A Group Decision-making Model for Multi-criteria Supplier Selection in the Presence of Ordinal Data
Supplier selection is increasingly becoming a strategic issue for companies in supply chains and it is usually made by multiple decision makers according to multiple criteria.However,almost all the supplier selection models are based on single-person decision-making and lay less emphasis on ordinal data.So a multi-criteria group decision-making method developed for supplier selection with ordinal preferences of alternatives given by decision makers in respect to each criteria considered.At first,the individual ordinal preferences of the alternatives under each criteria were aggregated to the rankings of them for the group by 0-1 programming considering the weights of decision makers.Then the final rankings of the alternatives were derived from the group rankings of them above by 0-1 programming again after the criteria weights were taken into account.An illustrative case and some discussions show the proposed method is effective and simple in computation.This study extends Bernardos method for multi-criteria decisionmaking to multi-criteria group decision-making considering the weights of criteria and decision makers with respect to each criteria.
supply chain management supplier selection multicriteria group decision-making ordinal preference 0-1 programming
Wu Li Wanan Cui Yan Chen Yingzi Fu
Department of Mechanical andElectrical Engineering,Hunan Instituteof Science and Technology,Yueyang4 College of Management,Guangxi University of Nationalities,Nanning 530006,China;Postdoctoral Station, Department of Mathematics,Hunan Institute of Science andTechnology,Yueyang 414006,China. Department of Mathematics,Hunan Institute of Science and Technology,Yueyang 414006,China.
国际会议
北京
英文
2008-10-12（万方平台首次上网日期，不代表论文的发表时间）