Skip to main content

Selection of Material Under Conflicting Situation Using Simple Ratio Optimization Technique

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 335))

Abstract

Optimal selection of material for engineering design from a set of materials is more complex due to availability of huge amount of material. An improper selection of material makes adverse effect on successful engineering design, productivity, quality, customer satisfaction, etc. Since the selection of material involves multiple criteria, therefore, the material selection problem is a multi-criteria decision making problem. A systematic and efficient approach toward the material selection is necessary in order to select the best material. In this paper, an integrated approach comprising of entropy and multiple objective on the basis of simple ratio analysis (MOOSRA) method is used to solve material selection problem. A case study on exhaust manifold has been taken for the analysis. The result shows that the carburized steel is the nest material while cast alloy is the worst material.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Amiri, M., Zandieh, M., Soltani, R., Vahdani, B.: A hybrid multi-criteria decision-making model for firms competence evaluation. Expert Syst. Appl. 36, 12314–12322 (2009)

    Article  Google Scholar 

  2. Ashby, M.F., Brechet, Y.J.M., Cebon, D., Salvoc, L.: Selection strategies for materials and processes. Mater. Des. 25, 51–67 (2004)

    Article  Google Scholar 

  3. Bai, C., Sarkis, J.: Green supplier development: analytical evaluation using rough set theory. J. Clean. Prod. 18(12), 1200–1210 (2010)

    Article  Google Scholar 

  4. Brauers, W.K.M., Ginevicius, R.: Regional development in lithuania considering multiple objectives by the Moora method. Technol. Econ. Dev. Econ. 16, 613–640 (2010)

    Article  Google Scholar 

  5. Brauers, W.K.M., Zavadskas, E.K.: The Moora method and its application to privatization in a transition economy. Control Cybern. 35(2), 445–469 (2006)

    MATH  MathSciNet  Google Scholar 

  6. Fayazbakhsh, K., Abedian, A., Manshadi, B.D.: Introducing a novel method for materials selection in mechanical design using Z-transformation in statistics for normalization of material properties. Mat. Des. 30, 4396–4404 (2009)

    Article  Google Scholar 

  7. Cavallaro, F.: Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (Csp) systems. Appl. Energy 87(2), 496–503 (2010)

    Article  Google Scholar 

  8. Isaksson, C., Karlsson, F.: Indoor climate in low-energy houses—an interdisciplinary investigation. Build. Environ. 41, 1678–1690 (2006)

    Article  Google Scholar 

  9. Chan, F.T.S., Kumar, N.: Global supplier development considering risk factors using fuzzy extended AHP-based approach. Omega 35, 417–431 (2007)

    Article  Google Scholar 

  10. Chang, B., Chang, C.-W., Wu, C.-H.: Fuzzy DEMATEL method for developing supplier selection criteria. Expert Syst. Appl. 38(3), 1850–1858 (2011)

    Article  Google Scholar 

  11. Chatterjee, P., Athawale, V.M., Chakraborty, S.: Material’s selection using complex proportional assessment and evaluation of mixed data methods. Mater. Des. 32, 851–860 (2011)

    Article  Google Scholar 

  12. Satty, T.L.: The analytic hierarchy process. McGraw-Hill, New York (1980)

    Google Scholar 

  13. Hwang, C.L., Yoon, K.: Multi criteria decision making: methods and applications, a state of art survey. Springer, New York (1981)

    Google Scholar 

  14. Kumar, R., Bhomik, C., Ray, A.: Selection of cutting tool material by TOPSIS method. In: National Conference on Recent Advancement in Mechanical Engineering (NCRAME-2013), NERIST, Itanagar, India. ISBN: 978-93-82880-71-4 (2013)

    Google Scholar 

  15. Kumar, R., Jagadish, A.R.: Selection of material: a multi-objective decision making approach. In: International Conference on Industrial Engineering (ICIE-2013), pp. 162–165. S.V. National Institute of Technology, Surat, India. ISBN: 978-93-83083-37-4 (2013)

    Google Scholar 

  16. Kumar, R., Jagadish, A.R.: Selection of cutting tool material: a holistic approach. In: 1st International Conference on Mechanical Engineering: Emerging Trends for Sustainability (ICMEETS-2014), pp. 447–452. M.A. National Institute of Technology, Bhopal, India. ISBN: 978-93-83083-45-9 (2013)

    Google Scholar 

  17. Rao, R.V., Patel, B.K.: A subjective and objective integrated multiple attribute decision making method for material selection. Mater. Des. 37(10), 4738–4747 (2010)

    Article  Google Scholar 

  18. Chatterjee, P., Chakraborty, S.: Material selection using preferential ranking methods. Mater. Des. 35, 384–393 (2012)

    Article  Google Scholar 

  19. Chen, C.C., Tseng, M.L., Lin, Y.H.: Using fuzzy DEMATEL to develop a causal and effect model of hot spring service quality expectation. In: IEEE International Conference on Industrial Engineering and Engineering Management, pp. 1004–1008 (2008)

    Google Scholar 

  20. Dagdeviren, M.: Decision making in equipment selection: an integrated approach with AHP and PROMETHEE. J. Intell. Manuf. 19(4), 397–406 (2008)

    Article  Google Scholar 

  21. Deng, Y.-M., Edward, K.L.: The role of materials identification and selection in engineering design. Mater. Des. 28, 131–139 (2007)

    Article  Google Scholar 

  22. Dweiri, F., Al-Oqla, F.M.: Material selection using analytical hierarchy process. Int. J. Comput. Appl. Technol. 26, 182–189 (2006)

    Article  Google Scholar 

  23. Edwards, K.L.: Selecting materials for optimum use in engineering components. Mater. Des. 26, 469–474 (2005)

    Article  Google Scholar 

  24. Karande, P., Chakraborty, S.: Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection. Mater. Des. 37, 317–324 (2012)

    Article  Google Scholar 

  25. Kelemenis, A., Askounis, D.: A new TOPSIS-based multi-criteria approach to personnel selection. Expert Syst. Appl. 37(7), 4999–5008 (2010)

    Article  Google Scholar 

  26. Das, M.C., Sarkar, B., Ray, S.: Decision making under conflicting environment: a new MCDM method. Int. J. Appl. Sci. 5(2), 2012 (2012)

    Google Scholar 

  27. Khorshidi, R., Hassani, A.: Comparative analysis between TOPSIS and PSI methods of materials selection to achieve a desirable combination of strength and workability in Al/SIC composite. Mater. Des. 52, 999–1010 (2013)

    Article  Google Scholar 

  28. Shanian, A., Savadogo, O.: TOPSIS multiple-criteria decision support analysis for material selection of metallic bipolar plates for polymer electrolyte fuel cell. J. Power Sources 159, 1095–1104 (2006)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rajnish Kumar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer India

About this paper

Cite this paper

Kumar, R., Ray, A. (2015). Selection of Material Under Conflicting Situation Using Simple Ratio Optimization Technique. In: Das, K., Deep, K., Pant, M., Bansal, J., Nagar, A. (eds) Proceedings of Fourth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 335. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2217-0_42

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-2217-0_42

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2216-3

  • Online ISBN: 978-81-322-2217-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics