Machining system is an input-output system which is based on machine tool. It can make products or semi-finished products of raw materials or semi-finished products and change their shape and form for machining manufacturing.There are some shared equipments at a workshop. The number of the shared equipments is limited, so more workers often compete for the same equipment. This is just like the critical resource scheduling for computer systems. In the computer system, the misallocation of critical resources will affect the efficiency of the entire system seriously, and the queuing and scheduling problem for shared equiqments at mechanical processing scene also have similar problems. I would like to propose a reasonable machining scheduling method, and by using Asp.Net application and SQL Server2000 database platform through B/S mode of communication patterns, developed a queuing and scheduling system for use of shared equipment at a Large-scale workshop, hoping it can resolve the scheduling problem of shared equipment, and promote production efficiency.The system is installed in computers at machining production sites, worker may apply shared equipments and view queuing status, leads can also view the history queue record list, equipment use and staff monthly table monthly statements to understand the use of equipments and the working of the staff in order to sum up the improvements. The system has a good scalability by allowing users the right to add and remove device name, although it is designed for a Large-scale workshop, also can be applied to small and medium-sized machining scenes, and even other processing industries that have the same scheduling problem for shared equipments.At the end of this dissertation, I tell how the system exceeds the traditional scheduling mode through two cases.In the end, we represent two experiments to show the advantages of our system. In addition, the system represented in this dissertation is better than the systems in other mobile phones and banks. Our system can save the labor resource and raw materials efficiently, and it can also save the cost and improve the produce efficiency.

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