Title :
Ant colony algorithm for the partner selection problem in a complex product system project
Author :
Shou, Yongyi ; Song, Chunjiang
Author_Institution :
Sch. of Manage., Zhejiang Univ., Hangzhou, China
Abstract :
Partner selection is critical for the success of a complex product system (CoPS) project. The factors influencing partner selection are summarized and quantified, and a multi-objective integer programming model is proposed to formulate the decision making process of partner selection. The objective is to reduce the risk of project failure and to minimize the overall project cost and the tardiness penalty. An optimal combination of partners could be found for all sub-projects. An ant colony algorithm is proposed to solve the partner selection model. The numeric test results showed that the proposed model, together with its ant colony algorithm, is effective in selecting partners for CoPS projects.
Keywords :
integer programming; production management; project management; ant colony algorithm; complex product system project; multiobjective integer programming; partner selection problem; project cost; tardiness penalty; Ant colony optimization; Cost function; Decision making; Electric breakdown; Large-scale systems; Linear programming; Production systems; Project management; Subcontracting; Testing; Complex product system; ant colony algorithm; multi-objective optimization; partner selection;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
DOI :
10.1109/IEEM.2009.5373080
