Comparative analysis of MCDM methods for pipe material selection in sugar industry

The material plays an important role in an engineering design process. The suitable material selection for a particular product is one of the vital tasks for the designers. In order to fulfil the product's end requirements, designers need to analyze the performance of various materials and spot suitable materials with precise functionalities. Due to the presence of large number of materials with diverse properties, the material selection process is complicated and time consuming task. There is a necessity of systematic and efficient approach towards material selection to choose best alternative material for a product. The aim of this paper is to describe the application of four Multi Criteria Decision Making methods for solving pipes material selection problem in sugar industry. FAHP-TOPSIS, FAHP-VIKOR, FAHP-ELECTRE, FAHP-PROMTHEE are the four methods used to choose the best alternative among the various materials. The ranking performance of various MCDM methods is also compared with each other and exploring the effectiveness and flexibility of VIKOR method. Five stainless steel grades such as J4, JSLAUS, J204Cu, 409M, 304 and seven evaluation criteria such as yield strength, ultimate tensile strength, percentage of elongation, hardness, cost, corrosion rate and wear rate are focussed in this study to choose the suitable material.

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

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

[3]  Prasenjit Chatterjee,et al.  Selection of materials using multi-criteria decision-making methods with minimum data , 2013 .

[4]  Metin Celik,et al.  Multiple attribute decision-making solution to material selection problem based on modified fuzzy axiomatic design-model selection interface algorithm , 2010 .

[5]  Da Ruan,et al.  A fuzzy multi-criteria decision approach for software development strategy selection , 2004, Int. J. Gen. Syst..

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

[7]  Ihsan Hakan Selvi,et al.  An expert system based material selection approach to manufacturing , 2013 .

[8]  Pin-Yu Chu,et al.  A fuzzy AHP application in government-sponsored R&D project selection☆ , 2008 .

[9]  Chung-Hsing Yeh,et al.  Fuzzy multicriteria analysis for performance evaluation of bus companies , 2000, Eur. J. Oper. Res..

[10]  Heung Suk Hwang,et al.  A RESTAURANT PLANNING MODEL BASED ON FUZZY-AHP METHOD , 2005 .

[11]  Irfan Ertugrul,et al.  Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods , 2009, Expert Syst. Appl..

[12]  I-Shuo Chen,et al.  Innovation capital indicator assessment of Taiwanese Universities: A hybrid fuzzy model application , 2010, Expert Syst. Appl..

[13]  Jamal Shahrabi,et al.  PROJECT SELECTION BY USING FUZZY AHP AND TOPSIS TECHNIQUE , 2007 .

[14]  Tawakol A. Enab,et al.  Material selection in the design of the tibia tray component of cemented artificial knee using finite element method , 2013 .

[15]  Chai Jaturapitakkul,et al.  Strength and heat evolution of concretes containing bagasse ash from thermal power plants in sugar industry , 2013 .

[16]  Wu Jianhua,et al.  Hydrochemical Formation Mechanisms and Quality Assessment of Groundwater with Improved TOPSIS Method in Pengyang County Northwest China , 2011 .

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

[18]  Ming-Chyuan Lin,et al.  Using AHP and TOPSIS approaches in customer-driven product design process , 2008, Comput. Ind..

[19]  A. Shanian,et al.  A methodological concept for material selection of highly sensitive components based on multiple criteria decision analysis , 2009, Expert Syst. Appl..

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

[21]  S. M. Sapuan,et al.  A knowledge-based system for materials selection in mechanical engineering design , 2001 .

[22]  M D Hanamane,et al.  Embedded Fuzzy Module for Sugar Industrial Boiler Parameter Control , 2013 .

[23]  M. Ilangkumaran,et al.  Selection of maintenance policy for textile industry using hybrid multi‐criteria decision making approach , 2009 .

[24]  Gin-Shuh Liang,et al.  APPLYING FUZZY ANALYTIC HIERARCHY PROCESS IN LOCATION MODE OF INTERNATIONAL LOGISTICS ON AIRPORTS COMPETITION EVALUATION , 2006 .

[25]  Shankar Chakraborty,et al.  Facility Location Selection using PROMETHEE II Method , 2010 .

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

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

[28]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

[29]  P. H. Shipway,et al.  Microstructure and abrasive wear behaviour of shielded metal arc welding hardfacings used in the sugarcane industry , 2007 .

[30]  P. Vincke,et al.  Preference ranking organization method for enrichment evaluations , 1985 .

[31]  María D. Bovea,et al.  The influence of impact assessment methods on materials selection for eco-design , 2006 .

[32]  Fernando Casanova,et al.  A study on the wear of sugar cane rolls , 2008 .

[33]  G. Liang,et al.  Application of a fuzzy multi-criteria decision-making model for shipping company performance evaluation , 2001 .

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

[35]  Adel Azar,et al.  Prioritizing the strategies and methods of treated wastewater reusing by fuzzy analytic hierarchy process (FAHP): A case study , 2007 .

[36]  M. Ilangkumaran,et al.  Multi‐criteria decision‐making approach to evaluate optimum maintenance strategy in textile industry , 2008 .

[37]  R. K. Goyal,et al.  Role of stainless steel to combat corrosion in the indian sugar industry , 2007 .

[38]  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 .

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

[40]  Hossein Jalalifar,et al.  A prediction to the best artificial lift method selection on the basis of TOPSIS model , 2010 .

[41]  Hu-Chen Liu,et al.  Material selection using an interval 2-tuple linguistic VIKOR method considering subjective and objective weights , 2013 .

[42]  M. Ilangkumaran,et al.  Integrated hazard and operability study using fuzzy linguistics approach in petrochemical industry , 2010 .

[43]  S. M. Sapuan,et al.  Material selection based on ordinal data , 2010 .

[44]  Gwo-Hshiung Tzeng,et al.  Fuzzy MCDM approach for planning and design tenders selection in public office buildings , 2004 .

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

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

[47]  Gin-Shuh Liang,et al.  Using fuzzy MCDM to select partners of strategic alliances for liner shipping , 2005, Inf. Sci..

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

[49]  Prasenjit Chatterjee,et al.  Material selection using preferential ranking methods , 2012 .

[50]  Xiaowei Xu,et al.  Multi-criteria decision making approaches for supplier evaluation and selection: A literature review , 2010, Eur. J. Oper. Res..

[51]  R. C. Abeyaratne,et al.  A new application of ELECTRE III and revised Simos' procedure for group material selection under weighting uncertainty , 2008, Knowl. Based Syst..

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

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

[54]  S. M. Sapuan,et al.  Material screening and choosing methods: A review , 2010 .

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

[56]  T. Senthilvelan,et al.  Failure detection and optimization of sugar mill boiler using FMEA and Taguchi method , 2013 .

[57]  Somasundaram Kumanan,et al.  Application of Hybrid VIKOR Model in Selection of Maintenance Strategy , 2012 .

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

[59]  S. Chakraborty,et al.  Grinding Wheel Abrasive Material Selection Using Fuzzy TOPSIS Method , 2013 .

[60]  Jihong Pang,et al.  ELECTRE I Decision Model of Reliability Design Scheme for Computer Numerical Control Machine , 2011, J. Softw..

[61]  F. Findik,et al.  Materials selection for lighter wagon design with a weighted property index method , 2012 .

[62]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[63]  A. Abedian,et al.  Introducing a novel method for materials selection in mechanical design using Z-transformation in statistics for normalization of material properties , 2009 .

[64]  Ying-Ming Wang,et al.  Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment , 2006, Expert Syst. Appl..

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

[66]  Laura Florez,et al.  Optimization model for sustainable materials selection using objective and subjective factors , 2013 .

[67]  Mohammed Hajeeh,et al.  Water conservation in Kuwait: A fuzzy analysis approach , 2010 .

[68]  S. Sapuan,et al.  Hybrid natural and glass fibers reinforced polymer composites material selection using Analytical Hierarchy Process for automotive brake lever design , 2013 .

[69]  Nils Brunsson My own book review : The Irrational Organization , 2014 .

[70]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[71]  N. Ismail,et al.  Material selection of polymeric composite automotive bumper beam using analytical hierarchy process , 2010 .

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

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

[74]  E. Quiroz,et al.  Microstructural Characteristics and Corrosion Behaviour of High-Chromium Cast Iron Alloys in Sugar Media , 2003 .

[75]  Leigh Holloway,et al.  Materials selection for optimal environmental impact in mechanical design , 1998 .

[76]  B. K. Panigrahi,et al.  Corrosion Failure in the Sugar Industry: A Case Study , 2007 .

[77]  Yu-Hern Chang,et al.  PERFORMANCE EVALUATION OF INTERNATIONAL AIRPORTS IN THE REGION OF EAST ASIA , 2003 .

[78]  L. V. D. Wegen,et al.  Outranking methods in support of supplier selection , 1998 .

[79]  Napsiah Ismail,et al.  A prototype knowledge-based system for material selection of ceramic matrix composites of automotive engine components , 2002 .

[80]  S. Farid Mousavi,et al.  Group decision making process for supplier selection with VIKOR under fuzzy environment , 2010, Expert Syst. Appl..

[81]  Aysegul Tas,et al.  A Fuzzy AHP approach for selecting a global supplier in pharmaceutical industry , 2012 .

[82]  Mostafa Jafari,et al.  Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS , 2012, Expert Syst. Appl..

[83]  C. Kahraman,et al.  Fuzzy multi-attribute equipment selection based on information axiom , 2005 .

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

[85]  Subhash C. Mishra,et al.  CCorrosion behaviour of ferritic steel, austenitic steel and low carbon steel grades in sugarcane juice , 2012 .

[86]  Fernando Casanova,et al.  Abrasive wear effect of sugarcane juice on sugarcane rolls , 2010 .

[87]  Ana M. R. Senos,et al.  Digital tools for material selection in product design , 2010 .

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

[89]  Ching-Hsue Cheng,et al.  Fuzzy hierarchical TOPSIS for supplier selection , 2009, Appl. Soft Comput..

[90]  J. R. San Cristóbal,et al.  Multi-criteria decision-making in the selection of a renewable energy project in Spain: the VIKOR method. , 2011 .

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

[92]  Lennart Y. Ljungberg,et al.  Materials selection and design for development of sustainable products , 2007 .

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

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

[95]  Napsiah Ismail,et al.  COMPOSITE MANUFACTURING PROCESS SELECTION USING ANALYTICAL HIERARCHY PROCESS , 2009 .

[96]  Mehmet Sevkli,et al.  An application of the fuzzy ELECTRE method for supplier selection , 2010 .

[97]  Gin-Shuh Liang,et al.  Combining VIKOR with GRA techniques to evaluate service quality of airports under fuzzy environment , 2011, Expert Syst. Appl..