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Combining Material Flow Analysis, Life Cycle Assessment, and Multiattribute Utility Theory
Author(s) -
Rochat David,
Binder Claudia R.,
Diaz Jaime,
Jolliet Olivier
Publication year - 2013
Publication title -
journal of industrial ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.377
H-Index - 102
eISSN - 1530-9290
pISSN - 1088-1980
DOI - 10.1111/jiec.12025
Subject(s) - life cycle assessment , industrial ecology , material flow analysis , environmental impact assessment , environmental economics , scenario analysis , product (mathematics) , cost–benefit analysis , impact assessment , service (business) , unit (ring theory) , environmental resource management , inventory analysis , environmental science , computer science , production (economics) , business , sustainability , economics , engineering , waste management , mathematics , public administration , marketing , ecology , geometry , mathematics education , finance , biology , political science , macroeconomics
Summary Three assessment methods, material flow analysis (MFA), life cycle analysis (LCA), and multiattribute utility theory (MAUT) are systematically combined for supporting the choice of best end‐of‐life scenarios for polyethylene terephthalate (PET) waste in a municipality of a developing country. MFA analyzes the material and energy balance of a firm, a region, or a nation, identifying the most relevant processes; LCA evaluates multiple environmental impacts of a product or a service from cradle to grave; and MAUT allows for inclusion of other aspects along with the ecological ones in the assessment. We first systematically coupled MFA and LCA by defining “the service offered by the total PET used during one year in the region” as the functional unit. Inventory and impacts were calculated by multiplying MFA flows with LCA impacts per kilogram. We used MAUT to include social and economic aspects in the assessment. To integrate the subjective point of view of stakeholders in the MAUT, we normalized the environmental, social, and economic variables with respect to the magnitude of overall impacts or benefits in the country. The results show large benefits for recycling scenarios from all points of view and also provide information about waste treatment optimization. The combination of the three assessment methods offers a powerful integrative assessment of impacts and benefits. Further research should focus on data collection methods to easily determine relevant material flows. LCA impact factors specific to Colombia should be developed, as well as more reliable social indicators.

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