Model for planning problem of diaphragm caustic soda and its approach based on particle swarm optimization algorithm

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 r...

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Bibliographic Details
Main Authors: Wanliang Wang, Huixu Teng, Zheng Wang, Yanwei Zhao
Format: Conference Proceeding
Language:English
Subjects:
Capacity planning
Constraint optimization
Continuous production
diaphragm caustic soda
Manufacturing processes
Mathematical model
Mathematics
Particle swarm optimization
particle swarm optimization algorithm
PDCS
planning problem
Process planning
Production planning
Virtual manufacturing
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Summary: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.
DOI:10.1109/CSCWD.2009.4968034