Title :
Multi-objective mathematic programming model and algorithm for production planning in steel and iron enterprise
Author :
Lu Shan ; Su Hong-ye ; Zhu Li ; Shen Qinghong
Author_Institution :
Nat. Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Abstract :
As iron and steel products demand becomes increasingly diversified and batch reduced, make-to-order production has gradually satisfied the demand of modern iron and steel enterprises. It is significant for optimization of the make-to-order production planning to guarantee punctual delivery considering inventory, production capacity, processes and product specification. A multi-objective mixed integer nonlinear programming (MINLP) model is formulated to optimize the production, and a hybrid particle swarm optimization algorithm is developed to solve the model. A case study based on the order data of a steel and iron enterprise is presented. Compared with the optimization strategy upon particle swarm optimization and manual scheduling, the proposed optimization model and strategy effectively reduce losses caused by back order, inventory storage and unbalanced production capacity, and provide a reference and guidance for the operation.
Keywords :
integer programming; inventory management; iron; nonlinear programming; particle swarm optimisation; production planning; steel industry; MINLP; hybrid particle swarm optimization algorithm; inventory storage; iron enterprise; make-to-order production planning; multiobjective mathematic programming; multiobjective mixed integer nonlinear programming; product specification; production capacity; punctual delivery; steel enterprise; Iron; Optimization; Particle swarm optimization; Production planning; Programming; Steel; Hybrid Particle Swarm Optimization; Mathematic Programming; Multi-object; Production Planning; Steel and Iron Enterprise;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an