Ant Colony Optimization Algorithm for Vendor Selection in Information Systems Outsourcing
Information systems outsourcing has been one of the critical issues in information systems management. Various strategies to IS outsourcing have emerged. Although many articles have appeared on outsourcing, few have extended the discussion beyond simple cost and benefit analysis. Vendor selection is a difficult problem which includes both tangible and intangible factors. Until now, there are no effective quantitative decision models which can help outsourcer to choice vendors. In this paper, an IS outsourcing optimization model is proposed to select IS providers, while considering the cost and the risk simultaneously. Then according to the complicated nonlinear integer programming model, a modified version of ant colony optimization (ACO) is proposed to solve it. Finally, the computing results on a numerical example show the effectiveness and feasibility of the model and algorithm.
Information system Outsourcing Multi-objective optimization model Ant colony optimization (ACO) Vendor selection
Fu-ji Chen Ping Cao
Public Administration school, Fuzhou University Fuzhou, China
国际会议
北京
英文
134-137
2009-07-24（万方平台首次上网日期，不代表论文的发表时间）