by studying steelmaking-casting-rolling production process, a mathematical model of integrated batch planning is established innovatively to minimize processing costs of whole line and computed by an intelligent optimization ant algorithm. On the premise of utilizing and coordinating capacity of steelmaking and rolling, the mathematical model of integrated batch planning can create integrated batch planning to combine steelmaking-casting-rolling closely according to each process constraint conditions and optimization objective. Furthermore, another mathematical model of job scheduling based on heat process model is proposed to not only guarantee the logistics balance between continuous casting and hot rolling, but also acquire the highest ratio of DHCR and lowest energy consumption.
To organize the experts rationally and facilitate the sharing of expert knowledge, an expert knowledge map framework based on social network analysis (SNA) for ship-block scheduling is proposed. The function of expert knowledge map is analyzed, and the approaches of SNA based knowledge map building are introduced. Then, the network structure was analyzed quantitatively to find the factors that hold back the spreading and innovating of knowledge by SNA. The result indicates that SNA can offer the reliable basis on how to take strong measures to organize the experts, which can improve the expert knowledge map’s structure and the effectiveness of knowledge navigation and sharing.
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