Multiple attribute decision-making solution to material selection problem based on modified fuzzy axiomatic design-model selection interface algorithm

Material selection, one of the mostly encountered decision problems in material science literature, is still an onerous task for manufacturing organisations. Achieving accurate solution to this issue, the paper developed a model selection interface to enable analytical solutions to different problem concepts in material selection under multiple attribute decision-making (MADM) environments. Specifically, the generic framework of the fuzzy axiomatic design-model selection interface (FAD-MSI) is modified and successfully applied to the different material selection problem concepts. Consequently, the derived problem-model sets can be referred to accomplish further proposals on this era.

[1]  Metin Celik,et al.  Fuzzy axiomatic design extension for managing model selection paradigm in decision science , 2009, Expert Syst. Appl..

[2]  C. Hwang.  Multiple Objective Decision Making - Methods and Applications: A State-of-the-Art Survey , 1979 .

[3]  Cengiz Kahraman,et al.  Fuzzy axiomatic design-based performance evaluation model for docking facilities in shipbuilding industry: The case of Turkish shipyards , 2009, Expert Syst. Appl..

[4]  C. Kahraman,et al.  Multi-attribute comparison of advanced manufacturing systems using fuzzy vs. crisp axiomatic design approach , 2005 .

[5]  Sushil Kumar,et al.  Analytic hierarchy process: An overview of applications , 2006, Eur. J. Oper. Res..

[6]  P. Vincke,et al.  Note-A Preference Ranking Organisation Method: The PROMETHEE Method for Multiple Criteria Decision-Making , 1985 .

[7]  Lisa Simpson,et al.  Do Decision Makers Know What They Prefer?: MAVT and ELECTRE II , 1996 .

[8]  B. Roy.  THE OUTRANKING APPROACH AND THE FOUNDATIONS OF ELECTRE METHODS , 1991 .

[9]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

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

[11]  C. Kahraman,et al.  Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic h , 2005 .

[12]  Selcuk Cebi,et al.  A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process , 2009 .

[13]  Cengiz Kahraman,et al.  Application of axiomatic design and TOPSIS methodologies under fuzzy environment for proposing competitive strategies on Turkish container ports in maritime transportation network , 2009, Expert Syst. Appl..

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

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

[16]  Nam P. Suh,et al.  principles in design , 1990 .

[17]  T. Liao,et al.  A fuzzy multicriteria decision-making method for material selection , 1996 .

[18]  W. Edwards.  How to Use Multi-Attribute Utility Measurement for Social Decision Making , 1976 .

[19]  Mao-Jiun J. Wang,et al.  Tool steel materials selection under fuzzy environment , 1995 .

[20]  R. Venkata Rao,et al.  A decision making methodology for material selection using an improved compromise ranking method , 2008 .

[21]  Cengiz Kahraman,et al.  A new multi-attribute decision making method: Hierarchical fuzzy axiomatic design , 2009, Expert Syst. Appl..

[22]  Ali Shanian,et al.  A non-compensatory compromised solution for material selection of bipolar plates for polymer electrolyte membrane fuel cell (PEMFC) using ELECTRE IV , 2006 .

[23]  Metin Celik.  A hybrid design methodology for structuring an Integrated Environmental Management System (IEMS) for shipping business. , 2009, Journal of environmental management.