Institut für Produktionssysteme (IPS), TU Dortmund

What Institut für Produktionssysteme (IPS), TU Dortmund does

The Institut für Produktionssysteme (IPS) is a university research institute within the Faculty of Mechanical Engineering at Technische Universität Dortmund, located in Dortmund, North Rhine-Westphalia, Germany. Founded in 1970 through predecessor organizations focused on work-and-time economics, IPS reorganized its research mandate in 2005 under Univ.-Prof. Dr.-Ing. Jochen Deuse to advance digitalized Industrial Engineering by integrating computer science and statistics with production-systems domain knowledge. The institute operates across four declared core research areas: Work System Design, Production System Dynamics, Digital Manufacturing, and Smart Quality.

IPS delivers research output through approximately 750 m² of laboratory infrastructure housing research demonstrators (AR-Demonstrator, LBR-Zelle robotic cell, ABB YuMi collaborative robot, Adept-Zelle, Virtual Reality Lab, Zeitwirtschaft time-study laboratory) and a Cyber-Physical Pilot Brewery used for knowledge-graph and semantic-data integration research. The institute has produced over 510 publications and trained approximately 1,328 students, with active Bachelor's and Master's-level coursework in Industrial Engineering, Industrial Data Science, Work System Design, Gestaltung von Produktionssystemen, and Methoden der Zeitwirtschaft. Recent research initiatives include a Green Digital Twin focused on energy, resource, and CO2 transparency for the process industry, and reference processes for technical documentation of cyber-physical systems.

IPS does not operate as a commercial enterprise. As a publicly funded state institute under Technische Universität Dortmund — itself owned by the state of North Rhine-Westphalia — IPS is sustained by state appropriations and supplemented through collaborative research projects with industry partners, professional training programs in Lean Management, Production Planning and Control, and IoT/Data Science, plus consulting engagements. The institute maintains international research cooperation, notably with the University of Sydney on digital production standards, and participates in the University Alliance Ruhr (UA Ruhr). With approximately 19 direct employees, IPS functions primarily as an academic and applied-research body rather than a revenue-generating business.

Name

Institut für Produktionssysteme (IPS), TU Dortmund

Legal name

Institut für Produktionssysteme (IPS)

Website

https://ips.do

Company type

Private

Founded year

1970

Operating status

Operating

Headcount range

11–50 employees

Short description

The Institut für Produktionssysteme (IPS) is a publicly funded TU Dortmund research institute advancing digitalized Industrial Engineering across Work System Design, Production System Dynamics, Digital Manufacturing, and Smart Quality. It serves manufacturing industry partners and university students via applied research, professional training, and laboratory demonstrators.

Ownership category

akta.pro rank

Headquarters

HQ city

Dortmund

HQ country

Germany

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations, Infrastructure

Distribution channels3 records

Marketing channels3 records

Core offering

IPS is a university research institute that conducts applied research, delivers academic education, and provides professional training and consulting in digitalized industrial engineering and production systems. Its portfolio spans four core research areas — Work System Design, Production System Dynamics, Digital Manufacturing, and Smart Quality — supported by laboratory demonstrators, academic courses, and industry-focused training modules.

Product overview

The Institut für Produktionssysteme (IPS) at TU Dortmund is a university research institute focused on production systems engineering and Industrial Engineering. Rather than a unified commercial product platform, IPS operates as a research and educational institution offering a portfolio of research demonstrators (AR-Demonstrator, LBR-Zelle, ABB YuMi, Adept-Zelle), specialized laboratory infrastructure (Virtual Reality Lab, Zeitwirtschaft laboratory, Cyber-Physische Versuchsbrauerei), and professional training modules (Lean Management, Produktionsplanung und -steuerung, IoT und Data Science). These offerings are organized around four core research areas: Work System Design, Production System Dynamics, Digital Manufacturing, and Smart Quality. IPS also provides academic education through undergraduate and graduate courses in production systems and Industrial Data Science.

Differentiator

Problem solved

Functional benefit

Products and services

• AR-Demonstrator Augmented reality demonstrator used for research and training in production system visualization and interaction.
• LBR-Zelle Laboratory cell featuring a LBR (Leichtbauroboter) robotic system for research in human-robot collaboration and automated assembly.
• ABB YuMi Collaborative robot demonstrator from ABB used for research in safe human-robot interaction and flexible assembly.
• Adept-Zelle Automated assembly cell featuring Adept robotics for research in precision manufacturing and control systems.
• Cyber-Physische Versuchsbrauerei (Cyber-Physical Pilot Brewery) Cyber-physical pilot brewery used for research in knowledge graphs, semantic data integration, and smart manufacturing processes.
• Virtual Reality Lab Virtual reality laboratory facility for immersive visualization and simulation of production systems.
• Zeitwirtschaft (Work Measurement Laboratory) Work measurement and time study laboratory for research in industrial engineering and productivity analysis.
• Lean Management Schulungen (Lean Management Training) Training modules covering lean management principles and methodologies for industrial applications.
• Produktionsplanung und -steuerung Schulungen (Production Planning and Control Training) Training modules for production planning and control systems and methodologies.
• IoT und Data Science Schulungen (IoT and Data Science Training) Training modules covering Internet of Things technologies and data science applications for manufacturing.

Segments2 records

Ideal customer profiles2 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Feature4 records

Partnerships

Two partnerships are on record, tiered core.

• University of SydneycoreStrategic or Co-development PartnerInternational cooperation to develop standards for digital production and create innovative study program offerings. Supports exchange of knowledge and best practices in digitalized industrial engineering between Germany and Australia.
• University Alliance Ruhr (UA Ruhr)coreStrategic or Co-development PartnerRegional alliance of universities in the Ruhr area, providing a platform for collaborative research and education across multiple institutions in the Dortmund-Essen-Duisburg metropolitan region.

Scale indicators3 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Institute for Manufacturing (IfM), University of Cambridge: University of Cambridge institute covering industrial systems, manufacturing processes, and Industry 4.0 — international academic peer for production systems research and industrial data science.
• Fraunhofer Institute for Manufacturing Technology and Advanced Materials (IFAM): Fraunhofer institute for production technology and materials covering shaping, joining, and automation — operates a similar production-systems research portfolio with much larger industry-transfer scale.
• IFA (Institut für Fabrikanlagen und Logistik), Leibniz Universität Hannover: University institute for factory planning and logistics at Leibniz Universität Hannover — comparable academic production-systems research with focus on factory and logistics design overlapping IPS Work System Design and Production System Dynamics.
• Institute of Machine Tools and Manufacturing (IWF), ETH Zürich: ETH Zürich production-engineering research institute — comparable European academic production-systems research with global reach, relevant for benchmarking international collaboration and research output.
• Fraunhofer IPA (Institut für Produktionstechnik und Automatisierung): Fraunhofer institute focused on production technology and automation, including digital factory, smart manufacturing, and industrial AI — directly overlaps IPS's Digital Manufacturing and Smart Quality research areas.
• Werkzeugmaschinenlabor (WZL), RWTH Aachen University: Production engineering research institute at RWTH Aachen covering machine tools, production quality, and assembly — the most directly comparable German university institute to IPS in scope and academic model.
• Politecnico di Milano — Dipartimento di Meccanica: Italian technical university department covering mechanical engineering and production systems — comparable academic research institute in industrial engineering, digital manufacturing, and robotics.
• TU München — Institut für Werkzeugmaschinen und Betriebswissenschaften (iwb): Production technology and business administration institute at TU München — peer German university institute covering production machinery, digitalization, and lean manufacturing research.
• wbk Institute of Production Science, KIT: Production science institute at Karlsruhe Institute of Technology covering manufacturing, automotive production, and digitalization — peer university institute with overlapping industrial-engineering and Industry 4.0 agenda.
• Fraunhofer IPK (Institut für Produktionsanlagen und Konstruktionstechnik): Berlin-based Fraunhofer institute for production systems and design technology — covers digital production, cyber-physical systems, and knowledge graphs, all of which intersect with IPS's research portfolio.

Market position

Strengths4 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/institut-f%C3%BCr-produktionssysteme

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Institut für Produktionssysteme (IPS), TU Dortmund