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Soft Computing

, Volume 23, Issue 15, pp 6715–6725 | Cite as

Development of an ITARA-based hybrid multi-criteria decision-making model for material selection

  • M. Alper SofuoğluEmail author
Methodologies and Application
  • 95 Downloads

Abstract

The optimum selection of material in manufacturing environment should be investigated using a strategic perspective because of its complex nature. The ideal alternative cannot be found easily due to the different criteria, so the decision maker has to consider several factors for selecting the appropriate material. As a result, the decision maker should design a proper form of decision support system to solve the given problem. From decision-maker perspective, it is not easy to determine criteria weights of materials selection problem. Especially, several criteria cause inadequate subjective evaluation. In order to prevent this, different novel hybrid models were developed by using indifference threshold-based attribute ratio analysis (ITARA), VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) technique for order of preference by similarity to ideal solution (TOPSIS) and multi-objective optimization on the basis of ratio (MOORA) methods. Two case studies (material selection of flywheel and cryogenic storage tank) were taken from the literature to test these models. ITARA is used to calculate the criteria weights in the problems, and the final rankings are obtained by using VIKOR, TOPSIS and MOORA. The results indicate that the proposed methods produced successful results in terms of material selection perspective.

Keywords

Multi-criteria decision making Material selection ITARA TOPSIS 

Abbreviations

AHP

Analytic hierarchy process

ANP

Analytic network process

ARAS

Additive ratio assessment

COPRAS

Complex proportional assessment

DEMATEL

Decision-making trial and evaluation laboratory

ELECTRE

Elimination and choice translating reality

EXPROM2

Extended PROMETHEE II

EVAMIX

Evaluation of mixed data

GRA

Grey relational analysis

GTMA

Graph theory and matrix approach

ITARA

Indifference threshold-based attribute ratio analysis

MCDM

Multi-criteria decision making

MOORA

Multi-objective optimization on the basis of ratio analysis

OCRA

Occupational repetitive actions

TODIM

An acronym in Portuguese of interactive and multi-criteria decision making

TOPSIS

Technique for order of preference by similarity to ideal solution

VIKOR

VlseKriterijumska Optimizacija I Kompromisno Resenje (Serbian term)

WPM

Weighted product method

Notes

Compliance with ethical standards

Conflict of interest

The author declares that he has no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

References

  1. Brauers WKM, Zavadskas EK (2012) Robustness of MULTIMOORA: a method for multi-objective optimization. Informatica 23(1):1–25MathSciNetzbMATHGoogle Scholar
  2. Çalışkan H, Kurşuncu B, Kurbanoğlu C, Güven ŞY (2013) Material selection for the tool holder working under hard milling conditions using different multi criteria decision making methods. Mater Des 45:473–479CrossRefGoogle Scholar
  3. Chatterjee P, Chakraborty S (2012) Material selection using preferential ranking methods. Mater Des 35:384–393CrossRefGoogle Scholar
  4. Chatterjee P, Athawale VM, Chakraborty S (2009) Selection of materials using compromise ranking and outranking methods. Mater Des 30:4043–4053CrossRefGoogle Scholar
  5. Chatterjee P, Athawale VM, Chakraborty S (2011) Materials selection using complex proportional assessment and evaluation of mixed data methods. Mater Des 32:851–860CrossRefGoogle Scholar
  6. Chauhan A, Vaish R (2013) Hard coating material selection using multi-criteria decision making. Mater Des 44:240–245CrossRefGoogle Scholar
  7. Darji VP, Rao RV (2014) Intelligent multi criteria decision making methods for material selection in sugar industry. Procedia Mater Sci 5:2585–2594CrossRefGoogle Scholar
  8. Fayazbakhsh K, Abedian A, Manshadi BD, Khabbaz RS (2009) Introducing a novel method for materials selection in mechanical design using Z-transformation in statistics for normalization of material properties. Mater Des 30:4396–4404CrossRefGoogle Scholar
  9. Hafezalkotob A, Hafezalkotob A (2016) Extended MULTIMOORA method based on Shannon entropy weight for materials selection. J Ind Eng Int 12:1–13zbMATHCrossRefGoogle Scholar
  10. Hatami-Marbini A, Tavana M, Moradi M, Kangi F (2013) A fuzzy group electre method for safety and health assessment in hazardous waste recycling facilities. Saf Sci 51:414–426CrossRefGoogle Scholar
  11. Hatefi MA (2019) Indifference threshold-based attribute ratio analysis: a method for assigning the weights to the attributes in multiple attribute decision making. Appl Soft Comput 74:643–651CrossRefGoogle Scholar
  12. İpek M, Selvi İH, Findik F, Torkul O, Cedimoğlu IH (2013) An expert system based material selection approach to manufacturing. Mater Des 47:331–340CrossRefGoogle Scholar
  13. Jahan A, Edwards KL (2013a) Weighting of dependent and target-based criteria for optimal decision-making in materials selection process: biomedical applications. Mater Des 49:1000–1008CrossRefGoogle Scholar
  14. Jahan A, Edwards KL (2013b) Multi-criteria decision analysis for supporting the selection of engineering materials in product design. Butterworth-Heinemann, OxfordGoogle Scholar
  15. Jahan A, Ismail MY, Sapuan SM, Mustapha F (2010) Material screening and choosing methods—a review. Mater Des 31:696–705CrossRefGoogle Scholar
  16. Jahan A, Mustapha F, Ismail MY, Sapuan SM (2011) A comprehensive VIKOR method for material selection. Mater Des 32:1215–1221CrossRefGoogle Scholar
  17. Jahan A, Bahraminasab M, Edwards KL (2012) A target-based normalization technique for materials selection. Mater Des 35:647–654CrossRefGoogle Scholar
  18. Jee DH, Kang KJ (2000) A method for optimal material selection aided with decision making theory. Mater Des 21:199–206CrossRefGoogle Scholar
  19. Karande P, Chakraborty S (2012) Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection. Mater Des 37:317–324CrossRefGoogle Scholar
  20. Khabbaz RS, Manshadi BD, Abedian A, Mahmudi R (2009) A simplified fuzzy logic approach for materials selection in mechanical engineering design. Mater Des 30:687–697CrossRefGoogle Scholar
  21. Kumar V, Nair S, Tiwari R, Chakraborty I (2003) Rolling element bearing design through genetic algorithms. Eng. Optim 35(6):649–659CrossRefGoogle Scholar
  22. Liu HC, You JX, Zhen L, Fan XJ (2014) A novel hybrid multiple criteria decision making model for material selection with target-based criteria. Mater Des 60:380–390CrossRefGoogle Scholar
  23. Maniya K, Bhatt MG (2010) A selection of material using a novel type of decision-making method. Preference Selection Index Method. Mater Des 31(4):1785–1789CrossRefGoogle Scholar
  24. Manshadi BD, Mahmudi H, Abedian A, Mahmudi R (2007) A novel method for materials selection in mechanical design: combination of non-linear normalization and a modified digital logic method. Mater Des 28:8–15CrossRefGoogle Scholar
  25. Mansor MR, Sapuan SM, Zainudin ES, Nuraini AA (2013) Hybrid natural and glass fibers reinforced polymer composites material selection using analytical hierarchy process for automotive brake lever design. Mater Des 51:484–492CrossRefGoogle Scholar
  26. Milani AS, Shanian A, Madoliat R, Nemes JA (2005) The effect of normalization norms in multiple attribute decision making (MADM) models: a case study in gear material selection. Struct Multidiscip Optim 29(4):312–318CrossRefGoogle Scholar
  27. Milani AS, Shanian A, Lynam C, Scarinci T (2013) An application of the analytic network process in multiple criteria material selection. Mater Des 44:622–632CrossRefGoogle Scholar
  28. Opricovic S, Tzeng GH (2007) Extended VIKOR method in comparison with out ranking methods. Eur J Oper Res 178:514–529zbMATHCrossRefGoogle Scholar
  29. Ramanathan R, Ganesh L (1995) Energy resource allocation incorporating qualitative and quantitative criteria: an integrated model using goal programming and AHP. Socio Econ Plan Sci 29:197–218CrossRefGoogle Scholar
  30. Rao RV (2006) A material selection model using graph theory and matrix approach. Mater Sci Eng, A 431:248–255CrossRefGoogle Scholar
  31. Rao RV, Davim JP (2008) A decision-making framework model for material selection using a combined multiple attribute decision making method. Int J Adv Manuf Technol 35:751–760CrossRefGoogle Scholar
  32. Rao RV, Patel BK (2010) A subjective and objective integrated multiple attribute decision making method for material selection. Mater Des 31:4738–4747CrossRefGoogle Scholar
  33. Singh T, Patnaik A, Chauhan R (2016) Optimization of tribological properties of cement kiln dust-filled brake pad using grey relation analysis. Mater Des 89:1335–1342CrossRefGoogle Scholar
  34. Triantaphyllou E (2000) Multi-criteria decision making methods: a comparative study. Springer, Berlin. ISBN 978-1-4419-4838-0zbMATHCrossRefGoogle Scholar
  35. Yazdani M, Payam AF (2015) A comparative study on material selection of microelectromechanical systems electrostatic actuators using Ashby, VIKOR and TOPSIS. Mater Des 65:328–333CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringThe University of Eskişehir OsmangaziMeşelik, EskisehirTurkey

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