Fuzzy Cognitive Map-based selection of TRIZ (Theory of Inventive Problem Solving) trends for eco-innovation of ceramic industry products

Abstract Several studies have been developed implementing TRIZ (Russian acronym of Theory of Inventive Problem Solving) for eco-innovative design tasks, establishing 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 predict 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 contrast, 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.

[1]  Jose L. Salmeron,et al.  Benchmarking main activation functions in fuzzy cognitive maps , 2009, Expert Syst. Appl..

[2]  Kun Chang Lee,et al.  Fuzzy implications of fuzzy cognitive map with emphasis on fuzzy causal relationship and fuzzy partially causal relationship , 1998, Fuzzy Sets Syst..

[3]  Stefano Filippi,et al.  Definition and exploitation of trends of evolution about interaction , 2014 .

[4]  Chih-Chen Liu,et al.  An eco-innovative design approach incorporating the TRIZ method without contradiction analysis , 2001 .

[5]  Kyoung-Yun Kim,et al.  Systematic causal knowledge acquisition using FCM Constructor for product design decision support , 2011, Expert Syst. Appl..

[6]  Jose L. Salmeron,et al.  A Fuzzy Grey Cognitive Maps-based Decision Support System for radiotherapy treatment planning , 2012, Knowl. Based Syst..

[7]  Han Brezet,et al.  Ecodesign : a promising approach to sustainable production and consumption , 1997 .

[8]  Michalis Glykas,et al.  Fuzzy cognitive maps in business analysis and performance-driven change , 2004, IEEE Transactions on Engineering Management.

[9]  Iouri Belski Improve Your Thinking : Substance-Field Analysis , 2008 .

[10]  Elpiniki I. Papageorgiou,et al.  Multi-step prediction of pulmonary infection with the use of evolutionary fuzzy cognitive maps , 2012, Neurocomputing.

[11]  E Jones,et al.  Investigating the use of TRIZ in eco-innovation , 2000 .

[12]  Jose L. Salmeron,et al.  Modeling maintenance projects risk effects on ERP performance , 2014, Comput. Stand. Interfaces.

[13]  Darrell L. Mann,et al.  Better technology forecasting using systematic innovation methods , 2003 .

[14]  N. Dalkey,et al.  An Experimental Application of the Delphi Method to the Use of Experts , 1963 .

[15]  Jahau Lewis Chen,et al.  The conflict-problem-solving CAD software integrating TRIZ into eco-innovation , 2004 .

[16]  Denis Cavallucci,et al.  An ontological basis for computer aided innovation , 2009, Comput. Ind..

[17]  Daniele Regazzoni,et al.  Eco-design with TRIZ laws of evolution , 2011 .

[18]  Thomas L. Saaty,et al.  The Analytic Hierarchy and Analytic Network Processes for the Measurement of Intangible Criteria and for Decision-Making , 2016 .

[19]  Jose L. Salmeron,et al.  Evolutionary learning of fuzzy grey cognitive maps for the forecasting of multivariate, interval-valued time series , 2014, Int. J. Approx. Reason..

[20]  Jose L. Salmeron,et al.  Modelling grey uncertainty with Fuzzy Grey Cognitive Maps , 2010, Expert Syst. Appl..

[21]  Denis Cavallucci,et al.  Evolution hypothesis as a means for linking system parameters and laws of engineering system evolution , 2011 .

[22]  Jose L. Salmeron Fuzzy cognitive maps for artificial emotions forecasting , 2012, Appl. Soft Comput..

[23]  Jose L. Salmeron,et al.  Ranking fuzzy cognitive map based scenarios with TOPSIS , 2012, Expert Syst. Appl..

[24]  Chrysostomos D. Stylios,et al.  Unsupervised learning techniques for fine-tuning fuzzy cognitive map causal links , 2006, Int. J. Hum. Comput. Stud..

[25]  Bart Kosko,et al.  Fuzzy Engineering , 1996 .

[26]  T. L. Saaty A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[27]  Jose L. Salmeron,et al.  Fuzzy modeling Enterprise Resource Planning tool selection , 2008, Comput. Stand. Interfaces.

[28]  Jose L. Salmeron,et al.  Forecasting Risk Impact on ERP Maintenance with Augmented Fuzzy Cognitive Maps , 2012, IEEE Transactions on Software Engineering.

[29]  Elpiniki I. Papageorgiou,et al.  Application of Evolutionary Fuzzy Cognitive Maps for Prediction of Pulmonary Infections , 2012, IEEE Transactions on Information Technology in Biomedicine.

[30]  Jose L. Salmeron,et al.  A Review of Fuzzy Cognitive Maps Research During the Last Decade , 2013, IEEE Transactions on Fuzzy Systems.

[31]  Jos De Roo,et al.  Application of probabilistic and fuzzy cognitive approaches in semantic web framework for medical decision support , 2013, Comput. Methods Programs Biomed..

[32]  Elpiniki I. Papageorgiou,et al.  A weight adaptation method for fuzzy cognitive map learning , 2005, Soft Comput..

[33]  Stefan Seuring,et al.  Determinants of a sustainable new product development , 2014 .

[34]  Kun Chang Lee,et al.  Fuzzy cognitive map approach to web-mining inference amplification , 2002, Expert Syst. Appl..

[35]  Kwangsoo Kim,et al.  TrendPerceptor: A property-function based technology intelligence system for identifying technology trends from patents , 2012, Expert Syst. Appl..

[36]  Bart Kosko,et al.  Fuzzy Cognitive Maps , 1986, Int. J. Man Mach. Stud..

[37]  Ellen Domb,et al.  Simplified TRIZ: New Problem-Solving Applications for Engineers and Manufacturing Professionals , 2002 .

[38]  Peter James,et al.  Driving Eco-Innovation: A Breakthrough Discipline for Innovation and Sustainability , 1996 .

[39]  R. Axelrod Structure of decision : the cognitive maps of political elites , 2015 .

[40]  Maurizio Bevilacqua,et al.  Development of a sustainable product lifecycle in manufacturing firms: a case study , 2007 .

[41]  Jahau Lewis Chen,et al.  Accelerating preliminary eco-innovation design for products that integrates case-based reasoning and TRIZ method , 2011 .

[42]  Jack Hipple,et al.  The Integration of TRIZ with Other Ideation Tools and Processes as Well as with Psychological Assessment Tools , 2005 .

[43]  Jose L. Salmeron,et al.  Learning Fuzzy Grey Cognitive Maps using Nonlinear Hebbian-based approach , 2012, Int. J. Approx. Reason..

[44]  Jose L. Salmeron,et al.  Augmented fuzzy cognitive maps for modelling LMS critical success factors , 2009, Knowl. Based Syst..

[45]  John A. Keane,et al.  PriEsT: an interactive decision support tool to estimate priorities from pairwise comparison judgments , 2015, Int. Trans. Oper. Res..

[46]  María del Val Segarra Oña,et al.  DETERMINANTES DE LA ORIENTACIÓN ECO-INNOVADORA EN LA INDUSTRIA CERÁMICA ESPAÑOLA , 2014 .

[47]  Paolo Masoni,et al.  Application of Product Data Technology Standards to LCA Data , 2011 .

[48]  Joost Duflou,et al.  Relating properties and functions from patents to TRIZ trends , 2008 .

[49]  G. S. Alʹtshuller,et al.  40 Principles: TRIZ Keys to Technical Innovation , 1998 .

[50]  Rossitza Setchi,et al.  Modelling IT projects success with Fuzzy Cognitive Maps , 2007, Expert Syst. Appl..

[51]  Vicente Chulvi,et al.  Usefulness of evolution lines in eco-design , 2011 .

[52]  Antonie J. Jetter,et al.  Building scenarios with Fuzzy Cognitive Maps: An exploratory study of solar energy , 2011 .

[53]  Jose L. Salmeron,et al.  Fuzzy Grey Cognitive Maps in reliability engineering , 2012, Appl. Soft Comput..

[54]  Gaetano Cascini,et al.  Supporting sustainable innovation through TRIZ system thinking , 2011 .

[55]  Elpiniki I. Papageorgiou,et al.  A new hybrid method using evolutionary algorithms to train Fuzzy Cognitive Maps , 2005, Appl. Soft Comput..

[56]  Wolfgang Wimmer,et al.  ECO-INNOVATION, COMBINING ECODESIGN AND TRIZ FOR ENVIRONMENTALLY SOUND PRODUCT DEVELOPMENT , 2003 .

[57]  Darrell Mann New and Emerging Contradiction Elimination Tools , 2005 .

[58]  Jose L. Salmeron,et al.  Dynamic risks modelling in ERP maintenance projects with FCM , 2014, Inf. Sci..

[59]  Elpiniki I. Papageorgiou,et al.  Fuzzy Cognitive Maps for Applied Sciences and Engineering - From Fundamentals to Extensions and Learning Algorithms , 2013, Fuzzy Cognitive Maps for Applied Sciences and Engineering.