Title: A hybrid model for sourcing selection with order quantity allocation with multiple objectives under fuzzy environment
Authors: P. Parthiban, M. Punniyamoorthy, K. Ganesh, G. Ranga Janardhana
Addresses: Department of Production Engineering, National Institute of Technology, Tiruchirapalli – 620 015, India. ' Department of Management Studies, National Institute of Technology, Tiruchirapalli – 620 015, India. ' Integrated Supply Chain, Manufacturing Industry Solutions Unit, Tata Consultancy Services Limited, Vikhroli West, Mumbai – 400079, India. ' Department of Mechanical Engineering, J.N.T. University, Kukatpally, Hyderabad – 500 072, India
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.
Keywords: sourcing selection; order quantity allocation; data envelopment analysis; DEA; genetic algorithms; GAs; multicriteria decision making; MCDM; hybrid modelling; fuzzy logic.
International Journal of Applied Decision Sciences, 2009 Vol.2 No.3, pp.275 - 298
Published online: 20 Aug 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article