This page (revision-23) was last changed on 14-Dec-2022 11:28 by Christoph Kugler

This page was created on 10-May-2022 15:37 by Christoph Kugler

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Version Date Modified Size Author Changes ... Change note
23 14-Dec-2022 11:28 3 KB Christoph Kugler to previous
22 29-Nov-2022 13:12 3 KB Christoph Kugler to previous | to last
21 29-Nov-2022 13:12 3 KB Christoph Kugler to previous | to last

Page References

Incoming links Outgoing links
Data Infrastructure Wiki
Data Infrastructure Wiki

Version management

Difference between version and

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%%viewer [https://player.vimeo.com/video/670141044]/%
%%viewer [https://player.vimeo.com/video/670141044]%%
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__%%( color: #003399; font-size: 18px; )Type of tool:/%__ guideline
__Type of tool:__ e.g. web application or desktop application
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__%%( color: #003399; font-size: 18px; )Required skills:/%__
__Required skills: __
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- no special skills required
- Process/material knowledge: e.g. knowledge of material properties
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__%%( color: #003399; font-size: 18px; )Short description of the tool: /%__
- Digitalization knowledge: e.g. no programming
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The tool offers a wiki to support the selection process for shop floor data acquisition infrastructure. Therefore, it offers an outline of the most important steps to extract data from production processes and gives examples for solution providers. There is no digital data needed and no data will be stored. Direct links to selected products and companies will be given. The tool thus offers a support for setting up a shop floor data acquisition system.
__Short description of the tool: __
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Before you get started, take a look at the [guideline|https://di-plast.sis.cs.uos.de/attach/Data Infrastructure Wiki/Di-Plast_Tool Guideline_DIW_fin.pdf|style='background-color: rgb(255, 255, 255);'] and make yourself familiar with how to use the tool.
- Detailed description: Link to the guideline:
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__%%( color: #003399; font-size: 18px; )Disclaimer:/%__
__Use case/problem:__ Selecting material (recyclate) for specific
product requirements
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__%%( color: #003399; )Disclaimer of Warranty:/%__
There is no warranty for the program, to the extent permitted by applicable law. Except when otherwise stated in writing the copyright holders and/or other parties provide the program “as is” without warranty of any kind, either expressed or implied, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. The entire risk as to the quality and performance of the program is with you. should the program prove defective, you assume the cost of all necessary servicing, repair or correction.
__Description of the problem the tools solves:__ [[General] + [[Tool-specific]
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__%%( color: #003399; )Limitation of Liability:/%__
In no event unless required by applicable law or agreed to in writing will any copyright holder, or any other party who modifies and/or conveys the program as permitted above, be liable to you for damages, including any general, special, incidental or consequential damages arising out of the use or inability to use the program (including but not limited to loss of data or data being rendered inaccurate or losses sustained by you or third parties or a failure of the program to operate with any other programs), even if such holder or other party has been advised of the possibility of such damages.
__Disclaimer:__
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__%%( color: #003399; font-size: 18px; )Access the tool directly:/%__
__How to use/download/access it:__ e.g. got the the gitup [[link], copy
the code into [[XY] and start using\\
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[Data Infrastructure Wiki|https://di-plast.sis.cs.uos.de/attach/Data Infrastructure Wiki/Di-Plast_Tool_DIW_fin.pdf|style='background-color: rgb(255, 255, 255);']
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__%%( color: rgb(0, 51, 153); font-size: 18px; ) \\/%__
__Contact person of the tool: __
Stefan Bloemheuvel
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__%%( color: #003399; font-size: 18px; )Use case/problem:/%__
__Related tools:__
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Selecting suitable data infrastructure
- Set up a working data infrastucture
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__%%( color: #003399; font-size: 18px; )Description of the problem the tools solves:/%__ The tool supports the decission for shop-floor data infrastructure by suggesting a process for shop-floor digitalization.
- Find the right sensor to survey your process
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__%%( color: #003399; font-size: 18px; )Contact person of the tool: /%__Christoph Kugler
- Validate your process data
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__%%( color: #003399; font-size: 18px; )Related tools:/%__
-
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- Analyse and Visualize your process data with data analytics -> [Data Analytics]
! Tool Description
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- Find the right sensor to survey your process -> [Sensor Tool]
The tool offers a wiki to support the selection process for shop floor data acquisition software infrastructure. Therefore, it offers an intuitive webfrontend with a series of selections to define your budget and internal knowledge.
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- Improve internal information and material flow -> [VSM]
 
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- Match material requirements with material properties -> [Matrix]
! Guidelines
Before you get started, take a look at the [guideline|https://di-plast.sis.cs.uos.de/attach/Data Infrastructure Wiki/Di-Plast_Tool Guideline_DIW_fin.pdf] and make yourself familiar with how to use the tool.
 
! Getting Started
The tool is available through the plattform Streamlit via this Link: [Data Infrastructure Wiki| https://share.streamlit.io/skz-digi/data-infrastructure-wiki/main/main.py]
This page (revision-23) was last changed on 14-Dec-2022 11:28 by Christoph KuglerTop