Advanced manufacturing systems selection using ORESTE method

Selection of advanced manufacturing systems (AMSs) is a multi-criteria decision-making (MCDM) problem, based on assessing a large number of conflicting quantitative and qualitative criteria. Decision making for AMS selection has become more complicated due to availability of a wide range of feasible alternatives. In this paper, an almost unexplored MCDM method, Organization, Rangement Et Synthese De Donnes Relationnelles (ORESTE) is applied to solve five AMS selection problems, e.g., a) an industrial robot; b) a flexible manufacturing system; c) a rapid prototyping process; d) the most suitable machine for a flexible manufacturing cell; e) a non-traditional machining process. This method does not require any precise information about criteria weights or formulation of any type of preference function. In all these cases, the rankings of the alternatives obtained using ORESTE method almost corroborate with those derived by the past researchers, proving the expediency of this method as an effective MCDM technique.

[1]  Zeki Ayağ,et al.  Evaluating machine tool alternatives through modified TOPSIS and alpha-cut based fuzzy ANP , 2012 .

[2]  Hing Kai Chan,et al.  An integrated fuzzy approach for the selection of manufacturing technologies , 2006 .

[3]  S. E. Gouvea da Costa,et al.  Advanced manufacturing technology adoption: an integrated approach , 2008 .

[4]  Jacques Teghem,et al.  An interactive decision support system (IDSS) for multicriteria decision aid , 1989 .

[5]  Antonio Armillotta,et al.  Selection of layered manufacturing techniques by an adaptive AHP decision model , 2008 .

[6]  Azhar Ahmad,et al.  Relationships between Investments in Advanced Manufacturing Technology (AMT) and performances: Some empirical evidences , 2008 .

[7]  M. G. Bhatt,et al.  The selection of flexible manufacturing system using preference selection index method , 2011 .

[8]  Kaveh Khalili Damghani,et al.  Measuring efficiency of just in time implementation using a fuzzy data envelopment analysis approach: real case of Iranian dairy industries , 2011, Int. J. Adv. Oper. Manag..

[9]  A. M. A. Al-Ahmari,et al.  A methodology for selection and evaluation of advanced manufacturing technologies , 2008, Int. J. Comput. Integr. Manuf..

[10]  R. Venkata Rao,et al.  Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods , 2013 .

[11]  H. Pastijn,et al.  Constructing an outranking relation with ORESTE , 1989 .

[12]  Dimitris E. Koulouriotis,et al.  A fuzzy digraph method for robot evaluation and selection , 2011, Expert Syst. Appl..

[13]  Shankar Chakraborty,et al.  Applications of the MOORA method for decision making in manufacturing environment , 2011 .

[14]  R. Venkata Rao,et al.  Flexible manufacturing system selection using a combinatorial mathematics-based decision-making method , 2009 .

[15]  Reza Farzipoor Saen.  A decision model for technology selection in the existence of both cardinal and ordinal data , 2006, Appl. Math. Comput..

[16]  Gholam R. Amin.  Optimal solution of technology selection model: a computational efficient form , 2009 .

[17]  Aliasghar Rezazadeh,et al.  Fuzzy Multi Criteria Decision Making Approach for Performance Measurement of Advanced Manufacturing Systems , 2011 .

[18]  Saurav Datta,et al.  Flexible Manufacturing System selection based on grey relation under uncertainty , 2011 .

[19]  Reza Farzipoor Saen.  Technology selection in the presence of dual-role factors , 2010, Int. J. Adv. Oper. Manag..

[20]  Zahari Taha,et al.  Analytical hierarchy process for the selection of advanced manufacturing technology in an aircraft industry , 2011, Int. J. Appl. Decis. Sci..

[21]  Yusuf Tansel İç,et al.  An experimental design approach using TOPSIS method for the selection of computer-integrated manufacturing technologies , 2012 .

[22]  Tai-Yue Wang,et al.  Machine selection in flexible manufacturing cell: A fuzzy multiple attribute decision-making approach , 2000 .

[23]  L. Anojkumar,et al.  Machine tool selection using AHP and VIKOR methodologies under fuzzy environment , 2012 .

[24]  Harwinder Singh,et al.  Evolving the barriers for enhancing the utilisation level of advanced manufacturing technologies (AMTs) in Indian manufacturing industry , 2009, Int. J. Adv. Oper. Manag..

[25]  Victor B. Kreng,et al.  Strategic justification of advanced manufacturing technology using an extended AHP model , 2011 .

[26]  E. Ertugrul Karsak,et al.  Using data envelopment analysis for evaluating flexible manufacturing systems in the presence of imprecise data , 2008 .

[27]  R. Venkata Rao,et al.  Industrial robot selection using a novel decision making method considering objective and subjective preferences , 2011, Robotics Auton. Syst..

[28]  Yusuf Tansel İç,et al.  Development of a decision support system for robot selection , 2013 .

[29]  R. Venkata Rao,et al.  Decision making in the manufacturing environment using an improved PROMETHEE method , 2010 .

[30]  M. Roubens.  Preference relations on actions and criteria in multicriteria decision making , 1982 .

[31]  O. A. Joseph,et al.  Ranking of scheduling rule combinations in a flexible manufacturing system using preference selection index method , 2011, Int. J. Adv. Oper. Manag..

[32]  Ronald G. Askin,et al.  A multiple-objective decision model for the evaluation of advanced manufacturing system technologies , 1992 .

[33]  H. S. Byun,et al.  A decision support system for the selection of a rapid prototyping process using the modified TOPSIS method , 2005 .

[34]  Peter O'Grady,et al.  A concise review of flexible manufacturing systems and FMS literature , 1986 .

[35]  Mustafa Yurdakul,et al.  Selection of computer-integrated manufacturing technologies using a combined analytic hierarchy process and goal programming model , 2004 .

[36]  Kwai-Sang Chin,et al.  A new approach for the selection of advanced manufacturing technologies: DEA with double frontiers , 2009 .

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

[38]  Prasenjit Chatterjee,et al.  Selection of industrial robots using compromise ranking and outranking methods , 2010 .

[39]  Shian-Jong Chuu,et al.  Selecting the advanced manufacturing technology using fuzzy multiple attributes group decision making with multiple fuzzy information , 2009, Comput. Ind. Eng..

[40]  Mustafa Yurdakul,et al.  Development of a multi-attribute selection procedure for non-traditional machining processes , 2003 .

[41]  E. Karsak,et al.  Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments , 2001 .

[42]  Srinivas Talluri,et al.  A cone-ratio DEA approach for AMT justification , 2000 .