Process Of Industrial Production Management System

The development of modern science provides the technique condition for the manufacturing enterprises which are confronted with more severe competition. To gain the advantage in competition, it become a pursuit for an enterprise to shorten the time to market, improve the quality, reduce the cost, provide better service. So the corporation must adopt advanced management technology to strengthen the interaction of every step of production, upgrade the production ability with the limited resources. The traditional production management ideas is mainly about dispersed manufacturing enterprise and macro-planning, lack the support in process industry and collection of rock-bottom data, and the existed information systems is short of interact and resources share which finally lead to the so called phenomena of information island, the chaos of control and the increasing of cost for an enterprise.The paper does some research for the described problem.1. Through the research of process industry and advanced production management theories such as ERP, MRP II ,JIT and MES etc, the paper presents the advanced steel management mode based on MES.2. Apply the described production management idea to process industry, construct the production management system model, and also bring out the demand analysis and the detail design.3. Adopt J2EE platform to design the multi-tie software structure of the model, use the technology of Java middleware to make the system more robust and extensible.4. Practicing the software prototype and connecting real conditions and characteristics of the enterprise, the production management system of Dalian Steel Corporation is developed. Based on the advanced management theories and modeling of planning and scheduling, thesystem software satisfies the integration of management and production, obtains the unification of flows of material, capital and information. The using of J2EE platform make the system more robust and extensible . The system realizes the optimization of planning and scheduling, shorten the cycle of production, quicken the circulation of capital, decrease cost and obtain the goal of optimal economic benefits.