Design

E-Commerce in the People’s Republic of China

E-Commerce in the People's Republic of China

A Market Opportunity for German Companies?
Yingying Ke, Martin Braun ORCID Icon
Germany is the largest European trading partner of the People's Republic of China. The main exports are chemical products, machinery, motor vehicles and electrical engineering. However, German companies are finding it difficult to gain access to the Chinese B2C-market. E-commerce, which has been expanded in recent years, can enable German companies to enter the Chinese custom- er market. The article presents the situation of e-commerce in China and shows relevant support offers of the platform operators, which, however, can lead to economic dependency. For German companies, it seems advantageous to deal with the principles of success of Chinese e-commerce in order to implement them in their traditional markets.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 4 | Pages 38-42
Influence of Digitalization on Blue-Collar Workers

Influence of Digitalization on Blue-Collar Workers

Christoph Glock, Eric Grosse ORCID Icon, Sven Winkelhaus
The introduction of new Industry 4.0 technologies is changing job characteristics in many manual industrial sectors, especially in production and logistics, through automation and digitization. Depending on the extent and degree of maturity, these changes are perceived differently by employees and can have both positive and negative effects on job satisfaction and motivation. This article uses the example of workplaces in in-house logistics to highlight how their characteristics change as a result of the introduction of Industry 4.0 technologies. It also presents a process model that can serve as a decision-making aid for companies to consider important implications for the successful transformation process and to pursue the human-centric design of manual, technically supported workplaces.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 4 | Pages 53-56
Crowd Management Considering Pandemic Security

Crowd Management Considering Pandemic Security

Rahmenkonzept für einen sicheren Messebetrieb unter Berücksichtigung von geeigneten Abständen und Routenplanung
Ann-Kathrin Rohde, Birte Pupkes, Michael Lütjen ORCID Icon, Rafael Mortensen Ernits, Dennis Keiser, Michael Freitag ORCID Icon
The COVID-19 pandemic has highlighted the additional challenges that events face in terms of appropriate crowd management. This paper is dedicated analyzing these challenges and existing approaches for the safe operation of events during pandemics. Based on this, an innovative framework is presented that uses intelligent crowd analysis and is applicable to an environment with volatile groups. In addition, the specifiv use case of trade fair events is considered in this framework.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 4 | Pages 48-52
Intelligent Assistance System for Energy-Efficient Pump and Lock Control

Intelligent Assistance System for Energy-Efficient Pump and Lock Control

Innovative software systems for sustainable energy efficiency improvement in complex port facilities
Thimo Schindler, Arne Schuldt
Supported by an intelligent assistance system, the sustainability and digitalisation of the tideindependent Industriehafen Bremen can be increased. To guarantee port security, a constant level of the isolated harbour is essential. There is great potential for increasing energy efficiency if the lock naturally waters the harbour basin at times of high tide instead of employing a pump station. This contribution shows how artificial intelligence and innovative software systems were used to develop an assistance system to improve existing procedures without making extensive changes to the existing port infrastructure. (Only in German)
Industrie 4.0 Management | Volume 38 | 2022 | Edition 4 | Pages 57-61
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
Additive Manufacturing Value Chain

Additive Manufacturing Value Chain

Development of an SME-specific value chain of additively manufactured final metal parts
Tim Niklas Mai, Martin Brylowski, Ayman Nagi, Wolfgang Kersten ORCID Icon
Additive manufacturing processes are becoming increasingly important in industry and enable the cost-e ective production of complex components in small quantities. Small and medium-sized enterprises (SMEs) in particular can bene t from the high customization potential enabling the development of new business models. However, the widespread use of additive processes faces high production costs and technological challenges. Meanwhile, scienti c research focuses on the optimization of individual process steps of additive manufacturing and does not o er su cient support for SMEs. Therefore, this paper deals with the development of a cross-process value chain of additive manufacturing for SMEs. Based on a systematic analysis of scienti c literature, relevant additive manufacturing processes were investigated, and a cross-process value chain was derived. The results were veri ed by expert interviews and central research and development requirements were extracted.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 3 | Pages 25-30 | DOI 10.30844/I40M_22-3_25-30
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