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On the Production Planning and Scheduling Optimization for Integrated Steel Production

Author: ZuoChunYue
Tutor: WangChengEn
School: Northeastern University
Course: Systems Engineering
Keywords: Integrated iron and steel production Planning and Scheduling Multi-objective Thermal loading ratio Cross- rolling Simulation
CLC: F273;F224
Type: PhD thesis
Year: 2009
Downloads: 701
Quote: 1
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Abstract

Iron and steel industry is a pillar industry in the national economy plays an important role. In order to achieve the purpose of energy saving, since the 1980s, the widespread adoption of foreign steel companies began to billet hot charging technology, is committed to developing steelmaking - continuous casting - hot - body production. Integrated production complex process, continuous casting and hot rolling close convergence between logistics, production planning and logistics management is difficult, for steelmaking, continuous casting, hot rolling three integrated production process planning and scheduling problems, is one of iron and steel enterprises production management core. This paper reviews the characteristics of iron and steel enterprises and the production of integrated production planning and scheduling of the status quo, on this basis, to a domestic iron and steel enterprises integrated production lines for the study of plate background, focus on \, respectively, in contract planning, production planning and batch job scheduling (scheduling) on ??three levels, focus on the four specific integrated steel production planning and scheduling optimization problem: integrated production contract plans, continuous casting and hot rolling production program coordination optimization, scheduling and rolled slab thermal loading scheduling problem. Integrated production contract plan optimization problem. The steelmaking - continuous casting - Hot integrated production process of hot-rolled steel is divided into two stages of processing to the slab than the maximum thermal loading, delivery earliness / tardiness rate and the minimum rate set for the wood stove I optimization goal, considering the hot-rolled steel production capacity, as well as steel, slabs and finished product specification and other constraints, the establishment of multi-objective optimization model of production contracts were single-objective optimization and multi-objective optimization method to solve it. Weighted method, the integrated production contract plan multi-objective optimization problem into a single objective problem, double-chromosome genetic algorithm is designed to solve, the calculation results show that the model is rationality and effectiveness of the algorithm. Improved use of non-dominated sorting genetic algorithm NSGA-Ⅱ (Non-dominated Sorting Genetic Algorithm-Ⅱ), integrated steel production contract plan for solving multi-objective optimization problem. On NSGA-Ⅱ algorithm improved method is a variation of the target space coincides with the individual, as well as an increase in the number of each generation of new individuals. Standard multi-objective mathematical test problems, multi-objective knapsack problem and production planning problems contract results show that the improved NSGA-Ⅱ algorithm with Pareto, with a high relative coverage, improvement of the algorithm proved to be effective. Plate hot rolling production scheduling problem. In order to maximize mill utilization optimization objectives, were investigated with the specifications of the slab cross rolling scheduling problems and different specifications slab cross rolling scheduling problem. Analysis of the cross-rolling process characteristics, summarized cross rolling three modes: uniform crossover rolling mode, symmetrical cross-rolling mode and group cross-rolling mode, and gives these three cross pattern is characterized by rolling, viable conditions, the optimum time interval and the open rolling mill utilization formulas. Consider the roller length constraint, the calculation formula of the relevant parameters were adjusted with the specifications given in a cross-rolling slab production scheduling heuristics. The results illustrate that the heuristic method is superior to the existing heuristics. Different specifications slab cross rolling scheduling problem, there is a precedence constraint, latency and buffering capacity limited single machine scheduling problem. With AON (Activity-On-Node) network to describe the problem, proposed and proved for the single machine scheduling problem AON network balance theorem, according to balance theorem, established a nonlinear constrained optimization model. The design of a neighborhood search algorithm, the nonlinear constrained problem into an available standard software for solving linear constraints. The results show that the neighborhood search algorithm can find a better way than the heuristic scheduling scheme. Slab thermal loading scheduling problem. Between the continuous casting and hot rolling the slab thermal loading logistics complex, difficult to use mathematical programming methods to determine the thermal loading each slab way, incoming / outgoing furnace sequence and time. In this paper, simulation-based methods, the development and use of logistics simulation system to determine the thermal loading each slab way to develop the slab out / storage plans and programs for each heating furnace. Casting - hot rolling production planning coordination optimization problem. With \Simulation results show that the proposed continuous casting - hot rolling production planning coordination optimization method is feasible, the adjusted plan rolled plans and casting, thermal loading ratio increased. Based on the above, this paper developed an integrated production planning and scheduling system and slab logistics simulation system to verify the proposed model and algorithm optimization.

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