A methodological study for optimizing material selection in sustainable product design

Journal of Industrial Ecology

Volumn 18, Issue 4, 2014, Pages 508-516

  Tambouratzis, Tatiana ^a   Karalekas, Dimitris ^a   Moustakas, Nikolaos ^a  

^a UNIVERSITY OF PIRAEUS   (Greece)

Author keywords

Artificial neural networks; Environmental impact; Genetic algorithms; Industrial ecology; Material selection; Sustainable product design

Indexed keywords

ENVIRONMENTAL IMPACT; GENETIC ALGORITHMS; NEURAL NETWORKS; PRODUCT DESIGN; SENSITIVITY ANALYSIS; SUSTAINABLE DEVELOPMENT;

GENETIC ALGORITHM (GAS); INDUSTRIAL ECOLOGY; MATERIAL SELECTION; METHODOLOGICAL STUDIES; MULTI CRITERIA ANALYSIS; POLYNOMIAL REGRESSION; SUSTAINABLE MATERIALS; SUSTAINABLE PRODUCT DESIGNS;

MATERIALS PROPERTIES;

ARTIFICIAL NEURAL NETWORK; ENVIRONMENTAL IMPACT; GENETIC ALGORITHM; INDUSTRIAL ECOLOGY; INTERPOLATION; MATERIAL FLOW ANALYSIS; OPTIMIZATION; PREDICTION;

EID: 84905965113     PISSN: 10881980     EISSN: 15309290     Source Type: Journal    
DOI: 10.1111/jiec.12035     Document Type: Article

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