Research On Inventory Algorithm And Intelligent Ordering System For Warehouse

With the rapid development of economy globalization in recent years,the keen competition among enterprise made more demand of enterprise scientific management. Now the cost of production and the cost of sale in enterprise can't be reduce greatly. So cutting the inventory cost becomes the purpose of enterprise management. Inventory management plays a more and more important role in enterprise management. Lessening the inventory cost has been "the third source of profit" by which enterprise can earn enormous economic benefit.The total of inventory assets is a fairly large proportion (about 30%) of the total assets of an enterprise. The economic benefit is very considerable for an enterprise if it has a little percentage thrift of inventory by management. So it is important that management inventory scientifically and determining the quantity of stock the time to order and the order quantity.At present there are a lot of popular information management system about inventory management in the domestic software market, for example all kinds of stock and sale management system , MRPII system, ERP, inventory management system, accounting management system etc. However, most of these systems are for operation or for finance. These inventory management systems do works only functionally, i.e. these systems simulate information transaction and operation of the enterprise's inventory and don't carry out the real order of inventory management, which provides the users which the function of intelligent ordering support.This paper discusses the design outline and implement process of the Intelligent Ordering System For Warehouse. The system is a sub-system of the Logistics Information Management System for FAW Warehouse Center. The paper also shows the works of studying theory about the design and development of the Intelligent Ordering System For Warehouse ,which involves Management ,Operations Research, Statistics and Computer technology etc.To build and applied the Intelligent Ordering System For Warehouse, the paper shows the background and the purpose of developing the system, and review the history and the present studied situation of inventory problem. So we elucidate the necessity and the widely applicability the paper lucubrates the problem of business inventory management, and discusses the various factors affecting the inventory. They are all kinds of costs (e.g. Preparing Cost, Holding Cost, Shortage Cost etc.), prices (e.g. Stock Price, Sale Price), demand and other factors etc. The demand is one of the most important influencing inventory. We illuminate emphatically three abstract methods of the demand, which simplify the demand at different degree. As inventory has enormous items (thousands to tens of thousands), it is unnecessary that decision-maker makes decision about each items. We analyze the inventory by ABC classification method in the paper. So the items are classified according to the importance of items. The important items must be made decision and managed emphatically, and the unimportant ones only need to be controlled simply. In addition, the common order policies of inventory items are presented.Inventory model is one of the key technologies for building the Intelligent Ordering System For Warehouse. F.Harris made the first inventory model in 1915. From them on, experts and scholars all over the world who engage in studying inventory model have set up many good inventory models. We discuss some common inventory models the are divided into the definite models and stochastic models. They are the classical model is inventory models and abstract models. They are the classical model of inventory models and abstract inventory problem at different degree. Different factors are considered. That which item each model is suitable for needs to be decided artificially by circumstance of each model. By reason of the requirement of the fact and the complexity of the problem, there are a lot of difficulties to be solved further about inventory model, for example the problem of multilevel stock...