August 28 - September 2, 2011, Milano, Italy
  

IFAC WC 2011 Paper Abstract

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Paper WeC13.6

Yu, Shengping (Northeastern University), Chai, Tianyou (Northeastern Univ), Wang, Hong (the University of Manchester), pang, xinfu (Northeastern University,Shenyang,P.R.China), zheng, binglin (Northeastern University)

Dynamic Optimal Scheduling Method and Its Application for Converter Fault in Steelmaking and Continuous Casting Production Process

Scheduled for presentation during the Regular Session "Scheduling III" (WeC13), Wednesday, August 31, 2011, 17:40−18:00, Card. Ferrari

18th IFAC World Congress, August 28 - September 2, 2011, Milano, Italy

This information is tentative and subject to change. Compiled on December 10, 2019

Keywords Production planning and control, Modeling of manufacturing operations, Decision support systems in manufacturing

Abstract

In steelmaking and continuous casting (SMCC) production process, converter fault can lead to unexpected changes to the pre-specified converter-continuous caster production mode so that the original scheduling plan becomes unrealizable. In this paper, the dynamic scheduling problem in response to converter fault is firstly analyzed. This is then followed by the establishment of a novel multi-objective nonlinear programming model (MONPM) by introducing the production mode parameter α, production schedule parameter β and χ. The proposed method considers changes in production mode, production schedule of charge, the interval characteristics of processing time. In specific, a two-stage dynamic optimal scheduling method is proposed including the production path planning of charges (PPP) and the production time scheduling (PTS). As a result, a dynamic optimal scheduling software system (DOSSS) is developed and is successfully applied to the scheduling of the largest iron and steel company (BaoSteel) in China. The real-time application shows that the proposed method can efficiently reduce scheduling time, significantly increase the outputs of converters and dramatically shorten the redundant waiting time for molten steel.

 

 

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