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Mathematical Problems in Engineering
Volume 2017, Article ID 9010857, 15 pages
https://doi.org/10.1155/2017/9010857
Research Article

Preference Evaluation System for Construction Products Using QFD-TOPSIS Logic by Considering Trade-Off Technical Characteristics

1Department of Architectural Engineering, Dankook University, 152, Jukjeon-ro, Suji-gu, Yongin-si, Gyeonggi-do 16890, Republic of Korea
2Department of Architecture, Kyung Hee University, 1732, Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Republic of Korea

Correspondence should be addressed to Jungsik Choi; moc.liamg@iohckisgnuj

Received 29 August 2016; Accepted 30 October 2016; Published 26 January 2017

Academic Editor: Anna M. Gil-Lafuente

Copyright © 2017 Jaeho Cho et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. R. S. C. Mateo, “Multi-criteria analysis,” in Multi Criteria Analysis in the Renewable Energy Industry, Green Energy and Technology, pp. 7–10, Springer, Berlin, Germany, 2012. View at Publisher · View at Google Scholar
  2. K. L. Edwards, “Selecting materials for optimum use in engineering components,” Materials and Design, vol. 26, no. 5, pp. 469–473, 2005. View at Publisher · View at Google Scholar · View at Scopus
  3. Y. Tian, S. Wang, X. Bai, G. Luo, and Y. Xu, “Trade-offs among ecosystem services in a typical Karst watershed, SW China,” The Science of the Total Environment, vol. 566-567, pp. 1297–1308, 2016. View at Publisher · View at Google Scholar
  4. T. Yang and X. Zhang, “Benchmarking the building energy consumption and solar energy trade-offs of residential neighborhoods on Chongming Eco-Island, China,” Applied Energy, vol. 180, pp. 792–799, 2016. View at Publisher · View at Google Scholar
  5. X. Tang, B. C. McLellan, B. Zhang, S. Snowden, and M. Höök, “Trade-off analysis between embodied energy exports and employment creation in China,” Journal of Cleaner Production, vol. 134, pp. 310–319, 2016. View at Publisher · View at Google Scholar · View at Scopus
  6. P. R. Drake, “Using the analytic hierarchy process in engineering education,” International Journal of Engineering Education, vol. 14, no. 3, pp. 191–196, 1998. View at Google Scholar · View at Scopus
  7. V. Kutut, E. K. Zavadskas, and M. Lazauskas, “Assessment of priority options for preservation of historic city centre buildings using MCDM (ARAS),” Procedia Engineering, vol. 57, pp. 657–661, 2013. View at Publisher · View at Google Scholar
  8. J. Rezaei, “Best-worst multi-criteria decision-making method,” Omega, vol. 53, pp. 49–57, 2015. View at Publisher · View at Google Scholar · View at Scopus
  9. W. Sałabun, “The characteristic objects method: a new distance-based approach to multicriteria decision-making problems,” Journal of Multi-Criteria Decision Analysis, vol. 22, no. 1-2, pp. 37–50, 2015. View at Publisher · View at Google Scholar · View at Scopus
  10. B. Vytautas, B. Marija, and P. Vytautas, “Assessment of neglected areas in Vilnius city using MCDM and COPRAS methods,” Procedia Engineering, vol. 122, pp. 29–38, 2015. View at Publisher · View at Google Scholar
  11. S. Greco, B. Matarazzo, and R. Słowiński, “Rough sets theory for multi-criteria decision analysis,” European Journal of Operational Research, vol. 129, no. 1, pp. 1–47, 2001. View at Publisher · View at Google Scholar · View at Scopus
  12. M. K. Ghorabaee, E. K. Zavadskas, L. Olfat, and Z. Turskis, “Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS),” Informatica (Netherlands), vol. 26, no. 3, pp. 435–451, 2015. View at Publisher · View at Google Scholar · View at Scopus
  13. B. O. Saracoglu, “An experimental research study on the solution of a private small hydropower plant investments selection problem by ELECTRE III/IV, Shannon's entropy, and Saaty's subjective criteria weighting,” Advances in Decision Sciences, vol. 2015, Article ID 548460, 20 pages, 2015. View at Publisher · View at Google Scholar · View at Scopus
  14. J.-B. Yang and D.-L. Xu, “On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty,” IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans, vol. 32, no. 3, pp. 289–304, 2002. View at Publisher · View at Google Scholar · View at Scopus
  15. J. W. K. Chan and T. K. L. Tong, “Multi-criteria material selections and end-of-life product strategy: grey relational analysis approach,” Materials & Design, vol. 28, no. 5, pp. 1539–1546, 2007. View at Publisher · View at Google Scholar · View at Scopus
  16. R. L. Keeney and H. Raiffa, Decisions with Multiple Objectives-Preferences and Value Tradeoffs, Cambridge University Press, Cambridge, UK, 1993.
  17. A. Hafezalkotob, A. Hafezalkotob, and M. K. Sayadi, “Extension of MULTIMOORA method with interval numbers: an application in materials selection,” Applied Mathematical Modelling, vol. 40, no. 2, pp. 1372–1386, 2016. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  18. S. Murat, H. Kazan, and S. S. Coskun, “An application for measuring performance quality of schools by using the PROMETHEE multi-criteria decision making method,” Procedia-Social and Behavioral Sciences, vol. 195, pp. 729–738, 2015. View at Publisher · View at Google Scholar
  19. R. Lahdelma and P. Salminen, “SMAA-2: stochastic multicriteria acceptability analysis for group decision making,” Operations Research, vol. 49, no. 3, pp. 444–454, 2001. View at Publisher · View at Google Scholar · View at Scopus
  20. C. M. Tam, T. K. L. Tong, and Y. W. Wong, “Selection of concrete pump using the superiority and inferiority ranking method,” Journal of Construction Engineering and Management, vol. 130, no. 6, pp. 827–834, 2004. View at Publisher · View at Google Scholar · View at Scopus
  21. X. Zhang and Z. Xu, “The TODIM analysis approach based on novel measured functions under hesitant fuzzy environment,” Knowledge-Based Systems, vol. 61, pp. 48–58, 2014. View at Publisher · View at Google Scholar · View at Scopus
  22. J. Qin, X. Liu, and W. Pedrycz, “An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment,” European Journal of Operational Research, vol. 258, no. 2, pp. 626–638, 2017. View at Publisher · View at Google Scholar
  23. C. L. Hwang and K. P. Yoon, Multiple Attribute Decision Making: Methods and Applications, vol. 186, Springer, New York, NY, USA, 1981. View at MathSciNet
  24. J. Cho and J. Chun, “Performance requirements on remodeling apartment housing and TOPSIS evaluation,” Mathematical Problems in Engineering, vol. 2015, Article ID 357981, 12 pages, 2015. View at Publisher · View at Google Scholar · View at Scopus
  25. P. Wang, Z. Zhu, and Y. Wang, “A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design,” Information Sciences, vol. 345, no. 1, pp. 27–45, 2016. View at Publisher · View at Google Scholar
  26. S. Opricovic and G.-H. Tzeng, “Extended VIKOR method in comparison with outranking methods,” European Journal of Operational Research, vol. 178, no. 2, pp. 514–529, 2007. View at Publisher · View at Google Scholar · View at Scopus
  27. M. Aghajani Mir, P. Taherei Ghazvinei, N. M. N. Sulaiman et al., “Application of TOPSIS and VIKOR improved versions in a multi criteria decision analysis to develop an optimized municipal solid waste management model,” Journal of Environmental Management, vol. 166, pp. 109–115, 2016. View at Publisher · View at Google Scholar · View at Scopus
  28. http://www.hsor.org/what_is_or.cfm?name=mutli-attribute_utility_theory.
  29. J. Cho, J. Chun, I. Kim, and J. Choi, “QFD based benchmarking logic using topsis and suitability index,” Mathematical Problems in Engineering, vol. 2015, Article ID 851303, 13 pages, 2015. View at Publisher · View at Google Scholar · View at Scopus
  30. Y. Akao, “Development history of quality function deployment,” in Proceedings of Customer Driven Approach to Quality Planning and Deployment, p. 339, Tokyo, Japan, 1994.
  31. J. A. Carnevalli and P. C. Miguel, “Review, analysis and classification of the literature on QFD—types of research, difficulties and benefits,” International Journal of Production Economics, vol. 114, no. 2, pp. 737–754, 2008. View at Publisher · View at Google Scholar · View at Scopus
  32. I. Dikmen, M. T. Birgonul, and S. Kiziltas, “Strategic use of quality function deployment (QFD) in the construction industry,” Building and Environment, vol. 40, no. 2, pp. 245–255, 2005. View at Publisher · View at Google Scholar · View at Scopus
  33. Y. Q. Yang, S. Q. Wang, M. Dulaimi, and S. P. Low, “A fuzzy quality function deployment system for buildable design decision-makings,” Automation in Construction, vol. 12, no. 4, pp. 381–393, 2003. View at Publisher · View at Google Scholar · View at Scopus
  34. L.-K. Chan and M.-L. Wu, “A systematic approach to quality function deployment with a full illustrative example,” Omega, vol. 33, no. 2, pp. 119–139, 2005. View at Publisher · View at Google Scholar · View at Scopus
  35. L.-H. Chen and W.-C. Ko, “Fuzzy approaches to quality function deployment for new product design,” Fuzzy Sets and Systems, vol. 160, no. 18, pp. 2620–2639, 2009. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  36. R. Y. K. Fung, Y. Chen, and J. Tang, “Estimating the functional relationships for quality function deployment under uncertainties,” Fuzzy Sets and Systems, vol. 157, no. 1, pp. 98–120, 2006. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  37. S. Yousefie, M. Mohammadi, and J. H. Monfared, “Selection effective management tools on setting European Foundation for Quality Management (EFQM) model by a quality function deployment (QFD) approach,” Expert Systems with Applications, vol. 38, no. 8, pp. 9633–9647, 2011. View at Publisher · View at Google Scholar · View at Scopus
  38. Y. Lin, H.-P. Cheng, M.-L. Tseng, and J. C. C. Tsai, “Using QFD and ANP to analyze the environmental production requirements in linguistic preferences,” Expert Systems with Applications, vol. 37, no. 3, pp. 2186–2196, 2010. View at Publisher · View at Google Scholar · View at Scopus
  39. H. Raharjo, A. C. Brombacher, and M. Xie, “Dealing with subjectivity in early product design phase: a systematic approach to exploit quality function deployment potentials,” Computers & Industrial Engineering, vol. 55, no. 1, pp. 253–278, 2008. View at Publisher · View at Google Scholar · View at Scopus
  40. C. Garibay, H. Gutiérrez, and A. Figueroa, “Evaluation of a digital library by means of quality function deployment (QFD) and the Kano model,” The Journal of Academic Librarianship, vol. 36, no. 2, pp. 125–132, 2010. View at Publisher · View at Google Scholar · View at Scopus
  41. M. Azadi and R. Farzipoor Saen, “A combination of QFD and imprecise DEA with enhanced Russell graph measure: a case study in healthcare,” Socio-Economic Planning Sciences, vol. 47, no. 4, pp. 281–291, 2013. View at Publisher · View at Google Scholar · View at Scopus
  42. Y.-L. Li, J.-F. Tang, K.-S. Chin, Y. Han, and X.-G. Luo, “A rough set approach for estimating correlation measures in quality function deployment,” Information Sciences, vol. 189, pp. 126–142, 2012. View at Publisher · View at Google Scholar · View at Scopus
  43. T. Park and K.-J. Kim, “Determination of an optimal set of design requirements using house of quality,” Journal of Operations Management, vol. 16, no. 5, pp. 569–581, 1998. View at Publisher · View at Google Scholar · View at Scopus
  44. M. E. Pullman, W. L. Moore, and D. G. Wardell, “A comparison of quality function deployment and conjoint analysis in new product design,” Journal of Product Innovation Management, vol. 19, no. 5, pp. 354–364, 2002. View at Publisher · View at Google Scholar · View at Scopus
  45. H. Moskowitz and K. J. Kim, “QFD optimizer: a novice friendly quality function deployment decision support system for optimizing product designs,” Computers & Industrial Engineering, vol. 32, no. 3, pp. 641–655, 1997. View at Publisher · View at Google Scholar · View at Scopus
  46. D. Ginn and M. Zairi, “Best practice QFD application: an internal/external benchmarking approach based on Ford Motors' experience,” International Journal of Quality and Reliability Management, vol. 22, no. 1, pp. 38–58, 2005. View at Publisher · View at Google Scholar · View at Scopus
  47. W. Yan, L. P. Khoo, and C.-H. Chen, “A QFD-enabled product conceptualisation approach via design knowledge hierarchy and RCE neural network,” Knowledge-Based Systems, vol. 18, no. 6, pp. 279–293, 2005. View at Publisher · View at Google Scholar · View at Scopus
  48. S. M. Ahmed, L. P. Sang, and Ž. M. Torbica, “Use of quality function deployment in civil engineering capital project planning,” Journal of Construction Engineering and Management, vol. 129, no. 4, pp. 358–368, 2003. View at Publisher · View at Google Scholar · View at Scopus
  49. Z. S. Xu and R. R. Yager, “Dynamic intuitionistic fuzzy multi-attribute decision making,” International Journal of Approximate Reasoning, vol. 48, no. 1, pp. 246–262, 2008. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  50. M. Li, L. Jin, and J. Wang, “A new MCDM method combining QFD with TOPSIS for knowledge management system selection from the user's perspective in intuitionistic fuzzy environment,” Applied Soft Computing, vol. 21, pp. 28–37, 2014. View at Publisher · View at Google Scholar · View at Scopus
  51. K. P. Yoon and C. Hwang, Multiple Attribute Decision Making: An Introduction, SAGE, California, Calif, USA, 1995.
  52. E. K. Zavadskas, A. Zakarevicius, and J. Antucheviciene, “Evaluation of ranking accuracy in multi-criteria decisions,” Lithuanian Academy of Sciences. Informatica (Vilnius), vol. 17, no. 4, pp. 601–618, 2006. View at Google Scholar · View at MathSciNet
  53. S. Sivaloganathan, N. F. O. Evbuomwan, A. Jebb, and H. P. Wynn, “Design function deployment—a design system for the future,” Design Studies, vol. 16, no. 4, pp. 447–470, 1995. View at Publisher · View at Google Scholar · View at Scopus
  54. F. Yasamis-Speroni, D.-E. Lee, and D. Arditi, “Evaluating the quality performance of pavement contractors,” Journal of Construction Engineering and Management, vol. 138, no. 10, pp. 1114–1124, 2012. View at Publisher · View at Google Scholar · View at Scopus