New approach to select materials using MADM tools

Revolutionary attitude of researchers to invent and develop decision-making support tools has been increased for years. Effective methods and models are created to fulfil experts, engineers and managers skill for better and distinct solution. This paper proposes two new multi-attribute decisionmaking methods to indicate applicability and performance of them in area of design and material. Factor relationship (FARE) is introduced for first time in material evaluation field to elaborate weights of material criteria. This method resolves the problem of pairwise comparison judgement which naturally happens for decision makers and addresses more accurate rate of decision criteria. In order to assess materials and sort them according their performance and technical properties, weighted aggregated sum product assessment (WASPAS) method is acquired. The proposed approach is applied in hard magnetic material selection. In the final part of the paper, some tests (e.g., using normalisation tool and correlation coefficient) are handled to conform and validate obtained results.

[1]  Shankar Chakraborty,et al.  Application of WASPAS Method as an Optimization Tool in Non-traditional Machining Processes , 2015, Inf. Technol. Control..

[2]  A. Abedian,et al.  A simplified fuzzy logic approach for materials selection in mechanical engineering design , 2009 .

[3]  Ali Jahan,et al.  A state-of-the-art survey on the influence of normalization techniques in ranking: Improving the materials selection process in engineering design , 2015 .

[4]  Sarojini Kesava Jajimoggala,et al.  Decision making model for material selection using a hybrid MCDM technique , 2013, Int. J. Appl. Decis. Sci..

[5]  K. M. Rajan,et al.  An approach to selection of material and manufacturing processes for rocket motor cases using weighted performance index , 2002 .

[6]  Romualdas Ginevicius,et al.  A New Determining Method for the Criteria Weights in multicriteria Evaluation , 2011, Int. J. Inf. Technol. Decis. Mak..

[7]  S. Vinodh,et al.  Application of fuzzy VIKOR and environmental impact analysis for material selection of an automotive component , 2012 .

[8]  S. Chakraborty,et al.  Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection , 2012 .

[9]  S. Zolfani,et al.  Investment prioritizing in high tech industries based on SWARA-COPRAS approach , 2014 .

[10]  Rahul Vaish,et al.  Magnetic material selection using multiple attribute decision making approach , 2012 .

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

[12]  Jurgita Antucheviciene,et al.  A Hybrid Model Based on Fuzzy AHP and Fuzzy WASPAS for Construction Site Selection , 2015, Int. J. Comput. Commun. Control.

[13]  K. Maniya,et al.  A selection of material using a novel type decision-making method: Preference selection index method , 2010 .

[14]  M. Ilangkumaran,et al.  Material selection using hybrid MCDM approach for automobile bumper , 2013 .

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

[16]  Edmundas Kazimieras Zavadskas,et al.  Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating , 2013, Expert Syst. Appl..

[17]  E. Zavadskas,et al.  Optimization of Weighted Aggregated Sum Product Assessment , 2012 .

[18]  Ulrich Eggers,et al.  Materials And Design The Art And Science Of Material Selection In Product Design , 2016 .

[19]  Carlo Cavallini,et al.  Integral aided method for material selection based on quality function deployment and comprehensive VIKOR algorithm , 2013 .

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

[21]  Ali Shanian,et al.  TOPSIS multiple-criteria decision support analysis for material selection of metallic bipolar plates for polymer electrolyte fuel cell , 2006 .

[22]  K. L. Edwards,et al.  VIKOR method for material selection problems with interval numbers and target-based criteria , 2013 .

[23]  N. Gupta,et al.  Material selection for electrostatic microactuators using Ashby approach , 2011 .

[24]  Prasenjit Chatterjee,et al.  Materials selection using complex proportional assessment and evaluation of mixed data methods , 2011 .

[25]  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 .

[26]  Gwo-Hshiung Tzeng,et al.  Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS , 2004, Eur. J. Oper. Res..

[27]  N. Gupta.  Material selection for thin-film solar cells using multiple attribute decision making approach , 2011 .

[28]  Oleg Kapliński,et al.  Analysis of Normalization Methods Influencing Results: A Review to Honour Professor Friedel Peldschus on the Occasion of his 75th Birthday☆ , 2015 .

[29]  Thomas K. L. Tong,et al.  Multi-criteria material selections and end-of-life product strategy: Grey relational analysis approach , 2007 .

[30]  Adel Hatami-Marbini,et al.  A fuzzy expected value approach under generalized data envelopment analysis , 2015, Knowl. Based Syst..

[31]  Morteza Yazdani,et al.  A comparative study on material selection of microelectromechanical systems electrostatic actuators using Ashby, VIKOR and TOPSIS , 2015 .

[32]  Navneet Gupta,et al.  Material selection for microelectronic heat sinks: An application of the Ashby approach , 2010 .

[33]  Fikri Dweiri,et al.  Material selection using analytical hierarchy process , 2006, Int. J. Comput. Appl. Technol..

[34]  Shankar Chakraborty,et al.  Applications of WASPAS Method in Manufacturing Decision Making , 2014, Informatica.

[35]  L. Anojkumar,et al.  Comparative analysis of MCDM methods for pipe material selection in sugar industry , 2014, Expert Syst. Appl..

[36]  Shankar Chakraborty,et al.  A quality function deployment-based model for materials selection , 2013 .

[37]  Alireza Fallahpour,et al.  Evaluating applicability of VIKOR method of multi-criteria decision making for parameters selection problem in rotor spinning , 2012, Fibers and Polymers.

[38]  K. Ganesh,et al.  Development and assessment of modified VIKOR method for multi-criteria single sourcing in supply chain , 2010 .

[39]  Morteza Yazdani,et al.  A state-of the-art survey of TOPSIS applications , 2012, Expert Syst. Appl..

[40]  E. Stanley Lee,et al.  An extension of TOPSIS for group decision making , 2007, Math. Comput. Model..

[41]  A. Milani,et al.  The effect of normalization norms in multiple attribute decision making models: a case study in gear material selection , 2005 .

[42]  Prasenjit Chatterjee,et al.  Selection of materials using compromise ranking and outranking methods , 2009 .

[43]  Zenonas Turskis,et al.  Integrated Fuzzy Multiple Criteria Decision Making Model for Architect Selection , 2012 .

[44]  Morteza Yazdani,et al.  VIKOR and its Applications: A State-of-the-Art Survey , 2014, Int. J. Strateg. Decis. Sci..

[45]  Morteza Yazdani,et al.  New intuitionistic fuzzy approach with multi-objective optimisation on the basis of ratio analysis method , 2015 .