Title :
Model for planning problem of diaphragm caustic soda and its approach based on particle swarm optimization algorithm
Author :
Wang, Wanliang ; Teng, Huixu ; Wang, Zheng ; Zhao, Yanwei
Author_Institution :
Software Coll., Zhejiang Univ. of Technol., Hangzhou
Abstract :
A multi-stage, multi-product, multi-constraint, and mixed continuous/batch plants planning problem is abstracted from production of diaphragm caustic soda, and the problem is formulated as a mathematic optimization model based on the objective to maximize the total profit with constraints involved resources, work manufacture processes and production capacity etc. An approach based on particle swarm optimization algorithm (PSO) with proportion-coding and dynamic-bounds coding scheme (PDCS) is proposed for the model. The validity and flexibility of the model and algorithm are verified by calculating the data from a real-world application.
Keywords :
particle swarm optimisation; production planning; batch plants planning problem; diaphragm caustic soda; dynamic-bounds coding scheme; mathematic optimization model; mixed continuous planning problem; multi-constraint planning problem; multi-product planning problem; multi-stage planning problem; particle swarm optimization; proportion-coding scheme; Capacity planning; Constraint optimization; Continuous production; Manufacturing processes; Mathematical model; Mathematics; Particle swarm optimization; Process planning; Production planning; Virtual manufacturing; PDCS; diaphragm caustic soda; particle swarm optimization algorithm; planning problem;
Conference_Titel :
Computer Supported Cooperative Work in Design, 2009. CSCWD 2009. 13th International Conference on
Conference_Location :
Santiago
Print_ISBN :
978-1-4244-3534-0
Electronic_ISBN :
978-1-4244-3535-7
DOI :
10.1109/CSCWD.2009.4968034
