Design and visualize highly reliable and lean processes

To simulate means to try. With real existing systems such as manufacturing systems, you can only experiment to a very limited extent for reasons of cost and time. It is even impossible with systems in the planning stage. The simulation is a way out of this problem. Simulation models can realistically represent any complex system and serve as a safe environment for experiments. The knowledge gained from the experiments can then be used for planning and operation of real systems, in order to have lean and cost-conscious processes.

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A safe test environment for your control software

The real automation software or control is coupled with a virtual system model – simulation model (emulation).

A digital twin is developed that is used as a test environment for virtual commissioning. In comparison to the “conventional” commissioning on the construction site, a more structured and plannable approach is possible. With our experience from numerous projects, we offer solutions that are individually tailored to your application. Those solutions help to identify possible errors and weak points in the automation software at an early stage.

We also attach particular importance to the fact that our emulation models are flexibly expandable. This means that our models can be operated over the entire lifecycle of the real system. Using object orientation, our modules can be transferred to libraries that allow expansions and new models to be implemented quickly and efficiently.

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Continuously improve value-adding processes

In production and logistics there are usually many possible combinations of control parameters. Using conventional optimization methods, it is difficult to find objective optima quickly and reliably. In addition, goals such as the reduction of production time and the minimization of the use of resources are contrary.

Integrating optimization in the simulation helps to understand and optimize such complex environments. By means of machine learning, neural networks and genetic algorithms, among other things, existing simulation models can be modified or newly created. These integrated models make it possible to solve any complex problem.

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Understand and apply simulation

We look forward to passing on our vast experience in the simulation of different production and logistics systems to you in the form of training and coaching. In addition to standard basic training courses for Siemens Plant Simulation, we can custom individual and efficient trainings for you, based on your daily tasks and your industry.

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Shape the future trough joint research

PPI is in constant exchange with universities and research institutions, which includes in particular, regular participation in research projects in the field of simulation and which includes holding lectureships.

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2008 - 2011

Participation in the joint project ForBAU in the Bausim (construction simulation) sub-project under the leadership of the Technical University of Munich. Utilization of the material flow simulation in the construction planning in order to simulate the whole construction project virtually before starting it.


2013 - 2016

Participation in the joint project KARIS PRO. Development of a small scale autonomous AGV system in the field of logistics and production. Project coordination by KIT – IFL.



2017 - 2019

The aim of the mikroKOMO research project under the umbrella of the Hahn Schickard-Gesellschaft in Stuttgart, is the development of integrating new software tools for the development, design and operation of micro-assembly systems. PPI-Informatik has developed an extensive library for the simulation of micro-assembly processes and systems.

Atlas competence assembly – collaborative and versatile

Germany is an important industrial nation on a world scale. The Assembly plays a decisive role in the added value in the manufacture of complex industrial goods. With that in mind, the Federal Ministry of Education and Research (BMBF) launched the ideas competition “Competence in assembly – collaborative and versatile – in 2015. The project atlas “competence assembly” prepares the results in a new clear form. As part of the mikroKOMO project, Stefan Pfaff from PPI-Informatik, examined the simulation of modular micro-assembly systems against the background of changing market requirements.


  • PPI is founding member of the Intralogistik Netzwerk Baden-Württemberg e.V.
  • PI is part of the Industry Advisorx Concil fo the Online Master in Logistics Management at University of Stuttgart and for the Information–Logistics program at HFT Stuttgart.

About us

Your competent partner for simulation and optimization

We are a partnership founded in 1996 that carries out and supports simulation projects for a large number of customers from various industries with over twenty years of experience. Our team is composed of employees with various backgrounds such as logistics, computer science and mathematics, in order to solve our customers problems holistically.