Research of the method for the order planning of the iron-steel factory based on the MTO management architecture

Analyzing the common grounds and the different aspects between the iron-steel industry and the mechanical manufacture industry, this paper constructs the architecture of MTO planning management system for the iron-steel factory, combining the market’s demand with the specialties of the iron-steel industry. Supported by this architecture, this paper analyzes the technologic characters of the steel manufacture and presents the mathematics models and solution strategy for order planning. Regarding the five-day as the least time unit and minimizing the earliness-tardiness penalties as the goal, an integer programming models for the order planning is created. The genetic algorithm based on the repeatable natural number coding and 3-mutation operator is used as the solution strategy. The search methods include the interior-point method (IPM) and the outer-point method (OPM). This hybrid search method ensures the global property of searching. At last, the order planning of a famous factory is used as the instance in the experimentation and the model parameters are analyzed. The numerical analysis shows that the model comes up to the production process, the solutions obtained by this algorithm are superior to those obtain by the human-machine system. So, the model and algorithm are valid