@article{(Open Science Index):https://publications.waset.org/pdf/569,
	  title     = {A Context-Aware Supplier Selection Model},
	  author    = {Mohammadreza Razzazi and  Maryam Bayat},
	  country	= {},
	  institution	= {},
	  abstract     = {Selection of the best possible set of suppliers has a
significant impact on the overall profitability and success of any
business. For this reason, it is usually necessary to optimize all
business processes and to make use of cost-effective alternatives for
additional savings. This paper proposes a new efficient context-aware
supplier selection model that takes into account possible changes of
the environment while significantly reducing selection costs. The
proposed model is based on data clustering techniques while
inspiring certain principles of online algorithms for an optimally
selection of suppliers. Unlike common selection models which re-run
the selection algorithm from the scratch-line for any decision-making
sub-period on the whole environment, our model considers the
changes only and superimposes it to the previously defined best set
of suppliers to obtain a new best set of suppliers. Therefore, any recomputation
of unchanged elements of the environment is avoided
and selection costs are consequently reduced significantly. A
numerical evaluation confirms applicability of this model and proves
that it is a more optimal solution compared with common static
selection models in this field.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {3},
	  number    = {2},
	  year      = {2009},
	  pages     = {381 - 387},
	  ee        = {https://publications.waset.org/pdf/569},
	  url   	= {https://publications.waset.org/vol/26},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 26, 2009},