Typeset

Life Cycle Assessments at Aircraft Manufacturers

Life Cycle Assessments at Aircraft Manufacturers

An analytical decision model for assessing the potentials
Dennis Keiser, Birte Pupkes, Jonas Wagner, Michael Freitag ORCID Icon, Rafael Mortensen Ernits, Matthias Reiß, Axel Becker
The aviation industry faces significant challenges in reducing the environmental impact of global air traffic. This results in the goal of net zero emissions by 2050. Innovations and new technologies must be implemented along the entire value chain to achieve this goal. In this context, investments and decisions have to be evaluated based on their potential to reduce environmental impacts. One method for operationalizing these issues is the life cycle assessment framework. This paper presents an analytical decision model for the potential assessment of LCA at aircraft manufacturers. The basis of the model is the derivation of criteria for the assessment and the identification of use cases along the value creation process. Based on the decision model, first concrete application scenarios are identified. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 3 | Pages 62-66
Optimization Effects of IT Security Certifications

Optimization Effects of IT Security Certifications

Balancing the costs and benefits of optimization strategies in current IT audit schemes
Brian Niehöfer, Alexander Lawall ORCID Icon
The number of successful cyber attacks on industrial manufacturing is constantly increasing due to the growth of digitalization and networking. IT security certifications are an effective means against these attacks and at the same time create confidence in and comparability of IT security about production and IT products. This article compares certification standards such as ISO/IEC 15408 - Common Criteria (CC) and specific standards for mobile communications (including NESAS CCS-GI), of GSM Association (GSMA) and 3rd Generation Partnership Project (3GPP), for testing depth and efficiency. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 3 | Pages 6-9
Regulatory Framework for Artificial Intelligence Applications in the Industry 4.0 Context

Regulatory Framework for Artificial Intelligence Applications in the Industry 4.0 Context

Dirk Schmalzried, Marco Hurst, Jonas Zander, Marcel Wentzien
Artificial Intelligence methods can be structured according to different aspects. Applications within Industrie 4.0 can also be classified into levels and process groups using the RAMI framework or the ISA95 standard. However, a taxonomy is lacking that relates the classification of the application areas to the processes improved by machine learning methods while at the same time locating and evaluating them. Such a framework helps to classify new processes and solutions and supports finding suitable machine learning methods for concrete problems in the Industry 4.0 context.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 3 | Pages 28-33 | DOI 10.30844/IM_23-3_28-33
Privacy and Surveillance in the Digitalized Society

Privacy and Surveillance in the Digitalized Society

A (cyber-)ethical challenge
Matthias Schmidt
The concepts of public and private play a special role in connection with the digitalized society and thus with the ethical requirements that such a society places on cybersecurity. This is because the digitalization of society is shifting the boundaries between what can be described as public and private. Consequently, the relationship between freedom and surveillance is being put to the test. It is a question of (cyber-)ethics how far privacy should be restricted in favor of surveillance and security. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 3 | Pages 10-13
On-Site BLE-Based Data Collection

On-Site BLE-Based Data Collection

Hendrik Jonitz, Thomas Braml, Eva-Maria Kern, Marius Herzog
The increasing industrialization of the construction industry enables the implementation of a standardized process performance management, which can be used to analyze and control operational processes on construction sites [1]. This requires appropriate process data. The subject of this paper is the presentation of a structured procedure for process data collection based on Bluetooth Low Energy. The experiences gained in the course of field studies are used to derive opportunities and challenges and thus provide practical information on the use of BLE for process data collection. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 3 | Pages 42-47
WebAssembly for the Industrial Internet-of-Things

WebAssembly for the Industrial Internet-of-Things

Sichere, skalierbare Plattformen mit Bytecode-basierten Virtuellen Maschinen
Stefan Wallentowitz, Markus Friedrich
The industrial internet-of-things is built on heterogeneous hardware/software platforms, which vary in their architecture and performance. Virtualization is an important technology for building secure and portable applications on scalable IoT deployments. Bytecode based virtual machines are coming back into focus with WebAssembly, a technology that started in the web browser and now raises interest in other use cases. In this paper we discuss a vision of scalable WebAssembly deployments in the industrial internet-of-things.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 3 | Pages 48-51 | DOI 10.30844/IM_23-3_48-51
“Every Company is Vulnerable and Needs to Protect Itself Appropriately”

"Every Company is Vulnerable and Needs to Protect Itself Appropriately"

Interview with Hans-Peter Bauer, BlackBerry
Manufacturing companies of all sizes have been a popular target for hackers and cyber criminals for years - and the trend is rising. In addition to security gaps in the IT systems, OT systems, i.e. operational technology, are increasingly being targeted by attackers in the course of digitalisation and networking. The consequence: companies should secure themselves as quickly as possible. Hans-Peter Bauer, Senior Vice President Cyber EMEA at BlackBerry, explains how this is possible. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 3 | Pages 52-54
Bakery 4.0

Bakery 4.0

Development of an IoT framework for the automatic collection of machine, process data in medium-sized bakery operations
Abderrahim Ait Alla ORCID Icon, Frida Köning, Heiner Alsen, Joshua Coordes, Michael Freitag ORCID Icon
While the digital world has already made its way into many other production areas, the bakery industry has so far benefited little from these technological developments. This is because many baking processes are manually controlled and rely on expert knowledge. In addition, the process data from the machines is still not automatically captured via sensors. This paper describes a procedure for digitizing baking processes by developing an IoT framework consisting of an IoT device including measurement methods, an edge gateway, and a simulation-based solution for process optimization.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 3 | Pages 36-40
BSI Recommends: Virtual and Secure Surfing

BSI Recommends: Virtual and Secure Surfing

Clemens A. Schulz
Every day there are cyber attacks in the industrial sector − only the most spectacular incidents make the headlines. Like the attack on the automotive supplier Continental last summer or on the commercial vehicle supplier SAF-Holland in March this year. The financial damage caused by such attacks and the loss of trust among customers and employees are enormous. As protection against cyber attacks, the Federal Office for Information Security (BSI) now recommends that companies use a browser with so-called virtualised instances for the first time. This is because most attacks enter company networks via the internet. Such a browser can systematically keep attackers out of the network and is therefore a particularly effective protection.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 3 | Pages 14-16
Leveraging Data Treasures, Protecting Data Privacy

Leveraging Data Treasures, Protecting Data Privacy

Adding value with secure AI solutions
Detlef Houdeau
Artificial Intelligence (AI) can make a major contribution to the future viability of our economy and society—whether by improving existing processes or new products and services that promise greater efficiency, more robust structures and more climate protection. At present, however, SMEs in particular are still reluctant to use AI systems. The frequently cited reason is that data protection hurdles appear to be too high. This article discusses the opportunities of data-based value creation. The central question is how AI applications in industry can generate economic added value from data while maintaining data protection and security.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 3 | Pages 24-27
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