Ecodesign of Technological Processes with the Use of Decision Trees Method

It becomes increasingly complex to make decisions concerning environmental requirements at the product design stage. Any decision made at this stage may affect the environmental impact of the product. It is therefore necessary to provide new tools for product designers to help them in ecological design choices. This paper describes a new method for ecodesigning technological processes. The method was implemented in an expert system, and it supports process engineers in the development of eco-friendly technological processes. Decision tree induction method was used. The environmental approach to designing technological processes described in this paper is a new solution, and it automates the selection of materials and connections in the designed product.

[1]  Jahau Lewis Chen,et al.  Forecasting the design of eco-products by integrating TRIZ evolution patterns with CBR and Simple LCA methods , 2012, Expert Syst. Appl..

[2]  Peggy Zwolinski,et al.  Integrated design of product lifecycles—The fridge case study , 2008 .

[3]  Gülçin Büyüközkan,et al.  A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers , 2012, Expert Syst. Appl..

[4]  Marta Herva,et al.  Application of fuzzy logic for the integration of environmental criteria in ecodesign , 2012, Expert Syst. Appl..

[5]  Ajay Rana,et al.  Operation Sequencing in CAPP by usingArtificial Neural Network , 2013 .

[6]  Marek Macko,et al.  Approach to the Monitoring of Energy Consumption in Eco-grinder Based on ABC Optimization , 2015, BDAS.

[7]  Izabela Rojek,et al.  Hybrid Artificial Intelligence System in Constraint Based Scheduling of Integrated Manufacturing ERP Systems , 2012, HAIS.

[8]  Matthew A. Davies,et al.  Recent advances in modelling of metal machining processes , 2013 .

[9]  Amin Vafadarnikjoo,et al.  Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain , 2015, Expert Syst. Appl..

[10]  I. Rojek,et al.  Comparison of different types of neuronal nets for failures location within water-supply networks , 2014 .

[11]  Lior Rokach,et al.  Data Mining with Decision Trees - Theory and Applications , 2007, Series in Machine Perception and Artificial Intelligence.

[12]  Paweł Buń,et al.  Improving the Skills and Knowledge of Future Designers in the Field of Ecodesign Using Virtual Reality Technologies , 2015 .

[13]  Radosław Wichniarek,et al.  Functionality Assessment of Ecodesign Support System , 2015 .

[14]  Marek B. Zaremba,et al.  Intelligence in manufacturing systems: the pattern recognition perspective , 2010 .

[15]  Izabela Rojek Technological process planning by the use of neural networks , 2017, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[16]  Joaquim Ciurana,et al.  A model for integrating process planning and production planning and control in machining processes , 2008 .

[17]  Ru-Jen Lin Using fuzzy DEMATEL to evaluate the green supply chain management practices , 2013 .

[18]  Izabela Rojek,et al.  Models for Better Environmental Intelligent Management within Water Supply Systems , 2014, Water Resources Management.

[19]  Ferdinand Quella,et al.  Integrating environmental aspects into product design and development the new ISO TR 14062 , 2003 .

[20]  Anna Saniuk,et al.  Environmental favourable foundries through maintenance activities , 2015 .

[21]  Adam Hamrol,et al.  Application of agent technology for recycling-oriented product assessment , 2013, Ind. Manag. Data Syst..

[22]  Anna Burduk,et al.  The Role of Artificial Neural Network Models in Ensuring the Stability of Systems , 2015, SOCO.

[23]  Susana Garrido Azevedo,et al.  The influence of green practices on supply chain performance: A case study approach , 2011 .