Abstract
Supply chain management and strategic sourcing are one of the fastest growing areas of management. Costs of purchasing raw material and components parts from external suppliers are very important. The search for new suppliers is a continuous priority for companies in order to upgrade the variety and typology of their production range. Supplier assessment and selection is one of the most important components of supply chain, and it influences the long term commitments and performance of the company. Good suppliers allow enterprises to achieve good manufacturing performance and make the maximum benefits for practitioners. This paper outlines some current approaches of fuzzy models which are implemented in the terms to improve supplier assessment and selection decision making.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Tepić, J., Tanackov, I., Stojić, G.: Ancient logistics - Historical timeline and etymology. Tehnicki Vjesnik - Technical Gazette 18(3), 379–384 (2011)
Burke, G.J., Carrillo, J.E., Vakharia, A.J.: Single versus multiple supplier sourcing strate-gies. European Journal of Operational Research 182(1), 95–112 (2007)
Weber, C.A., Current, J.R.: A multiobjective approach to vendor selection. European Journal of Operational Research 68(2), 173–184 (1993)
De Boer, L.: Operations research in support of purchasing. Design of a toolbox for supplier selection. Ph.D. Thesis, University of Twente, Enschede, The Netherlands (1998)
de Boer, L., Labro, E., Morlacchi, P.: A review of methods supporting supplier selection. European Journal of Purchasing & Supply Management 7(2), 75–89 (2001)
Talluri, S., Baker, R.C.: A multi-phase mathematical programming approach for effective supply chain design. European Journal of Operational Research 141(3), 544–558 (2002)
Talluri, S., Narasimhan, R.: Vendor evaluation with performance variability: A max–min approach. European Journal of Operational Research 146(3), 543–552 (2003)
Wang, T.Y., Yang, Y.H.: A fuzzy model for supplier selection in quantity discount environments. Expert Systems with Applications 36(10), 12179–12187 (2009)
Ho, W., Xu, X., Dey, P.K.: Multi-criteria decision making approaches for supplier evaluation and selection: a literature review. European Journal of Operational Research 202(1), 16–24 (2010)
Simić, D., Svirčević, V., Simić, S.: An approach of genetic algorithm to model supplier assessment in inbound logistics. Advances in Intelligent Systems and Computing 188, 83–92 (2013)
Dickson, G.W.: An analysis of vendor selection system and decisions. Journal of Purchasing 2(1), 5–17 (1966)
Wu, D.D., Zhang, Y., Wu, D., Olson, D.L.: Fuzzy multi-objective programming for supplier selection and risk modeling: A possibility approach. European Journal of Operational Research 200(3), 774–787 (2010)
Pattnaik, M.: Supplier selection strategies on fuzzy decision space. General Mathematics Notes 4(1), 49–69 (2011)
Amindoust, A., Ahmed, S., Saghafinia, A., Bahreininejad, A.: Sustainable supplier selection: A ranking model based on fuzzy inference system. Applied Soft Computing 12(6), 1668–1677 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Simić, D., Svirčević, V., Simić, S. (2014). An Approach of Fuzzy Models for Supplier Assessment and Selection. In: de la Puerta, J., et al. International Joint Conference SOCO’14-CISIS’14-ICEUTE’14. Advances in Intelligent Systems and Computing, vol 299. Springer, Cham. https://doi.org/10.1007/978-3-319-07995-0_18
Download citation
DOI: https://doi.org/10.1007/978-3-319-07995-0_18
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07994-3
Online ISBN: 978-3-319-07995-0
eBook Packages: EngineeringEngineering (R0)