Title :
An Improved Method for Integrated Planning Model of Supply Chain
Author :
Zhu, Bao-Lin ; Yu, Hai-Bin ; Huang, Xiao-Yuan
Author_Institution :
Sch. of Bus. Adm., Northeast Univ., Shenyang, China
Abstract :
Lagrangian relaxation technology is used to optimize the integrated planning model for supply chain, which is established by the factors such as price, inventory etc. To reduce the duality gap of lagrangian relaxation, an improved method with lagrangian relaxation and genetic algorithm is applied in the model. The number results prove the effectiveness of the model and algorithm.
Keywords :
planning; supply chain management; Lagrangian relaxation technology; genetic algorithm; integrated planning model; supply chain; Mathematical model; Numerical models; Planning; Production planning; Supply chain management; Supply chains;
Conference_Titel :
Management and Service Science (MASS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5325-2
Electronic_ISBN :
978-1-4244-5326-9
DOI :
10.1109/ICMSS.2010.5575790
