Weighting of dependent and target-based criteria for optimal decision-making in materials selection process: Biomedical applications

Abstract The selection of the most appropriate material, or combination of materials, is a demanding intellectual process that takes a lot of time and experience. There are a large number of established and newly developed materials, and their associated materials processes, necessitating the simultaneous consideration of many conflicting criteria. This has highlighted the importance of the developing field of multi-criteria decision-making (MCDM) to the material selection process which is especially useful for high technology market where product differentiation and competitive advantage are often achievable with just small gains in material performance. It is clear that decision-making techniques that address target criteria as well as cost and benefit criteria can help engineering designers make better informed choices of materials. Despite the progress has been made in the ranking of materials for target-based criteria, there is no formalized technique for calculating the weighting dependency when target criteria must be taken into account in material selection problems that usually deals with databases. Therefore, to overcome this shortcoming, the strategy of using dependent weightings is extended in this research. Also, an alternative method is proposed to incorporate the correlation, objective, and subjective weightings effectively when there is uncertainty in the importance of three types of weights. This issue is very important for inexperienced designers. The updated procedure is validated through biomedical applications. The first example demonstrates the importance of dependency weighting in amalgam tooth filling material selection and the second one is a hip joint prosthesis material selection problem, which includes target criteria. Furthermore, a model of continuous improvement in product development is outlined, and it is highlighted that the material selection/development is a permanent and endless task for sustainable and profitable growth.

[1]  Md. Yusof B. Ismail,et al.  A framework for weighting of criteria in ranking stage of material selection process , 2012 .

[2]  Milad Avazbeigi,et al.  A material selection methodology and expert system for sustainable product design , 2011 .

[3]  David Cebon,et al.  Selection strategies for materials and processes , 2002 .

[4]  Reza Baradaran Kazemzadeh,et al.  Integration of marketing research techniques into house of quality and product family design , 2009 .

[5]  K. L. Edwards Towards an improved development process for new hip prostheses , 2008 .

[6]  Haihong Huang,et al.  Multi-criteria decision making and uncertainty analysis for materials selection in environmentally conscious design , 2011 .

[7]  David Cebon,et al.  Materials: Engineering, Science, Processing and Design , 2007 .

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

[9]  Y.-M. Deng,et al.  The role of materials identification and selection in engineering design , 2007 .

[10]  Shankar Chakraborty,et al.  Decision making for material selection using the UTA method , 2011 .

[11]  Mahmoud M. Farag,et al.  Materials and Process Selection for Engineering Design , 2007 .

[12]  Mahmoud M. Farag,et al.  Materials and process selection in engineering , 1979 .

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

[14]  Y.-M. Deng,et al.  Supporting design decision-making when applying materials in combination , 2007 .

[15]  A. M. M. Sharif Ullah,et al.  An intelligent method for selecting optimal materials and its application , 2008, Adv. Eng. Informatics.

[16]  Ali Jahan,et al.  Material selection for femoral component of total knee replacement using comprehensive VIKOR , 2011 .

[17]  Yusof Ismail,et al.  An aggregation technique for optimal decision-making in materials selection , 2011 .

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

[19]  Mahmoud M. Farag,et al.  Materials selection for engineering design , 1997 .

[20]  Ali Jahan,et al.  A target-based normalization technique for materials selection , 2012 .

[21]  S. M. Sapuan,et al.  A comprehensive VIKOR method for material selection , 2011, Materials & Design.

[22]  Maria Luisa Garcia-Romeu,et al.  A model to build manufacturing process chains during embodiment design phases , 2012 .

[23]  K. L. Edwards,et al.  Linking materials and design: an assessment of purpose and progress , 2002 .

[24]  Mahmoud Abdelhamid,et al.  Using Quality Function Deployment and Analytical Hierarchy Process for material selection of Body-In-White , 2011 .

[25]  Mahmoud M. Farag,et al.  Quantitative Methods of Materials Selection , 2015 .

[26]  Jian-Bo Yang,et al.  Development of a fuzzy FMEA based product design system , 2008 .

[27]  A. Abedian,et al.  A novel method for materials selection in mechanical design: Combination of non-linear normalization and a modified digital logic method , 2007 .

[28]  Shankar Chakraborty,et al.  A digraph-based expert system for non-traditional machining processes selection , 2009 .

[29]  Abbas S. Milani,et al.  Multiple criteria decision making with life cycle assessment for material selection of composites , 2011 .