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Artificial Intelligence and Future of Work

Artificial Intelligence and Future of Work

Changes and Possible Approaches
Andreas Heindl, Alexander Mihatsch
Artificial intelligence (AI) is already an important part of business models and processes of many companies. In the future, AI systems will pro- foundly change our working environment. AI systems can develop completely new potential for companies in a wide variety of sectors and domains - especially in industry. Existing busi- ness models can be optimized along the value chain by optimizing production flows and processes or avoiding production downtimes with predictive maintenance. At the same time, AI systems can enable completely new business models and thus radically change existing mar- ket structures through new players. The AI economy of tomorrow will be more individual, more precise and more sustainable: Competitive value creation without AI will not be possible in many areas of industry.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 4 | Pages 10-14
Concept for a Modular, Reconfigurable Assembly System

Concept for a Modular, Reconfigurable Assembly System

Increased flexibility through reconfiguration at various production levels
Jasper Wilhelm, Nils Hoppe, Michael Freitag ORCID Icon
Companies must increase their flexibility and enable high product customization and variety to meet market demands. In assembly, this requires a large number of special machines, which leads to high investments and space requirements. This paper presents a concept for a modular, reconfigurable assembly system that allows unrestricted connection of individual modules. It is shown how such a system can be located in the RAMI4.0 framework and fulfills changeability requirements on different production levels. (Only in German)
Industrie 4.0 Management | Volume 38 | 2022 | Edition 4 | Pages 33-37
With Strength from the Crisis

With Strength from the Crisis

Katrin Seidel
As early as 1997, Christian Lindner, now Germany's Minister of Finance, knew that crises and problems are "also just thorny opportunities. What at the time seemed more like a rhetorical, flowery battle cry from a brash young entrepreneur is, in essence, still a resilient, psychological fact today. Shocking strokes of fate or other drastic experiences often literally pull the rug out from under people - and change their perspective on their own lives. However, this forced change of perspective can also be a real opportunity for change for the better, if one has learned to deal with crises and to recognize and seize the opportunities hidden in them.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 4 | Pages 64-66
Custom-Fit Shoes Using 3D Printing

Custom-Fit Shoes Using 3D Printing

Deep Learning Supports Defect Detection in Mass Customization
Markus Trapp, Markus Kreutz, Alexander Böttjer, Michael Lütjen ORCID Icon, Michael Freitag ORCID Icon
3D printing has established itself as a production process and has also found its way into the fashion industry. Individualised shoes can be 3D printed, but this poses significant challenges for automated quality control, as defects are rare. Autoencoders enable to train a system with defect-free data so that detected deviations from this state can be evaluated as defects. Our research shows a ROC AUC score of 0.87, proving that this method is suitable for anomaly detection in 3D-printed shoes.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 4 | Pages 15-18
Technology Acceptance of Robotic Process Automation (RPA)

Technology Acceptance of Robotic Process Automation (RPA)

Jonas Geist, Jörg von Garrel
This article aims to develop a model for the acceptance of RPA technologies based on the presentation of the state-of-the-art. The model is the basis of an empirical study on the acceptance of robot-assisted process automation (RPA) at a global technology company. The results of this study are presented in a corresponding publication "An Empirical Analysis of Technology Acceptance of Robotic Process Automation (RPA) (Part 2)".
Industrie 4.0 Management | Volume 38 | 2022 | Edition 4 | Pages 43-47
Robotic Process Automation (RPA) in Logistics − Implementation Model and Success Factors

Robotic Process Automation (RPA) in Logistics − Implementation Model and Success Factors

Vorgehensmodell und Erfolgsfaktoren für die Implementierung
Carsten Feldmann, Jan Krakau, Victor Kaupe
RPA refers to bots that automate repetitive, rulebased tasks in a business process. This paper describes general areas of application for RPA in logistics as well as two practical logistics examples. In addition, a procedure model for the implementation of RPA in logistics is presented. The paper answers the following questions: What are suitable use cases for RPA in logistics? What criteria support the selection of suitable processes? And how should an implementation guide be designed to systematically support an implementation project taking into account critical success factors?
Industrie 4.0 Management | Volume 38 | 2022 | Edition 3 | Pages 35-40
Key Factors for Successful Supply Chain Management

Key Factors for Successful Supply Chain Management

Sebastian Trojahn, Vanessa Klementzki
Today's business world is characterized by ever-increasing complexity in nearly every dimension. Supply chains can no longer be understood in a linear fashion, but form networks across numerous supply chain participants. Globalization and crises are straining existing structures, calling into question previously set priorities and measures, and demanding new solutions. How must supply chains be structured in this constantly changing environment in order to be successful? This article highlights fields of action for successful supply chain management.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 3 | Pages 48-52 | DOI 10.30844/I40M_22-3_48-52
Digitalisation of an Espresso Machine

Digitalisation of an Espresso Machine

Use of the MQTT protocol
Andreas Braun, Peter Preuss
The article investigates whether a standard portafilter espresso machine can be made IoT-capable with the help of sensors and small microcontrollers and what added value the communication protocol Message Queue Telemetry Transport Protocol (MQTT) provides.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 3 | Pages 53-56
Supply Chain Finance in the Digital Age

Supply Chain Finance in the Digital Age

Current Approaches and Opportunities Inherent to Digital Ledger Technologies
David Wuttke, Sairam Sriraman
In this article, we discuss the opportunities of digtal supply chains from a supply chain nance perspective. In doing so, we rst highlight the importance of supply chain finance at times of global supply shortages. Then, we explain why digital platforms are necessary in this context and what challenges their introduction entails. Finally, we provide an outlook towards distributed ledger technology and blockchain.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 3 | Pages 41-44
Green Fuels in Maritime Shipping

Green Fuels in Maritime Shipping

Heating, electric power supply and ship propulsion with hydrogen and LNG fuels
Carsten Fichter, Uwe Werner
In current times, heavier fuels such as oil and diesel are generally used to power merchant and passenger ships alike. International and national regulations are likely to increase pressure to reduce greenhouse gas emissions of sulfur and nitrogen oxide, carbon dioxide, and fine dust pollution within the global maritime shipping industry. Green fuels are one possible solution for emission reduction. Therefore, the International Maritime Organization (IMO) create the International Convention for the Prevention of Pollution from Ships (MARPOL), Annex VI of which enables the enforcement of designated (sulfur) emission control areas (ECAs or SECAs). Current research shows that hydrogen and LNG fuels can be safely operated and used to supply electric generating systems and drive systems. Today, cruise ships are often constructed with LNG main propulsion engines. Conventional hydrogen and LNG fuels are not CO2 free. However, green hydrogen, green ammonia and green LNG are based on ...
Industrie 4.0 Management | Volume 38 | 2022 | Edition 3 | Pages 61-65 | DOI 10.30844/I40M_22-3_61-65
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