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Research on Model and Optimization of Production Scheduling for Copper Sheet and Strip Oriented MES

Author: YuanXiLian
Tutor: LiuYong
School: Henan University of Science and Technology
Course: Computer Software and Theory
Keywords: Copper plates and strips Production scheduling Modeling Object-oriented Genetic Simulated Annealing Algorithm
CLC: TP391.7
Type: Master's thesis
Year: 2009
Downloads: 40
Quote: 0
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Abstract


Copper belt processing industry is a capital and technology-intensive industries. Liquidity occupied the production process, raw material costs and equipment depreciation costs account for a large proportion of investment in fixed assets high. An effective production scheduling method can achieve rational use of resources of the enterprise, reduce production costs. Production scheduling modeling and model optimization are two important parts of the production scheduling research, production scheduling modeling with the abstract model of language accurately describe the behavioral characteristics and variation of production scheduling model optimization is to solve or improve the model the problems involved in the process. Based on the object-oriented Petri net modeling principles and methods of research, combined with copper production and processing characteristics, given using OOHOPN establish the production process model for MES copper belt. Based idea of ??OOHOPN modeling, bottom-up modeling, the first model the various stages of production class and the class model of the various stages through messaging coupled into a copper plate with the production process overall OOHOPN of model. By analysis model OOHOPN, this paper a multi-objective judgment, the establishment of an evaluation program on the impact of decision-making objectives copper belt production scheduling mathematical model, the model can achieve coordinated growth of production scheduling a number of performance indicators, in line with the production requirements of the modern enterprise . Choice of scheduling rules in the copper belt in MES production scheduling model is the main problem of model optimization, in order to solve the multi-program selection, In this paper, based on the analysis of genetic algorithms and simulated annealing algorithm theory, genetic simulated annealing algorithm to solve in MES copper plate with production scheduling rule selection problem. In this algorithm, the diversity of individuals in a population, genetic algorithm crossover and mutation operation is complete, the use of simulated annealing algorithm is thought to be eliminated individual second screening, the method can not only overcome the prematurity of genetic algorithm, convergence is difficult to control can solve the problem of slow convergence of the simulated annealing algorithm. Copper plate with a production scheduling model and optimization algorithm research based on the copper plate with a production scheduling simulation example, in accordance with the idea of ??software engineering and Visual C development technology. Simulation results show that the proposed scheduling method can reduce the production time, improve the utilization of production equipment, reduce production costs.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Machine-assisted technology
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