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Supplier selection towards uncertain and unavailable information: An extension of TOPSIS method

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  • Sureeyatanapas, Panitas
  • Sriwattananusart, Kawinpob
  • Niyamosoth, Thanawath
  • Sessomboon, Weerapat
  • Arunyanart, Sirawadee

Abstract

Due to intensive competition among business corporations, the selection of supplier becomes more significant for business success. However, supplier selection problems are complex since a large number of criteria need to be considered and, frequently, some criteria cannot be assessed precisely. Moreover, fluctuations of supplier performances as well as unknown information always exist in real-world decisions. This study, therefore, aims to propose a method to facilitate practitioners to logically select a supplier, even when uncertainty and/or unavailability of the assessment information emerge. The TOPSIS method is chosen to be the basis for this development. The rank order centroid (ROC) method is chosen to determine the weights of criteria in order to lessen the degree of subjectivity required from the decision makers as well as uncertainty of the weights assignment. A case of egg supplier selection is given to demonstrate the implementation procedures of the proposed method.

Suggested Citation

  • Sureeyatanapas, Panitas & Sriwattananusart, Kawinpob & Niyamosoth, Thanawath & Sessomboon, Weerapat & Arunyanart, Sirawadee, 2018. "Supplier selection towards uncertain and unavailable information: An extension of TOPSIS method," Operations Research Perspectives, Elsevier, vol. 5(C), pages 69-79.
    • Handle: RePEc:eee:oprepe:v:5:y:2018:i:c:p:69-79
    DOI: 10.1016/j.orp.2018.01.005
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    1. Liao, Zhiying & Rittscher, Jens, 2007. "A multi-objective supplier selection model under stochastic demand conditions," International Journal of Production Economics, Elsevier, vol. 105(1), pages 150-159, January.
    2. Weber, Charles A. & Current, John R. & Benton, W. C., 1991. "Vendor selection criteria and methods," European Journal of Operational Research, Elsevier, vol. 50(1), pages 2-18, January.
    3. Craig W. Kirkwood & Rakesh K. Sarin, 1985. "Ranking with Partial Information: A Method and an Application," Operations Research, INFORMS, vol. 33(1), pages 38-48, February.
    4. Yang, Jian-Bo, 2001. "Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties," European Journal of Operational Research, Elsevier, vol. 131(1), pages 31-61, May.
    5. Chia-Wei Hsu & Tsai-Chi Kuo & Guey-Shin Shyu & Pi-Shen Chen, 2014. "Low Carbon Supplier Selection in the Hotel Industry," Sustainability, MDPI, vol. 6(5), pages 1-27, May.
    6. Dagmara Nawrocka, 2008. "Environmental supply chain management, ISO 14001 and RoHS. How are small companies in the electronics sector managing?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 15(6), pages 349-360, November.
    7. Lootsma, F. A., 1980. "Saaty's priority theory and the nomination of a senior professor in operations Research," European Journal of Operational Research, Elsevier, vol. 4(6), pages 380-388, June.
    8. Ho, William & Xu, Xiaowei & Dey, Prasanta K., 2010. "Multi-criteria decision making approaches for supplier evaluation and selection: A literature review," European Journal of Operational Research, Elsevier, vol. 202(1), pages 16-24, April.
    9. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    10. Belton, Valerie, 1986. "A comparison of the analytic hierarchy process and a simple multi-attribute value function," European Journal of Operational Research, Elsevier, vol. 26(1), pages 7-21, July.
    11. Shimshak, Daniel G. & Lenard, Melanie L. & Klimberg, Ronald K., 2009. "Incorporating quality into data envelopment analysis of nursing home performance: A case study," Omega, Elsevier, vol. 37(3), pages 672-685, June.
    12. Yeu-Shiang Huang & Wei-Hao Li, 2012. "A Study on Aggregation of TOPSIS Ideal Solutions for Group Decision-Making," Group Decision and Negotiation, Springer, vol. 21(4), pages 461-473, July.
    13. Belton, Valerie & Gear, Tony, 1983. "On a short-coming of Saaty's method of analytic hierarchies," Omega, Elsevier, vol. 11(3), pages 228-230.
    14. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, June.
    15. F. Hutton Barron & Bruce E. Barrett, 1996. "Decision Quality Using Ranked Attribute Weights," Management Science, INFORMS, vol. 42(11), pages 1515-1523, November.
    16. Wetzstein, Anton & Hartmann, Evi & Benton jr., W.C. & Hohenstein, Nils-Ole, 2016. "A systematic assessment of supplier selection literature – State-of-the-art and future scope," International Journal of Production Economics, Elsevier, vol. 182(C), pages 304-323.
    17. Ramanathan, R. & Ganesh, L. S., 1994. "Group preference aggregation methods employed in AHP: An evaluation and an intrinsic process for deriving members' weightages," European Journal of Operational Research, Elsevier, vol. 79(2), pages 249-265, December.
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