Title :
Coordination Strategy for Production Planning in Supply Chain Based on Lagrange Relaxation Algorithm
Author :
Zhang, Cuihua ; Chang, Guangshu ; Fan, Yan ; Yu, Haibin
Abstract :
To solve the coordination problem of multi-enterprises supply chain production planning, a coordination and optimization strategy of distributed decision-making based on Lagrange relaxation algorithm is presented. By relaxing the material flow balance constraints among enterprises with the internal price, i.e. Lagrange multipliers, the whole supply chain production planning problem is decomposed into multiple single enterprise production planning sub problems, each of which can make its own production plan through local information. Through iterative update of the internal price for each kind of products provided by enterprises, the supply chain could be coordinated and the nearest optimal solution can be achieved. The simulation experiments show that the method can better solve the multi-enterprise supply chain production planning problem
Keywords :
distributed decision making; optimisation; production planning; supply chains; Lagrange relaxation algorithm; distributed decision-making; material flow balance constraints; multienterprise supply chain production planning problem; Computational modeling; Cost function; Decision making; Distributed decision making; Lagrangian functions; Production planning; Production systems; Raw materials; Supply chain management; Supply chains; Coordination; Distributed decision-making; Lagrange relaxation algorithm; Production planning; Supply chain;
Conference_Titel :
Services Computing, 2006. APSCC '06. IEEE Asia-Pacific Conference on
Conference_Location :
Guangzhou, Guangdong
Print_ISBN :
0-7695-2751-5
DOI :
10.1109/APSCC.2006.40