Based On Data Mining Ship Spare Parts Management And Decision Making System Development

The rapid development of information technology and the growing popularity of the application model of intelligent management of modern enterprises, information technology, and the evolution of intelligent and Development provides a powerful guarantee. Daily activities of the Sea ship, are relatively high-risk activities, not only on the impact of the complex environment of the sea, but also on making the ship appear in the day-to-day running of the loss than usual increase, stable and reliable operation of the ship. However, it is important to protect the crew living with the most basic guarantee of safety, so during the voyage timely forecasts and found that the loss is too large is not conducive to the safe navigation of the ship spare parts is a must, but it is also important to work during the voyage.In order to ensure the implementation of the system can meet the decision-making of ship spare parts, it is required to demand for the practical application in the realization of the decision-making system based on data mining ship spare parts. The main application of the system implementation of J2EE technology is combined with rough set design and development of the application of theoretical models, and ultimately by SQL Server2005database applications to achieve the dynamic management of ship spare parts data.Abandoned the study is mainly based on the navigation of the ship’s historical loss data of spare parts, the influence of subjective factors, collate data collection of a large number of historical sailing a ship sailing spare parts using the data of the data warehouse. And then by means of the rough set theory on these historical ship spare parts for analysis and processing using the data obtained in certain circumstances, it can affect the ship spare the life of the most direct impact factors. It also can predict possible loss of spare parts under the current ship sailing conditions, the inventory of spare parts for ships sailing management provides a powerful guiding significance. Due to the particular law of the ship spare parts consumption in particular complex environment, a large number of historical ship spare parts is analyzed in the autonomy of the decision-making system of ship spare parts complete in the way of data mining. The subjective effects of human factors is become less. The actual ship spare parts optimization inventory and the practical significance of the inventory management, and application requirements are analyzed in this paper to achieve optimization of ship navigation.