Branche: Manufacturing

Leveraging AI for Cost-Reduced Exhaust Gas Aftertreatment

Leveraging AI for Cost-Reduced Exhaust Gas Aftertreatment

Use of AI-based dosing systems to reduce nitrogen oxides in large diesel engines
Manuel Brehmer, Marc Schuler
The design of gear pumps causes gap flows, which counteract efforts to achieve exact dosing. However, due to the complex relationships between pressure, temperature, manufacturing tolerances and the material properties of the pumped medium, these gap flows cannot be reliably described in real time using physical equation systems. By using new algorithms and artificial neural networks, it was possible to solve this problem and replace a cost-intensive flow measurement method at the same time. This new approach has been tested on a pilot plant scale, and has already demonstrated that it can achieve the accuracy of a classic flow meter, while at the same time significantly decreasing the response time and increasing the application range of the dosing system.
Industry 4.0 Science | Volume 40 | 2024 | Edition 2 | Pages 72-79
Lean Empowerment in the Digital Ecosystem

Lean Empowerment in the Digital Ecosystem

Translating cultural values into technical requirements
Frank Bertagnolli ORCID Icon, Sabrina Karch ORCID Icon, Arndt Lüder ORCID Icon
With the advent of digitalization, prevailing paradigms – such as product centricity, face-to-face collaboration and hierarchical structures – are giving way to the vision of data-driven business models, digital, collaborative ecosystems and an agile, holacratic way of working in flat hierarchies and self-managing teams. Collaboration is made possible through the use of software solutions. In addition to adapted management concepts, the digital space also requires a digital cultural understanding on part of the companies involved. Lean empowerment is a pioneering approach to collaboration based on cultural values. In expert workshops, ideas were developed to explore how these values can be lived in a digital culture and thus in terms of global digital collaboration. This article presents concrete solutions from which requirements for digital collaboration and for implementation within IT structures and software solutions in particular can be derived.
Industry 4.0 Science | Volume 40 | 2024 | Edition 2 | Pages 32-39 | DOI 10.30844/I4SE.24.2.32
Energy Efficiency Through Intelligent Electricity Data Acquisition

Energy Efficiency Through Intelligent Electricity Data Acquisition

Wireless retrofit solution based on IoT technologies and open-source software for existing industrial buildings
Sergej Kreber, Kevin Kutzner, Dieter Uckelmann ORCID Icon
Facility managers for industrial properties are faced with the challenge of optimizing the energy efficiency of their facilities in the face of ever-increasing energy demand and rising energy costs. Digital processes that enable the comprehensive monitoring, analysis and control of energy demand offer an effective way to reduce costs, increase energy efficiency and make optimal use of resources. Based on IoT technologies and open-source software, a cost-effective, wireless and flexible retrofit solution for real-time energy data collection has been developed.
Industry 4.0 Science | Volume 40 | Edition 2 | Pages 87-93
Motion-Mining Compared to Traditional Lean Tools

Motion-Mining Compared to Traditional Lean Tools

Sensor-supported analysis of manual processes in manufacturing and logistics
Hendrik Appelhans, Christopher Borgmann, Carsten Feldmann
Motion-Mining® is a technology that uses motion sensors and pattern recognition to enable automated process mapping and analysis of manual work. This article evaluates the advantages and limitations of its use in manufacturing and logistics processes. To this end, Motion-Mining® is compared with traditional lean management tools used to analyze manual activities. Experiences derived from four use cases provide decision support for selecting the appropriate method for a specific use case.
Industry 4.0 Science | Volume 40 | Edition 2 | Pages 24-31
Integration of Artificial Intelligence into Factory Control

Integration of Artificial Intelligence into Factory Control

Norbert Gronau ORCID Icon
With the increasing availability of IoT devices and significantly greater incorporation of Internet-enabled technologies into manufacturing processes, the idea of improving factory control through the use of artificial intelligence (AI) is also coming to the fore. Using the example of high-variation series manufacturing, this article describes which steps need to be taken to improve factory control with AI.
Industry 4.0 Science | Volume 39 | 2023 | Edition 1 | Pages 95-99 | DOI 10.30844/I4SE.23.1.95
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