| 摘要(英) |
According to improve the performance of business operation and administration, more and more companies try to use system solutions to explain overall operation status information. With the enhancement in technique and theory, Data Warehouse becomes a very key player in this upcoming market. This upsurge is also impact the FAB manufacture business. However, the resource to implement Data Warehouse is truly big investment. And all of implementation step need to be completed within a factory running by full capacity. The challenge is more difficult to complete a brand new installation.
In this case, the capacity of daily operation is not allow to be impacted. It is very impartment and difficult to figure out a methodology to execute the implementation without interfere the operation and also fulfill the desire of efficiency improvement. We try to approach from understand the daily operation and management process inside FAB and also study some success stories in other firm. We try to construct a best-fit solution that could be cross-verified by theory and real practices. The circulation pattern is used to build up the implementation flow. According to the priority of user’s requirements, we could set up a phase plan to implement. Through proceed key data scope one by one; we could increase the data coverage ratio to fulfill user’s need. The detail implementation steps are designed by through user request interview, system analysis and solution evaluating. The data model architecture and system architecture could be designed by bringing all of these outputs together. This architecture is also including data transformation management, metadata management and front-end user interface design. Then, we have a fully completed plan for data warehouse implementation.
In this research, we build up an integrated analysis platform to support end users retrieve information on daily job. The core of this platform is based on a clear and well-defined data warehouse. The process includes data definition and retrieving, data transferring and transformation and data model define and design. At the same time, we also provide a mechanism to manage meta-data and provide a clearer view of information. All of those processes focus on nothing but one thing, to increase the add-on value of data ware house. The technique of on-line web base analysis behavior support is the key point of front-end design. It will be a great help to present information to be an accuracy advisement by using a user friendly operating flow and view.
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| 參考文獻 |
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