Francis Verlag | 2018
DataCite | 1929
DataCite | 1931
DataCite | 1929
DataCite | 1930