Research On Production Cycle Balancing And Logistics Optimization Of Manufacturing Enterprise

With the process of economic globalization stepping up, the competition increasingly hastens. The level of manufacturing enterprise has been a crisis of enterprise to react promptly and efficiently to changes in environmental and marketing condition, and to participate in keen market competitions. While the production of an enterprise is governed by its production cycle balancing, and it is the best approach solving problem that manufacturing enterprise face. Line Balancing Module is responsible for production line balancing based on the detailed order. Many enterprises don't fully understand production cycle balancing. Many problems appear in the production tache of the enterprise, and the production process is in chaos, which is concretely showed in the traditional mechanical.Production cycle balancing is responsible for Make-To-Order production line balancing. So, it is very important for the industry to establish effective production plan and control system so as to adapt to market requirement and to improve its competent ability. Just in these backgrounds, the production process of Hefei Automobile Axle Group Co., Ltd is considered as the research object and it's optimized from the point of logistics. Logistics, especially production logistics, of the enterprise is analyzed and optimized from five kinds of methods of production cycle balancing. The logistics simulation software, WITNESS is applied in the simulation and optimization of the models of production lines. The optimization process is as following: The factual production condition of the enterprise is simulated. And through the analysis of the simulation results, many shortages and problems are found. Then, according to the factual conditions of the enterprise and the problems, all kinds of production cycle balancing schemes are put up with .Finally, every innovative scheme is simulated. On the base of comparative analysis among the different schemes, the best scheme is decided so that the optimization aim is reached.