面向一体化生产的板坯入出库管理优化研究与应用

发布时间：2018-04-04 13:10

本文选题：一体化计划　切入点：板坯入库　出处：《哈尔滨工业大学》2017年硕士论文

【摘要】：板坯库是钢铁生产流程中重要的物流节点之一,它既是炼钢工序的成品库,又是热轧轧制工序的原料库,对上下游工序的生产具有重要的影响。板坯库内垛位和板坯数量繁多,板坯的属性、状态均较为复杂,如果单纯依靠人工指派入库垛位和进行出库优化,效率较低,且受到人工思维的局限性限制。本文对面向上下游生产的板坯入库、出库的优化管理进行研究,对关键问题进行分析和抽象,为关键的入库和出库问题建立了数学模型,并选中恰当的算法进行求解,并在此基础上开发了板坯入出库管理系统。本文在研究国内外板坯库入出库管理先进技术的基础上,深入剖析了钢铁一体化生产约束条件下,板坯库入出库管理的重要作用,并针对板坯库现状进行了分析,明确了板坯库入出库管理优化内容,建立了板坯库生产物流总体模型。并基于保障一体化生产节奏,减少倒垛量的目标,为板坯入库和板坯出库优化分别建立了数学模型。针对板坯入库,本文为影响匹配度的各指标以参数的形式设置权重值,针对需入库的板坯组,在生产规程的限定范围内,以匹配度之和最高为目标建立了板坯入库模型。针对板坯出库,本文调换轧制计划内的板坯顺序,以调换后的板坯在满足轧制规程的约束条件下倒垛次数最少为目标,建立了板坯出库模型。针对板坯入库模型,本文基于解决装箱算法的经典启发式算法Best-Fit算法,结合板坯生产阶段连续性的特点,设计了Continual Best-Fit(CBF)算法,已达到优化求解的同时减少算法运算次数的目的。针对板坯出库模型,本文设计了带惯性权重的离散性粒子群优化算法。最后用实验数据对模型和算法的有效性进行了验证。基于模型和算法,开发了板坯入出库管理模块,既能够验证模型和算法,又能够作为实际应用系统,在板坯库管理中使用。最后介绍了系统的主要界面和操作流程。
[Abstract]:Slab warehouse is one of the important logistics nodes in steel production process. It is not only the finished product bank of steelmaking process, but also the raw material bank of hot rolling process, which has an important influence on the production of upstream and downstream processes.There are many stacking positions and slabs in the slab storehouse, and the properties and states of the slabs are all complicated. If we simply rely on the manual assignment of the stacking position and the optimization of the exiting storehouse, the efficiency is low, and it is limited by the limitation of artificial thinking.In this paper, the optimal management of slab input and exit for upstream and downstream production is studied, the key problems are analyzed and abstracted, the mathematical model is established for the key input and exit problems, and the appropriate algorithm is selected to solve the problem.On the basis of this, the management system of billet entry and exit is developed.On the basis of studying the advanced technology of inputting and exiting the slab storehouse at home and abroad, this paper deeply analyzes the important function of the inputting and exiting management of the slab storehouse under the constraint condition of the iron and steel integrated production, and analyzes the present situation of the slab storehouse.The optimization contents of the management of the slab storehouse in and out of the warehouse are clarified, and the overall production logistics model of the slab storehouse is established.Based on the goal of ensuring the integrated production rhythm and reducing the stacking capacity, the mathematical models are established for the slab storage and the slab exit optimization respectively.Aiming at slab storage, this paper sets up the weight value in the form of parameters for each index that affects the matching degree. For the slab group that needs to be stored in the storehouse, the model of slab storage is established in the limited range of production rules, with the maximum matching degree as the goal.In this paper, the order of slab in rolling plan is changed in order to reduce the number of stacking times under the constraint of rolling schedule, and the model of slab out of storage is established in this paper.In this paper, based on the classical heuristic algorithm, Best-Fit algorithm, which solves the packing algorithm, and considering the characteristics of the continuity of slab production stage, the Continual Best-Fitn CBF algorithm is designed, which has achieved the purpose of optimizing the solution and reducing the operation times of the algorithm.In this paper, a discrete particle swarm optimization algorithm with inertial weight is designed for slab exit model.Finally, the validity of the model and algorithm is verified by experimental data.Based on the model and algorithm, the module is developed, which not only can verify the model and algorithm, but also can be used as a practical application system in slab library management.Finally, the main interface and operation flow of the system are introduced.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F426.31;F252;F274

【参考文献】