A Multi-Criteria Decision Making Approach for Machine Tool Selection Problem in a Fuzzy Environment

Tools and machines have an important effect on the manufacturing operations’ effectiveness and the selection process of appropriate tools and machines is a complex issue with the consideration of multiple criteria. Considering the complexity of the problem area and the difficulties in machine tools evaluation processes, the main purpose of this study is to present a novel and effective methodology for machine tool selection problem. The proposed methodology constituted for this aim combines the modified DELPHI method, AHP (Analytical Hierarchy Process) and PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations) approaches with fuzzy sets theory to be able to reflect the vagueness related to judgment of the decision-maker(s). A real life application is realized for pressing machine selection problem of a fixing products manufacturer from Turkey, Istanbul. The results of the proposed approach are compared with the results of fuzzy AHP-fuzzy TOPSIS approach. Additionally, sensitivity analyses are realized to show the changes in the results with the change in the criteria weights.

[1]  M. Goumas,et al.  An extension of the PROMETHEE method for decision making in fuzzy environment: Ranking of alternative energy exploitation projects , 2000, Eur. J. Oper. Res..

[2]  Rosnah Mohd Yusuff,et al.  A preliminary study on the potential use of the analytical hierarchical process (AHP) to predict advanced manufacturing technology (AMT) implementation , 2001 .

[3]  Mustafa Yurdakul,et al.  AHP as a strategic decision-making tool to justify machine tool selection , 2004 .

[4]  Da Ruan,et al.  Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach , 2004 .

[5]  R. Yager.  On a general class of fuzzy connectives , 1980 .

[6]  Rifat Gürcan Özdemir,et al.  An intelligent approach to machine tool selection through fuzzy analytic network process , 2011, J. Intell. Manuf..

[7]  Wen-Chieh Chou,et al.  Application of fuzzy theory and PROMETHEE technique to evaluate suitable ecotechnology method: A case study in Shihmen Reservoir Watershed, Taiwan , 2007 .

[8]  Henry C. W. Lau,et al.  Integration of expert system with analytic hierarchy process for the design of material handling equipment selection system , 2001 .

[9]  Chin-Tsai Lin,et al.  Integrated environmental assessment of the location selection with fuzzy analytical network process , 2009 .

[10]  Johan Springael,et al.  PROMETHEE and AHP: The design of operational synergies in multicriteria analysis.: Strengthening PROMETHEE with ideas of AHP , 2004, Eur. J. Oper. Res..

[11]  Yu Jing,et al.  A discussion on Extent Analysis Method and applications of fuzzy AHP , 1999, Eur. J. Oper. Res..

[12]  Arlene Hartman.  Reaching Consensus Using the Delphi Technique. , 1981 .

[13]  M. R. Abdi,et al.  Fuzzy multi-criteria decision model for evaluating reconfigurable machines , 2009 .

[14]  G. Tuzkaya,et al.  Environmental performance evaluation of suppliers: A hybrid fuzzy multi-criteria decision approach , 2009 .

[15]  Chen-Tung Chen,et al.  A fuzzy approach to select the location of the distribution center , 2001, Fuzzy Sets Syst..

[16]  Athakorn Kengpol,et al.  The development of a decision support tool for the selection of advanced technology to achieve rapid product development , 2001 .

[17]  Rifat Gürcan Özdemir,et al.  A Fuzzy AHP Approach to Evaluating Machine Tool Alternatives , 2006, J. Intell. Manuf..

[18]  Y. Ilker Topcu,et al.  An integrated decision aid system for Bosphorus water-crossing problem , 2001, Eur. J. Oper. Res..

[19]  J. Murry,et al.  Delphi: A Versatile Methodology for Conducting Qualitative Research , 2017 .

[20]  Alev Taskin Gumus,et al.  Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology , 2009, Expert Syst. Appl..

[21]  Tien-Chin Wang,et al.  Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment , 2007, Expert Syst. Appl..

[22]  Gülçin Büyüközkan,et al.  A fuzzy optimization model for QFD planning process using analytic network approach , 2006, Eur. J. Oper. Res..

[23]  WangTien-Chin,et al.  Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment , 2007 .

[24]  Jean Pierre Brans,et al.  HOW TO SELECT AND HOW TO RANK PROJECTS: THE PROMETHEE METHOD , 1986 .

[25]  Akbar Esfahanipour,et al.  Decision making in stock trading: An application of PROMETHEE , 2007, Eur. J. Oper. Res..

[26]  Bülent Çatay,et al.  Development of a machine tool selection system using AHP , 2007 .

[27]  Cheng-Ru Wu,et al.  Using expert technology to select unstable slicing machine to control wafer slicing quality via fuzzy AHP , 2008, Expert Syst. Appl..

[28]  Ronald R. Yager,et al.  A procedure for ordering fuzzy subsets of the unit interval , 1981, Inf. Sci..

[29]  Gülfem Tuzkaya,et al.  Evaluating centralized return centers in a reverse logistics network: An integrated fuzzy multi-criteria decision approach , 2008 .

[30]  Cengiz Kahraman,et al.  An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem and an application , 2010, Expert Syst. Appl..

[31]  Jean Pierre Brans,et al.  A PREFERENCE RANKING ORGANIZATION METHOD , 1985 .

[32]  Selin Soner Kara,et al.  A hybrid fuzzy MCDM approach to machine tool selection , 2008, J. Intell. Manuf..

[33]  Metin Dagdeviren,et al.  Decision making in equipment selection: an integrated approach with AHP and PROMETHEE , 2008, J. Intell. Manuf..

[34]  K. Hafeez,et al.  Determining key capabilities of a firm using analytic hierarchy process , 2002 .

[35]  Da Ruan,et al.  A fuzzy preference‐ranking model for a quality evaluation of hospital web sites , 2006, Int. J. Intell. Syst..

[36]  Thomas Spengler,et al.  Fuzzy outranking for environmental assessment. Case study: iron and steel making industry , 2000, Fuzzy Sets Syst..

[37]  Rodney L. Custer,et al.  The Modified Delphi Technique - A Rotational Modification , 1999 .

[38]  Umut Rifat Tuzkaya,et al.  Evaluating the environmental effects of transportation modes using an integrated methodology and an application , 2009 .

[39]  Michio Sugeno,et al.  An introductory survey of fuzzy control , 1985, Inf. Sci..

[40]  Umut Rifat Tuzkaya,et al.  A fuzzy analytic network process based approach to transportation-mode selection between Turkey and Germany: A case study , 2008, Inf. Sci..

[41]  Chin-Tsai Lin,et al.  An application of AHP and sensitivity analysis for selecting the best slicing machine , 2007, Comput. Ind. Eng..

[42]  Orlando Durán,et al.  Computer-aided machine-tool selection based on a Fuzzy-AHP approach , 2008, Expert Syst. Appl..

[43]  Da Ruan,et al.  Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach , 2004, Int. J. Intell. Syst..