A hybrid model for sourcing selection with order quantity allocation with multiple objectives under fuzzy environment. (21st August 2009)

• Record Type: Journal Article
• Authors: Parthiban, P.; Punniyamoorthy, M.; Ganesh, K.; Ranga Janardhana, G.
• Is Part Of: International journal of applied decision sciences. Volume 2:Number 3(2009)
• Page Start: 275
• Page End: 298
• Publication Date: 2009-08-21
• Subjects: sourcing selection -- order quantity allocation -- data envelopment analysis -- DEA -- genetic algorithms -- GAs -- multicriteria decision making -- MCDM -- hybrid modelling -- fuzzy logic; Decision making -- Periodicals; Management science -- Periodicals; 658.403005
• Languages: English
• ISSNs: 1755-8077

Abstract

In the face of acute global competition, sourcing selection with order quantity allocation is rapidly growing as a vital issue to any organisation striving for success in business and sustainable competitive advantage. Sourcing selection is a complex multi criteria decision making problem and the complexity increases with the interdependence among the selection criteria. To model the uncertainties encountered in the integrated sourcing selection and order allocation methodology, fuzzy theory is adopted. A hybrid model with the integration of data envelopment analysis and genetic algorithm is proposed in this paper. The hybrid model is illustrated for a case study.