A Decision-Making Model for Supplier Selection in Public Procurement

Jianjun YU, Xiaofei CAI

Abstract


Public procurement is a multi-criteria decision-making (MCDM) problem that meets lexicographic preference to some extent. In this paper, a two-layer method that meets lexicographic preference selection was proposed to address the government procurement decision-making problem of multi experts in the fuzzy environment. The decision-making process of this model is divided into two steps. Firstly, attributes of multiple experts were collected according to their rights of speech, getting the comprehensive attribute preference order. Secondly, the program meeting lexicographic preference was decided based on the comprehensive attributes. Finally, the proposed model was applied to the firefighting cushion bidding case of Fire Station of A public security department. Results demonstrated that the proposed model is applicable to public procurement decision-making and can provide effective references to decision-making on government procurement.


Keywords


Lexicographic preference; Multi-criteria decision-making; Public procurement

Full Text:

PDF

References


Almeida, A. T. (2007). Multicriteria decision model for outsourcing contracts selectiong based on utility function and ELECTRE method. Computers & Operations Reseach, 34(35), 69-74.

Brans, J. P., & Vincke, P. H. (1985). A preference ranking organization method. Management Science, 31(6), 47-56.

Isiklar, G., & Buyukozkan, G. (2007). Using a multi-criteria decision making approach to evaluate mobile phone alternatives. Computer Standards & Interfaces, 29(2), 65-74.

Jozsef, D., & Nandor, V. (2005). The lexicographic decision function. Acta Cybernetica, 17(5), 95-106.

Lin, Y., & Ma, S. H. (2000) Research on supplier’s comprehensive evaluation and selection in supply chain management environment. Logistics Technology, 16(5), 30-32.

Liu, X. J. (1996). Discussion on the analytic hierarchy process of quantitative multi criteria decision making. Operations Research and Management Science, 53(3), 10-15.

Lou, P., & Chen, Y. P. (2002). AHP/DEA method for supplier selection in agile supply chain. Journal of Huazhong University of Science and Technology (Natural Science Edition), (4), 29-31.

Nicola, C., Mariagrazia, D., & Falagaria, M., et al. (2011). Using fuzzy decision making for supplier selection in public procurement. Journal of Public Procurement, 11(3), 403-427.

Nydick, L., & Hill, R. P. (1992). Using the analytic hierarchy process to structure the supplier selection procedure. International Journal of Purchasing and Materials Management, (35), 31-36.

Roodhooft, F., & Jozef, K. (1996)Vendor selection and evaluation an activity based costing approach. European Journal of Operational Research, (96), 97-102.

Yang, L. (2007). Multi index group decision-making method under incomplete information. System Engineering-Theory & Practice, 5(3), 172-176.

Yang, L., Zhu, Y. Q., & Liao, G. J. (2015). Selection method of military materials suppliers based on lexicographic preference. Journal of System Engineering and Electronics, 37(04), 827-830.

Zeger, D., Labro, E., Roodhooft, F. (2000). An evaluation of vendor selectiong models from a total cost of ownership perspective. European Journal of Operational Reseach, 14(125), 34-58.

Zhang, J., Dong, C., Wu, X. Y. (2001). Using AHP and LP to solve the problem of supplier selection. China Business and Market, 9(l), 28-34.




DOI: http://dx.doi.org/10.3968/n

Refbacks

  • There are currently no refbacks.


Copyright (c) 2017 xiaofei Cai

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.


Share us to:   


Reminder

  • We are currently accepting submissions via email only.

    The registration and online submission functions have been disabled.

    Please send your manuscripts to mse@cscanada.net,or mse@cscanada.org  for consideration.

    We look forward to receiving your work.

 


We only use three mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:
caooc@hotmail.com; mse@cscanada.net; mse@cscanada.org

 Articles published in Management Science and Engineering are licensed under Creative Commons Attribution 4.0 (CC-BY).

 MANAGEMENT SCIENCE AND ENGINEERING Editorial Office

Address:1055 Rue Lucien-L'Allier, Unit #772, Montreal, QC H3G 3C4, Canada.

Telephone: 1-514-558 6138
Http://www.cscanada.net Http://www.cscanada.org

Copyright © 2010 Canadian Research & Development Centre of Sciences and Cultures