Every company and institution faces the necessity to manage its inventory. For high accuracy, security and easy operation of inventory management system it is necessary to have an easily recognizable identifier on all managed objects. The aim of our present project is to modernize the methods of automatic inventory management and asset protection with the help of the application of radio frequency identification technology (RFlD hereinafter) to automatically identify the occurrence of marked objects. During the solutions we have to deal with many obstacles such as the bindings of data flowing from RFID system with internal information systems of asset owner companies.Appropriate choice of tags for individual subjects, their testing and readability experiments also have to be done. Another important part of the solution, that has to be developed in the project, is the system of reading gates. The gates are integrated in the door frames to allow automated identification of the objects brought in and out of the selected room. By modifying of mentioned solution we also introduce the design of a gatehouse that is able to prevent theft or unauthorized take away of material and equipment. In contrast, when the permitted items are taken away the system can easily generate the necessary forms to manage status of selected objects, decreasing the administrative burden. The result of the project is a solution consisting of information system and described hardware components for inventory management. The information system is possible to integrate with corporate ERP information systems.The pilot project was implemented and tested at VSB laboratories and we suppose deployment of the system in close future in cooperation with TINT Ltd. Company.
The paper deals with fault tolerant information systems in raw material industry. Database is a heart of every information (control) system. To store the system in the category of fault tolerant (or disaster tolerant) systems, the goal is to solve the database continuity. Current database systems offer technology for online data mirroring. The paper brings details about solution of database mirroring using Microsoft SQL Server, with practical experiences on real projects.
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