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|Language of final thesis:||English|
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|Title of the thesis:||Challenges for Auto-ID-Systems Manufacturing|
|Summary:||Automatic identification and data capture (Auto-ID) refers to the methods of automatically identifying objects, collecting data about them, and entering that data directly into computer systems.
Short product life cycles and a constantly decreasing amount of repeated orders in the area of industrial engineering require an adaptation of existing IT concepts like EDM (Engineering Data Management) as well as PDM (Product Data Management). Auto-ID can help to counteract to that development. The aim is to regenerate the loss of productivity again considering a wide range of production environments ranging from small batch productions to bulk applications.
Essential for profound process analysis of case studies are the available process-analysing tools. Existing process-analysing tools can only be used for a rough process understanding for Auto-ID applications. The problem is that the existing methods are not designed for Auto-ID applications and crucial information are missing. Therefore the new and original Glauto (Gleser + Auto-ID) process chain paradigm was developed. It is a specialised process-analysing tool for Auto-ID applications, which offers also the possibility to calculate key figures.
Glauto process chain paradigm is applied to two different case studies: one small batch production and one bulk application. The concepts are analysed considering technical as well as financial aspects. With the help of Glauto process chain paradigm and financial calculations open rationalisation potential is recognised.
One of the hardest questions to answer for the implementation of a new technology is the balance or the compromise of technical possibilities and financial reasonableness. Improvements of the possibilities to academically answer this question are offered by generating functions for costs and benefits for the two considered case studies.
This procedure gives the possibility to become acquainted with the economic aspects starting from the technical options. A more and more quickly changing market requires real time data respectively analysis for decision makers to react flexible to a changing inquiry situation, new trends or delivery problems.
For the two considered case studies it has to be stated that the most important part when applying Auto-ID technology to an existing system is to profound question the design of the desired system and consider the important interfaces and influences for an optimum realistic financial calculation.|
|Key words:||Glauto process, process analysing tools, Radio frequency identification (RFID), Automatic identification and data capture (Auto-ID)|
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