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Development of BOM Management and Research of Job Shop Scheduling for Manufacturing Enterprise

Author: TangWenTian
Tutor: JiaZhenYuan
School: Dalian University of Technology
Course: Industrial Engineering
Keywords: Single Small BOM management Shop scheduling Genetic Algorithms To-order
CLC: F273
Type: Master's thesis
Year: 2008
Downloads: 272
Quote: 0
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Abstract


With China's accession to the WTO and economic globalization, foreign technology, capital, products influx of China's manufacturing industry is facing a huge domestic market and a more open international market, is becoming the manufacturing center of the world. Face of such fierce competition in the market of international and domestic manufacturing enterprise through information management to promote enterprise management change, improve core competitiveness, is to determine the key to survival and development of China's manufacturing enterprises. Manufacturing, BOM is the basis of data of the core product digital definition, is a bridge connecting the enterprise product engineering and production and operation management, the accuracy of its data with real-time degrees will directly affect the implementation of the overall effect of the information system, and the process of enterprise information. Job Shop Scheduling is the core of the information systems of production management, shop scheduling system to run level of efficiency as well as its own rationality, practicality, ability to obtain a business high economic benefits, plays a very important role. In this paper, a reducer enterprise production management system development and application of practical project background, the main research work and the results of the following aspects: (1) enterprises in-depth research, analysis and the establishment of the BOM for production management needs management system model. Microsoft VB.NET and SQL Sever2000, application development and database development tools, combined with the specific characteristics of the corporate the BOM management subsystem design and development. The subsystem and rights management subsystem integration has been completed and a trial run in the enterprise. (2) reality, information systems, simplified role-based access control model on the basis of the actual needs of the analysis of rights management system. Rights management system on the basis of this model, by rights allocation mechanism based on the function tree, design and development work. The subsystem that the operator can set the role of information easy and intuitive, and fully take into account the expansion of demand after the system's functionality. (3) In view of the problem of premature convergence of traditional genetic algorithm and local search capability is not strong, the improved genetic algorithm (AGA), the main features of the algorithm using POX crossover operator and adaptive evolution structure. The algorithm is applied the JSSP shop scheduling problem, and its verified FT10 example. The experimental results show that the algorithm overcomes the shortcomings of traditional genetic algorithm, with strong search capabilities. (4) The proposed order scheduling problem, the establishment of a mathematical model of the problem, and improved genetic algorithm based on the re-design of the crossover and mutation operator proposed for orders crossover operator (OBX) , mutation operator sub (OBM), the final design of the class simulation examples and the algorithm is verified. The test results show that: the proposed order-oriented operator and algorithm structure, and improve the global search ability of the algorithm, suitable for orders scheduling problem. BOM management subsystem and rights management subsystem integration applications, is the basis and guarantee smooth implementation of this article Institute of relying on the production management system. In this paper, the improved genetic algorithm proposed and order scheduling problem, the optimization of the genetic algorithm and the rich shop scheduling problem has certain theoretical significance and practical value.

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CLC: > Economic > Economic planning and management > Enterprise economy > Production management
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