Optimum Decision Making System For Railway Freight Car Approving & Related Issues Study

The optimization of Railway Freight Car Approving is a complicated problem. Along with the proceeding of railway transportation marketing and railway administration reform, the dispatcher office of railway bureau is not only playing an important role in representation of state's macro economical policy and promote economical prosperity in local area, but also a key role in strengthening local transport organization and improving transportation revenue, thus it needs a higher level of diary freight dispatching. It is an important and basic element to apply intelligent computer aided decision making tool to improve the freight car approving of freight dispatching in the process of railway bureau dispatcher office modernization, thus it possesses a great significance in theory and application. The paper studies the freight car approving plan in railway freight dispatching, puts forward the optimum model and the corresponding algorithm, brings out the computer software system, and applies it to a railway bureau successfully.Firstly, the paper discusses the current situation of railway car approving, introduces the problem and the significance of research. Meanwhile the paper talks about basics of information theory and the general techniques and methodology in developing MIS.Then, the paper makes a deep analysis in railway car approving. It introduces manual way of making freight plan, and talks a lot about the way of railway revenue clearance. The 12 groups of constraints in railway car approving have also been analyzed respectively. With consideration of practical railway bureau dispatching work, the author designs five target functions, they are maximum railway revenue, maximum clearance revenue, pre-order, back-order and random respectively. With the combination of precedence and four approving policies (concentration, half distribution, 1/3 distribution, 1/4 distribution), it makes a significant enhance in practical application, and based on above, the paper puts forward the optimum model for railway car approving. Since the problem is so hard to find the solution, an effective heuristic algorithm is designed to tackle it.As a complementary thing of diary railway car approving plan, the 6 o'clock morning adjusted plan has its own specialty. The paper analyzes the concerning factors in 6 o'clock morning adjusted plan, puts forward the constraints and target function, gets the optimum model and designs the corresponding algorithm.The railway car approving system also requires the supporting modules such as car routing module, statistical module, user authorization logic module, freight law and regulation management module. The paper puts forward the optimum models for car routing plan making and its application, designs the algorithm, thus solves the routing problem for railway car approving effectively. Meanwhile the statistic module has been designed on the basis of practical requirement, it fulfils the car-type, destination and cargo-type statistics for each station, freight dispatching scope. In terms of user authorization logic the author puts forward the authorization tree, inheritance-down and inheritance-up concepts, they fits the information network authorization management well in units and organizations.In the discussion of automatic management of freight laws and regulations, the paper introduces the general text search and fuzzy search, including the correlation search based on meaning cluster, the correlation search based on Boolean algebra and maximum correlation inquiry, it has to be mentioned that the maximum correlation inquiry has a sound theory basis and bright perspectives of application.Finally, the paper talks about its application in practice, by comparison of a month data, it concludes that the optimization is effective. With two years practice the system runs smoothly, it illustrates that the system brings about both good social benefits and considerable economical results.