OPTIMISING STEEL PRODUCTION SCHEDULES VIA A HIERARCHICAL GENETIC ALGORITHM

Authors

  • Kiatkajohn Worapradya

DOI:

https://doi.org/10.7166/25-2-874

Keywords:

Production Scheduling, Optimization, Hierarchical Genetic Algorithm, Steel Making, Continuous Casting

Abstract

This paper presents an effective scheduling in a steel-making continuous casting (SCC) plant. The main contribution of this paper is the formulation of a new optimisation model that more closely represents real-world situations, and a hierarchical genetic algorithm (HGA) tailored particularly for searching for an optimal SCC schedule. The optimisation model is developed by integrating two main planning phases of traditional scheduling: (1) planning cast sequence, and (2) scheduling of steel-making and timing of all jobs. A novel procedure is given for genetic algorithm (GA) chromosome coding that maps Gantt chart and hierarchical chromosomes. The performance of the proposed methodology is illustrated and compared with a two-phase traditional scheduling and a standard GA toolbox. Both qualitative and quantitative performance measures are investigated. 

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Published

2014-08-18

How to Cite

Worapradya, K. (2014). OPTIMISING STEEL PRODUCTION SCHEDULES VIA A HIERARCHICAL GENETIC ALGORITHM. The South African Journal of Industrial Engineering, 25(2), 209–221. https://doi.org/10.7166/25-2-874

Issue

Vol. 25 No. 2 (2014)

Section

Case Studies

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