Fuzzy Cognitive Map-based selection of TRIZ (Theory of Inventive Problem Solving) trends for eco-innovation of ceramic industry products
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Fuzzy Cognitive Map-based selection of TRIZ (Theory of Inventive Problem Solving) trends for eco-innovation of ceramic industry productsData de publicació
2015-05xmlui.dri2xhtml.METS-1.0.item-edition
Pre-print, versió de l'autorEditor
Copyright © 2016 ElsevierCita bibliogràfica
VIDAL, Rosario, et al. Fuzzy Cognitive Map-based selection of TRIZ (Theory of Inventive Problem Solving) trends for eco-innovation of ceramic industry products. Journal of Cleaner Production, 2015, 107: 202-214.Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
http://www.sciencedirect.com/science/article/pii/S0959652615005247Paraules clau / Matèries
Resum
Several studies have been developed implementing TRIZ (Russian acronym of Theory of Inventive Problem Solving) for eco-innovative design tasks, es- tablishing a link between eco-efficiency and the Inventive Principles ... [+]
Several studies have been developed implementing TRIZ (Russian acronym of Theory of Inventive Problem Solving) for eco-innovative design tasks, es- tablishing a link between eco-efficiency and the Inventive Principles and the Contradiction Matrix. However, very few works have linked TRIZ evolution trends and eco-design.
This paper presents an innovative methodology to help designers to pre- dict technological evolutions for more environmentally friendly products. The main novelty of our proposal is the use of Fuzzy Cognitive Maps (FCMs) to analyse, identify and quantify the relationship between the strategies of the Eco-Design Strategy Wheel and the TRIZ evolution trends. This methodology has been applied to the Spanish ceramic industry using data from a survey to their business leaders.
Results show evolution trends of ceramic products focused on Material, Design Process and Geometry are more environmentally friendly. In con- trast, evolution trends included in the category Aesthetics are harmful for the environment. The methodology proposed can be applied for greener product design and technological forecasting in other industries. [-]
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Journal of Cleaner Production, Volume 107, 16 November 2015, Pages 202–214Drets d'accés
Copyright © 2015 Elsevier B.V. or its licensors or contributors.
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info:eu-repo/semantics/openAccess
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info:eu-repo/semantics/openAccess
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