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Research on Model and Optimization of Production Planning and Scheduling Based on Iron and Steel Process Knowledge Network System

Author: JiangGuoZuo
Tutor: KongJianYi
School: Wuhan University of Science and Technology
Course: Mechanical Design and Theory
Keywords: production planning and scheduling optimization model genetic algorithm production process of iron & steel enterprise MATLAB simulation
CLC: TF087
Type: PhD thesis
Year: 2006
Downloads: 1214
Quote: 6
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Abstract


In recent years, Chinese iron and steel industry has obtained considerable development. With the restraining of surplus production, limited resource and insufficient transportation ability and, manufacturing enterprise needs dynamic, timely, ordered and integrated production strategy of production planning and scheduling urgently in order to realize improvement of the technological structure of iron and steel enterprise, advancement of product structure and increase of the production efficiency. Therefore,it’s necessary to pay high attention to production planning and scheduling of enterprises.On the basis of analyzing current status and development trend of production planning and scheduling, hybrid production process of the iron and steel enterprise as subject, using theory and technology of operations research, modern production management, system engineering, industrial engineering, control theory, artificial intelligence and computer science ,drawing, implement and feedback of production planning and existing problems of key and typical iron and steel enterprise is analyzed, production planning and scheduling model based on ISPKN is built. The main research works are as following:From the aspect of system theory and dissipative theory, various production process of iron and steel enterprise are studied systemically, and then development trend and integrated planning and management of iron and steel production process are discussed. The concept of product line and combined planning of product of iron and steel enterprise are proposed, and then product line biggest profit stream model of product combination productive plan in the iron and steel enterprise based on information and the data of requirement prediction, selling price, production cost, and productivity and so on is established by using network stream optimization method, genetic algorithm and standard toolbox function of Matlab7.0. Taking product lines of some iron and steel plant as the background, aggregate production plan model of the product line by using combination optimization method of the contract type and predicting type method is studied, the result is accord with practical production, the speed of calculation and solution and convergence of genetic algorithm is better.For product planning and scheduling of continual procedure, the hierarchy time-sharing schedule scheme was used in this paper. For iron-making procedure, product planning model of blast furnace is built. For steel-making procedure, the steel-making superiorly to go into production the date productive plan model is established. For steel-rolling procedure, the distribution plan of the steel-rolling flow production contract model and optimizations productive plan model of the rolling product two processes are set up. Above models are studied by making using of genetic algorithm, optimal goal function value is got. The production scheduling model of hybrid procedure with two-stage and the production planning model of hybrid procedure with buffering area are established considering the restrains of material and production technology and goal of finishing the production task within shortest time in hybrid production. Taking practical production of iron and steel enterprise as an example, a production planning and scheduling model of hybrid procedure involving steel-making-hot rolling-cold rolling is established. The model is on the basis of cold-rolled production planning model, its goal function is the least earliness/tardiness penalty fee .Solution to model and instance simulation are carried on by using genetic algorithm with hybrid genetic operator, the results shows that the feasibility of the model and validity of the algorithm.The production planning of the dynamic system of iron and steel production procedure is analyzed, and multi-stage process planning model is set up, then models and performance evaluation index of multi-agent system of the whole optimal process of iron and steel production are put forward. Knowledge network system of production procedure of iron and steel enterprise is proposed and defined , composition and frame of knowledge network system of production procedure of iron and steel enterprise are analyzed, a prototype systems is developed by making use of some technologies such as JSP and database system, etc.According to the real steel procedure process , ideal production scheduling model is established according to production plan and performance parameter of every mechanism set . Simulation test has proves that the algorithm put forward in the paper is rational and effectual, effective production planning and scheduling of enterprise is realized, the result is better.

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CLC: > Industrial Technology > Metallurgical Industry > General issues > Metallurgical plant > Production and technology management
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