Works on: Windows 10 | Windows 8.1 | Windows 8 | Windows 7 | Windows XP | Windows 2000 | Windows 2003 | Windows 2008 | Windows Vista | Windows 2012 SHA1 Hash: ea0f1c6705f80cd1563cfafe4a46c34dc23f3aa2 Size: 70.25 MB File Format: exe
Rating: 2.130434782
out of 5
based on 23 user ratings
Publisher Website: External Link Downloads: 93 License: Demo / Trial Version
CONSIDEO PROCESS MODELER is a demo software by Consideo Gmbh and works on Windows 10, Windows 8.1, Windows 8, Windows 7, Windows XP, Windows 2000, Windows 2003, Windows 2008, Windows Vista, Windows 2012.
You can download CONSIDEO PROCESS MODELER which is 70.25 MB in size and belongs to the software category Project Management. CONSIDEO PROCESS MODELER was released on 2011-07-27 and last updated on our database on 2017-02-23 and is currently at version 7.5.
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CONSIDEO PROCESS MODELER Description
The CONSIDEO PROCESS MODELER is the first easy to use tool to play scenarios (System Dynamics) on constraints (Theory of Constraints, ToC, by Eliyahu Goldratt) and the critical chain of processes and projects. Connect to MS-Project, Excel or SQL, create management cockpits, identify risks and levers. CONSIDEO is an innovative product line consisting of CONSIDEO MODELER, CONSIDEO OLAP MODELER, CONSIDEO PROCESS MODELER etc. which enables the user to model and simulate complex problems in every business area! Intuitive and easy-to-use, the workflow of CONSIDEO guides you through a series of steps to solve your problem by combining different international recognized methods automatically for the first time worldwide. Having defined all relevant factors connected to your problem by using well-known brainstorming techniques (Brainstorming/Metaplan), you can easily connect the factors by using simple arrows and analyse and communicate afterwards the underlying structure of your problem in the sense of cause-and-effect relationships with feedback loops (Concept- und Mind mapping, Mental Modeling). On the basis of this Causal Loop Diagram (CLD), you can easily analyse the structure of the system and find the most efficient lever to solve your problem (Systems Thinking). Finally, you can quantify your model in order to get a deeper understanding about the problem structure and to evaluate different strategies by testing different what-if-scenarios (System Dynamics).
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