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Off-Peak Delivery: An Opportunity for Climate-Friendly Urban Logistics

Off-Peak Delivery: An Opportunity for Climate-Friendly Urban Logistics

Sebastian Stütz, Daniela Kirsch
Urban logistics has to change to become more silent and eco-friendlier. Off-peak delivery is regarded as an effective measure to cut carbon emissions. Implementing this concept will require the deployment of electric trucks to comply with noise regulations. This article provides an overview of current research themes in this field and uses McKinnon’s “Analytical framework for green logistics”to illustrate off-peak delivery as a concept, its benefits and limitations as well as the key requirements to make this concept work.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 1 | Pages 48-52
Green Hydrogen and Its Derivatives

Green Hydrogen and Its Derivatives

Bremerhaven on the way to climate neutrality
Sara Hritz-Hagenah, Gerhard Schories, Michael Murck, Saskia Greiner
Reducing CO2 emissions to lower the global warming impact and protect the environment is a central objective of environmental policy. Climate neutrality shall be achieved by 2045 and a cross-sectoral reduction of greenhouse gases is only possible if fossil energy can be replaced by a sustainable alternative. In this context, green hydrogen and its derivatives have a high potential and could contribute to a more sustainable future. The city of Bremerhaven has recognized the potential of hydrogen and is currently establishing itself as a test region for hydrogen production and mobile applications.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 1 | Pages 37-40
Digital Transformation in International Conglomerates

Digital Transformation in International Conglomerates

Identification of Best Practice Solutions Using the Example of MANN+HUMMEL
Elena Haberstock, Peter Preuss
The article addresses the digital transformation in international corporations. Using the example of the MANN+HUMMEL group, it will be shown how the digital maturity level can be measured in a group with several production locations and how the transformation process can be simplified and accelerated by identifying and using group-wide best practice solutions.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 1 | Pages 53-56
Electrical and Hydrogen Microgrid

Electrical and Hydrogen Microgrid

Energy Control of a Self-Sufficient Supply System Based on a Combined Electrical and Hydrogen Distribution Grid
David Salomon Stephan, Uwe Werner, Carsten Fichter
The main goal of assembling a self-sufficient microgrid is to integrate all technical equipment into an autonomous energy supply system as a virtual power plant (VPP). The system integration focuses on the power electronic devices and the combination of gas and electrical supply chains. The developed microgrid structure is fed from renewable energy systems (green hydrogen), the electrical grid and the H2 gas grid with a liquid or gaseous energy source. In comparison to an island grid, the microgrid can be operated in parallel mode with the common public grid. The associated challenges of transient energy flows and the holistic view of a regulated microgrid based on an electrical grid and an H2 gas network are part of this article.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 1 | Pages 28-32
Biomimetics in Holistic Production Systems

Biomimetics in Holistic Production Systems

Biomimetic Methods to Support Process Standardization in SMEs
Annika Lange ORCID Icon, Patrick Gering, Nicole Oertwig ORCID Icon, Thomas Knothe ORCID Icon
Holistic production systems (HPS) do not only produce positive effects in large companies - they also have an impact on small and medium-sized enterprises (SMEs), such as improved adherence to delivery dates. However, HPS cannot be copied from large companies to SMEs due to different initial situations and circumstances. The introduction of HPS means a high effort for SMEs. In this paper, an approach is presented on how a bionic principle can make HPS less costly and at the same time more effective for SMEs.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 1 | Pages 57-60
Ready for Industrie 4.0?

Ready for Industrie 4.0?

Prerequisites for successful digitalization in production
Günther Schuh ORCID Icon, Andreas Gützlaff, Matthias Schmidhuber, Judith Fulterer, Max-Ferdinand Stroh, Jan Hicking
Despite a strong media presence and proven potential benefits, Industrie 4.0 is not yet established in many companies. Industry 4.0 projects often remain in a prototype status and do not deliver long-term added value. The solution is an integrated digital system landscape consisting of a connected, digital infrastructure and a business organization oriented towards Industrie 4.0. Through a four-step approach, this paper presents the foundations that need to be created to enable scalable solutions and realize long-term benefits.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 1 | Pages 61-65
Container Terminal Automation − Success Factors for the Management of Straddle Carrier Automation

Container Terminal Automation − Success Factors for the Management of Straddle Carrier Automation

Erfolgsfaktoren für das Management der Automatisierung von Straddle Carriern
Sebastian Eberlein, Stephan Oelker, Serge Jacovis, Vanessa Beckmann, Michael Freitag ORCID Icon
Efficiency in container terminal operations is key for competitiveness. Many large German terminals use the flexible but relatively risk-laden manned straddle carriers (SCs). The research project STRADegy evaluated the reliability and profitability of automated SCs in northern-German container terminals via a combination of a pilot installation and an emulation at the container terminal in Wilhelmshaven. Parallel to that, rollout-guidelines were developed. This paper introduces central results regarding a successful rollout of auto-SC-systems.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 6 | Pages 6-10
Autonomous Quality Inspection 4.0

Autonomous Quality Inspection 4.0

Reducing pseudo defects in PCB production by integrating machine learning (ML)
Florian Meierhofer, Jochen Deuse ORCID Icon, Lukas Schulte, Nils Killich
Customers are increasingly demanding electronic components with high quality, which forces companies to continuously fulfil these requirements. This leads to a high number of inspection gates with high inspection severity and a high number of pseudo defects. Double inspections by process experts reduce these defects but generate high inspection costs. Autonomously acting inspection systems meet this challenge. Within this article, a machine learning algorithm was integrated into the solder paste inspection process to form an autonomous quality inspection system.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 6 | Pages 52-56
Ready for Artificial Intelligence?

Ready for Artificial Intelligence?

Recommendations for the AI transformation for small and mid-sized enterprises
Ralf Klinkenberg, Philipp Schlunder
Artificial intelligence (AI) is the next stage in the digitalization of the economy. The technology also offers great potential for small and mediusized enterprises (SMEs). However, many SMEs are still reluctant to introduce AI and are only at the beginning of digitization: only around one fifth of all SMEs in Germany have thoroughly digitized their own processes and departments. What does this mean for the use of AI in companies? What steps should businesses take now to take advantage of the opportunities AI offers? And what stumbling blocks should be avoided? This article presents practical implementation concepts for companies with different levels of digital maturity and AI deployment capabilities and shows the range of potential benefits of AI applications in different industries and with different value creation architectures in medium-sized companies.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 6 | Pages 62-66
Collaborative Robots in Quality Assurance

Collaborative Robots in Quality Assurance

Decision model for checking the cobot suitability of visual inspection processes
Harald Augustin ORCID Icon, Lara Hornung, Simon Hoffmann
Visual inspections of product surfaces are predominantly carried out by employees, whereby automation approaches with camera and image processing systems show great potential. Cobots are also being incorporated into quality assurance processes. In the following, the integration possibilities of cobots in visual inspection are discussed and a decision model is presented that can be used to check visual inspection processes for their cobot suitability. The decision model is designed for direct integration into already existing cobot suitability inspection processes and serves as an initial strategic decision-making aid.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 6 | Pages 32-36
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