Steel plant rescheduling considering the balance of oxygen supply and demand under converter failure

Abstract

The intermittent production of converters in steel plants makes its oxygen demand have a large pulse characteristic, which may result in an imbalance of oxygen supply and demand when the converter failure occurs. This paper studies a steel plant rescheduling method considering the balance of oxygen supply and demand (BOSD) under converter failure. A rescheduling model under converter failure is formulated, and the cumulative deviation of oxygen supply and demand (CDOSD) is considered as an objective of production stability. An enhanced genetic algorithm (EGA) is developed to solve the model. In EGA, an improved forward decoding considering the processing state of production tasks is used. The local search is also introduced to improve the population quality. Computational results of different algorithms verify the strength and effectiveness of EGA. Moreover, the rescheduling model can reduce the CDOSD by 37.9%, which reflects the superiority and practicability of considering the BOSD in rescheduling.