Materials selection for cleaner production: An environmental evaluation approach

Abstract This paper demonstrates an integrated approach to the selection of materials for cleaner production, using binary dominance matrix and grey relational analysis to aid decision-making by engineers. The starting point of this study is to determine the environmental evaluation criteria and to assign weights reflecting their relative importance. In order to assist engineers in the application of the grey evaluation process, and to simplify the computational complexity, a calculating tool based on spreadsheet application has been developed. A case example is provided, in which five poly(vinyl chloride) (PVC) materials are subjected to environmental evaluation to determine their sustainability for handbag manufacture. The result of the grey relational analysis and the limitations of the approach are discussed, laying a foundation for further work.

[1]  Leigh Holloway,et al.  Materials selection for optimal environmental impact in mechanical design , 1998 .

[2]  Rosario Vidal,et al.  Materials selection for sustainable product design: a case study of wood based furniture eco-design , 2004 .

[3]  Frank Kreith,et al.  Handbook of Solid Waste Management , 2002 .

[4]  E. El-Magd,et al.  An integrated approach to product design, materials selection and cost estimation , 1992 .

[5]  K. L. Edwards,et al.  Design, materials selection and marketing of successful products , 2003 .

[6]  K. L. Edwards.  Towards more effective decision support in materials and design engineering , 1994 .

[7]  R. V. Rao,et al.  A subjective and objective integrated multiple attribute decision making method for material selection , 2010 .

[8]  João Paulo Davim,et al.  A decision-making framework model for material selection using a combined multiple attribute decision-making method , 2008 .

[9]  Lennart Y. Ljungberg,et al.  Materials selection and design for development of sustainable products , 2007 .

[10]  Yi Lin,et al.  Grey Systems: Theory and Applications , 2010 .

[11]  Yi Lin,et al.  Grey Information - Theory and Practical Applications , 2005, Advanced Information and Knowledge Processing.

[12]  Kenneth S. Hurst,et al.  Engineering Design Principles , 1999 .

[13]  Steven R Schmid Kalpakjian,et al.  Manufacturing Engineering and Technology , 1991 .

[14]  David Cebon,et al.  Materials Selection in Mechanical Design , 1992 .

[15]  Joseph R. Fiksel.  Design for environment : a guide to sustainable product development , 2009 .

[16]  Li Pheng Khoo,et al.  Design concept evaluation in product development using rough sets and grey relation analysis , 2009, Expert Syst. Appl..

[17]  Giannis T. Tsoulfas,et al.  A model for supply chains environmental performance analysis and decision making , 2008 .

[18]  Tsai C. Kuo,et al.  Environmentally conscious design and manufacturing: A state-of-the-art survey , 1997 .

[19]  Ali Shanian,et al.  A material selection model based on the concept of multiple attribute decision making , 2006 .

[20]  Paul T. Williams.  Waste Treatment and Disposal , 1998 .

[21]  Antonino Risitano,et al.  Materials selection in the Life-Cycle Design process: a method to integrate mechanical and environmental performances in optimal choice , 2005 .

[22]  Xiao-Bing Hu,et al.  Multi-objective optimization of material selection for sustainable products: Artificial neural networks and genetic algorithm approach , 2009 .

[23]  M. B. G. Castro,et al.  Materials selection for an automotive structure by integrating structural optimization with environmental impact assessment , 2004 .