Research projects supporting the fourth industrial revolution

Comprehensive software expertise for securing the future

Strong partnerships with leading research institutes and the top industrial associations in Germany ensure our software solutions remain practical and are always ready to meet future challenges.

Manufacturing companies in a high-income economy such as Germany or other European Union countries set themselves apart in the global market with flexibility and a high level of automation. To ensure this competitive edge can be sustained in the future, PSI carries out research with excellence clusters in the German engineering sector and top universities. This includes five projects rated as important pioneers of the fourth industrial revolution.

EUMONIS – software and system platform for energy and environmental monitoring systems

Over the entire plant life cycle, the EUMONIS project addresses the operation and maintenance of renewable energy plants, such as wind, solar or bio-energy plants. To do this, integrated software systems must be created in the areas of energy park operations planning and service management, facilitating the communication between all elements involved in the life cycle of these plants via a central platform. As part of EUMONIS, PSIPENTA is therefore researching the development of monitoring and control systems (MDC, SCADA) to support advanced business models of component suppliers, plant manufacturers, energy park operators, network operators and external service providers.

Particular areas that we are focusing on are the collection of plant and operating data, the early identification of operational problems and the identification of preventive maintenance. The efficient planning of the elimination of faults must take into account criterias such as weather forecasts, failure compensation, plant yield, energy efficiency and route optimisation. The implementation in the context of service management software components must consider current standards in this environment.

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Smart Logistic Grids – adaptive, multimodal logistics networks through integrated logistics planning and control

The aim of the research project is to develop a system that enables better action alternatives across a logistics network, thus increasing the efficiency of the overall system. The project will develop methods and systems for considering, developing and optimising global logistics networks as a whole.

The following priorities will be addressed: development of an integrated model of adaptive supply chains to expand classic approaches to strategic, tactical and operational logistics planning and control, as well as the development of a supply chain operations room and the global supply chain event cloud.

The consortium partners involved in the research project, led by PSI Logistics GmbH, are FIR at RWTH Aachen University, the Logistics Division at TU Berlin, Hellmann Worldwide Logistics GmbH & Co. KG, TOP Mehrwert Logistik GmbH and ZITEC Industrietechnik GmbH.

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Autonomik - KPI-controlled optimisation of production planning and control of small series (KOPC) by means of fuzzy logic

Small-series manufacturing requires a radical new approach for lean production planning. The project, funded by the German Federal Ministry for Economic Affairs and Energy, favours decentralized, highly flexible material flow units realised by cyber-physical systems. The practical relevance of the results achieved in the project will be illustrated using demonstrators. F/L/S Fuzzy Logik Systeme GmbH is involved in the following focus areas:

  • Development of a new planning methodology for production planning for small series
  • Development of an operating concept for decentralised electric vehicle small-series manufacturing
  • Development of a control concept for CPS for car manufacturing and material supply
  • Support in the development of a monitoring and assistance system for the early detection of faults
  • Support in the development of a simulation system for production control 

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ProSense – high-resolution production control based on cybernetic support systems and intelligent sensors

The aim of this research project is to develop a high-resolution, adaptive production control system based on cybernetic support systems and intelligent sensors. The control systems must be designed in such a way as to ensure, by means of high-resolution data, that they provide optimal support for individuals, the decisionmakers, in production control.

At the detail planning level, the focus is on the development of versatile, adaptive detail planning of manufacturing and production control. The integration of mass data will enhance innovative, intelligent sensors from the production process with existing technologies and products. A standardisation of the technical interfaces to the sensor technology will also be pursued.

In addition to the technical interfaces of the sensors in the detail planning modules, the intelligent processing of this mass data using new analysis and processing algorithms and the integration of these algorithms into existing software systems such as PSIpenta/Adaptive is also a significant task that PSIPENTA Software Systems GmbH is undertaking as part of this project.

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WInD – versatile production systems through integrated IT structures and decentralised production planning and control

The dynamics and variety of products in mechanical engineering and plant engineering is growing, increasing the diversity of processes in order control. This diversity of the planning and control processes requires a huge degree of coordination with respect to the organisation and the information systems.

The overall goal of the project is to design a versatile production system for the mechanical engineering and plant engineering sector. In particular, the project aims to significantly increase coordination in production networks.

One objective is to design processoriented standard interfaces between the relevant IT systems (PLM-ERP, ERP-MES) to enable vertical and horizontal integration of the IT infrastructure.

A further objective is to design a modular planning and control logic and to identify thresholds for situational changes to planning and control methods in ERP systems. Overall, the results of the research project mean a significant improvement to the planning basis in the mechanical engineering and plant engineering sector.

PSIPENTA is involved in this research project as an IT partner, bringing with it an extensive range of expertise relating to ERP and MES. In the summer of 2013, the project was successfully completed by all consortium partners.

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