Development Of Production Management Information System For Printing And Dyeing Enterprises And Research On Scheduling Problems

With the advancement of science and technology,automatic control gradually develops toward the direction of complex network control.At this time,as a control designer only solves the underlying real-time control problems,it can no longer meet the needs of the society,but also needs to be able to control technology and information technology and advanced The integration of scientific algorithms solves complex control problems such as enterprise production scheduling.As a traditional labor-intensive enterprise in China,the printing and dyeing industry has a large number of production workshops and a variety of product types.This type of company conducts research on the production management information system and the control of production scheduling,and improves the production efficiency and decision-making scientifically.Sex and enhancing the company's core competitiveness are of great significance.Therefore,this paper studies the production and management informatization construction of a printing and dyeing enterprise,and finally realizes a production management information system with production scheduling decision support.First of all,this paper conducts a survey and analysis of the actual situation of the printing and dyeing companies and the needs of users,and determines the main business processes and main goals of the system.Based on this,the main functions of the system were designed.Secondly,this paper studies the problem of dyeing and evacuation in the production of printing and dyeing companies,analyzes the characteristics of the dyeing production of the printing and dyeing companies,establishes the model of dyeing tank scheduling under the constraints of orders and production equipment,and chooses to improve the particle swarm optimization algorithm.The model is solved.Compared with the results of artificial dyeing process,the results show that the method of dyeing and evacuation studied in this paper can provide decision support function for the reasonable arrangement of enterprise dyeing tank scheduling.Thirdly,this paper studies the scheduling optimization of printing production in the printing industry.The paper firstly establishes the mathematical model of the production scheduling with the constraints of the production sequence according to the characteristics of the production sequence before and after the printing process,and tries to use the genetic algorithm to solve the printing production scheduling model.Finally,it compares with the actual printing production scheduling example of the enterprise.It is proved that the mathematical model and genetic algorithm can provide efficient production decision support for the enterprise's printing production scheduling.In addition,this article also describes the design and implementation of system software.First of all,the software design idea is expatiated,and the software's operating architecture,logical structure,database architecture and development architecture design are completed.Then choose C# as the front desk development language,Matlab as the intelligent algorithm development language,use ASP.NET technology framework and Microsoft SQL SERVER as the database management system,complete the system software development under the guidance of the standardized programming ideas and principles,and select the representative Sexual development examples detailed analysis of the system software design and implementation of the key and difficult points.Finally,this paper tests the system from three aspects: system function,compatibility and performance.The test results show that the system can achieve the expected functional requirements.