Application of Association Rule Mining in Supplier Selection Criteria
In this paper the application of rule mining in order to
review the effective factors on supplier selection is reviewed in the
following three sections 1) criteria selecting and information
gathering 2) performing association rule mining 3) validation and
constituting rule base. Afterwards a few of applications of rule base
is explained. Then, a numerical example is presented and analyzed
by Clementine software. Some of extracted rules as well as the
results are presented at the end.
[1] G.W. Dickson, An analysis of vendor selection systems and decisions,
Journal of Purchasing 2 (1) (1966), pp. 5-17.
[2] C.A. Weber, J.R. Current and W.C. Benton, Vendor selection criteria
and methods, European Journal of Operational Research 50 (1) (1991),
pp. 2-18.
[3] C.A. Weber, J.R. Current and A. Desai, Non-cooperative negotiation
strategies for vendor selection, European Journal of Operational
Research 108 (1998), pp. 208-223.
[4] L. De Boer, E. Labro and P. Morlacchi, A review of methods supporting
supplier selection, European Journal of Purchasing & Supply
Management 7 (2) (2001), pp. 75-89.
[5] Morlacchi, P. (1999). Vendor evaluation and selection: the design
process and a fuzzy-hierarchical model. In Proceedings of 8th
International Annual IPSERA Conference, Belfast, Dublin.
[6] S.H. Ghodsypour and C. O-Brien, A decision support system for
supplier selection using an integrated analytic hierarchy process and
linear programming, International Journal of Production Economics
(1998), pp. 199-212.
[7] C.A. Weber, J.R. Current and A. Desai, An optimization approach to
determining the number of vendors to employ, Supply Chain
Management: an International Journal 5 (2) (2000), pp. 90-98.
[8] G. Wang, S.H. Huang and J.P. Dismukes, Product-driven supply chain
selection using integrated multi-criteria decision-making methodology,
International Journal of Production Economics 91 (1) (2004), pp. 1-15.
[9] Sung Ho Ha and Ramayya Krishnan, A hybrid approach to supplier
selection for the maintenance of a competitive supply chain, Expert
Systems with Applications, Volume 34,Issue 2, February 2008, Pages
1303-1311
[10] Sushmita Mitra, Tinku Acharya, Data Mining Multimedia, Soft
Computing and Bioinformatics, John Wiley & Sons Publication, (2003)
pp 269-271
[1] G.W. Dickson, An analysis of vendor selection systems and decisions,
Journal of Purchasing 2 (1) (1966), pp. 5-17.
[2] C.A. Weber, J.R. Current and W.C. Benton, Vendor selection criteria
and methods, European Journal of Operational Research 50 (1) (1991),
pp. 2-18.
[3] C.A. Weber, J.R. Current and A. Desai, Non-cooperative negotiation
strategies for vendor selection, European Journal of Operational
Research 108 (1998), pp. 208-223.
[4] L. De Boer, E. Labro and P. Morlacchi, A review of methods supporting
supplier selection, European Journal of Purchasing & Supply
Management 7 (2) (2001), pp. 75-89.
[5] Morlacchi, P. (1999). Vendor evaluation and selection: the design
process and a fuzzy-hierarchical model. In Proceedings of 8th
International Annual IPSERA Conference, Belfast, Dublin.
[6] S.H. Ghodsypour and C. O-Brien, A decision support system for
supplier selection using an integrated analytic hierarchy process and
linear programming, International Journal of Production Economics
(1998), pp. 199-212.
[7] C.A. Weber, J.R. Current and A. Desai, An optimization approach to
determining the number of vendors to employ, Supply Chain
Management: an International Journal 5 (2) (2000), pp. 90-98.
[8] G. Wang, S.H. Huang and J.P. Dismukes, Product-driven supply chain
selection using integrated multi-criteria decision-making methodology,
International Journal of Production Economics 91 (1) (2004), pp. 1-15.
[9] Sung Ho Ha and Ramayya Krishnan, A hybrid approach to supplier
selection for the maintenance of a competitive supply chain, Expert
Systems with Applications, Volume 34,Issue 2, February 2008, Pages
1303-1311
[10] Sushmita Mitra, Tinku Acharya, Data Mining Multimedia, Soft
Computing and Bioinformatics, John Wiley & Sons Publication, (2003)
pp 269-271
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:63809", author = "A. Haery and N. Salmasi and M. Modarres Yazdi and H. Iranmanesh", title = "Application of Association Rule Mining in Supplier Selection Criteria", abstract = "In this paper the application of rule mining in order to
review the effective factors on supplier selection is reviewed in the
following three sections 1) criteria selecting and information
gathering 2) performing association rule mining 3) validation and
constituting rule base. Afterwards a few of applications of rule base
is explained. Then, a numerical example is presented and analyzed
by Clementine software. Some of extracted rules as well as the
results are presented at the end.", keywords = "Association rule mining, data mining, supplierselection criteria.", volume = "2", number = "4", pages = "528-5", }
