Title :
Research on location of remanufacturing factory based on particle swarm optimization
Author_Institution :
Manage. Sch., Harbin Univ. of Commerce, Harbin, China
Abstract :
Focus on reverse logistics location of remanufacturing factory, a mixed integer programming model is constructed on the basis of minimum cost. Then particle swarm optimization (PSO) algorithm is introduced in the model. Discrete PSO is used to solve reverse logistics location of remanufacturing factory, and the distribution of goods is solved by traditional PSO algorithm. The optimal solution of the model is obtained by nesting discrete PSO and traditional PSO, which reduces the calculation complexity, selects the reverse logistics remanufacturing factory efficiently, and the network structure of reverse logistics is optimized. The experiment results show that the method is feasible and efficient.
Keywords :
goods distribution; integer programming; particle swarm optimisation; recycling; reverse logistics; discrete PSO algorithm; goods distribution; mixed integer programming model; network structure optimization; particle swarm optimization; remanufacturing factory location; reverse logistics location; Algorithm design and analysis; Marketing and sales; Optimization; Particle swarm optimization; Production facilities; Reverse logistics; location model; particle swarm; remanufacturing factory; reverse logistics;
Conference_Titel :
Management Science and Industrial Engineering (MSIE), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8383-9
DOI :
10.1109/MSIE.2011.5707588