CarbonLab: a Decision Support Tool Based on Multicriteria Optimization Integrating Life-Cycle Assessment

Research output: Contribution to conferenceAbstractAcademic

Original languageEnglish
Pages4
Number of pages4
Publication statusPublished - Sep 2018
EventSETAC Europe 24th LCA Symposium: The Role of LCA in Shaping the Future: Food, Fibre, Feed, Fertiliser, Fuel and Other Resources - Vienna, Austria
Duration: 24 Sep 201826 Sep 2018
https://lca2018.setac.org/

Conference

ConferenceSETAC Europe 24th LCA Symposium
CountryAustria
CityVienna
Period24/09/1826/09/18
Internet address

Cite this

Laurent, A., van der Meer, Y., & D'Amours, S. (2018). CarbonLab: a Decision Support Tool Based on Multicriteria Optimization Integrating Life-Cycle Assessment. 4. Abstract from SETAC Europe 24th LCA Symposium, Vienna, Austria.
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title = "CarbonLab: a Decision Support Tool Based on Multicriteria Optimization Integrating Life-Cycle Assessment",
author = "Achille Laurent and {van der Meer}, Yvonne and S. D'Amours",
year = "2018",
month = "9",
language = "English",
pages = "4",
note = "SETAC Europe 24th LCA Symposium : The Role of LCA in Shaping the Future: Food, Fibre, Feed, Fertiliser, Fuel and Other Resources ; Conference date: 24-09-2018 Through 26-09-2018",
url = "https://lca2018.setac.org/",

}

Laurent, A, van der Meer, Y & D'Amours, S 2018, 'CarbonLab: a Decision Support Tool Based on Multicriteria Optimization Integrating Life-Cycle Assessment', SETAC Europe 24th LCA Symposium, Vienna, Austria, 24/09/18 - 26/09/18 pp. 4.

CarbonLab: a Decision Support Tool Based on Multicriteria Optimization Integrating Life-Cycle Assessment. / Laurent, Achille; van der Meer, Yvonne; D'Amours, S.

2018. 4 Abstract from SETAC Europe 24th LCA Symposium, Vienna, Austria.

Research output: Contribution to conferenceAbstractAcademic

TY - CONF

T1 - CarbonLab: a Decision Support Tool Based on Multicriteria Optimization Integrating Life-Cycle Assessment

AU - Laurent, Achille

AU - van der Meer, Yvonne

AU - D'Amours, S.

PY - 2018/9

Y1 - 2018/9

M3 - Abstract

SP - 4

ER -