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Method of Process Oriented Analysis

  Modern production machines and automation in manufacturing increase the complexity of processing and business workflow. In addition, the interaction of processing machinery, material handling, shop floor communication, quality control, and maintenance becomes more and more important for the maintenance and optimization of production. Instruments for the analysis of such systems are rare.

The method of Process Oriented Analysis - short POA - supports and simplifies the conception and design, the reengineering and the modernization of processing and business workflow.

The main application areas of POA are:
 
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System analysis and design of industrial processes and service processes on different levels of detail
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Investigation of the business workflow concerning the value added and the profitability
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System valuation and improvement in safety and sustainability.
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Optimization of processes and workflow by dynamic modeling.
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Software specification, development, and maintenance for machines and processes.
 
POA is a modeling method built up as a toolbox incorporating 6 tools. They containe process and state-oriented diagrams, both structured hierarchically. The tools have strict rules and procedures. This ensures the consistency of the models and of the program code for control and simulation based on it.

By clicking on a tool in the toolbox, you get the explanation of the tool extracted from the book "Process Oriented Analysis".
   
 
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  The Process Oriented Analysis is a:
 
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Modelling tool that leads efficiently to a significant results.
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Planning tool to avoid mistakes early in the realization, allowing an efficient project management.
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Analysis tool to depict a system on different levels of detail and to investigate and define processes and interfaces.
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Communication tool that provides a common project language to persons with different professional background.
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Optimization tool that investigates a plant concerning the costs and environmental relevant parameters and that reveals technical, logistic, and economic possibilities for improvement.