Translate

Digital Contract Management in the Industry

Digital Contract Management in the Industry

Robin Schmeisser
Digitalisation stands for efficiency and process optimisation. It is therefore all the more surprising that even larger medium-sized companies often do not yet have a digital solution for their contract management - the foundation of all economic activity. Instead, long email chains, inconsistent documents and unclear responsibilities dominate the processes from drafting to signing a contract.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 3 | Pages 56-57
Focus on Employees

Focus on Employees

Clear rules and processes as the basis for independent ordering of indirect requirements
Michael Petri
eProcurement systems enable employees to handle the purchase of C-parts and indirect requirements independently with a minimum of work. This article explains how this can free up space for the strategically decisive procurement of A and B parts. The basic idea is to outsource the operative procurement activity to those who have the demand - so-called demand carriers. Decisive for the success of this approach is the right mix of individual freedom and sufficient control. Here, eProcurement solutions offer various levers that the purchasing department can configure according to the respective company situation. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 3 | Pages 60-61
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
I4S 1/2023: Digital Transformation (Special Issue)

I4S 1/2023: Digital Transformation (Special Issue)

Paving the way to the 4th Industrial Revolution
Industry 4.0 and Smart Factory have become a real source of hope and are the technological answer to some of the biggest challenges of our time: sustainable production, global interconnections, intelligent exchange of knowledge. This special issue discusses research questions relating to process improvement, artificial intelligence and factory software.
Sustainable and Intelligent Additive Manufacturing

Sustainable and Intelligent Additive Manufacturing

Early Recognition of Manufacturing Defects in 3D-Printing with Artificial Intelligence
Kai Scherer ORCID Icon, Sebastian Bast ORCID Icon, Julien Murach, Stephan Didas, Guido Dartmann, Michael Wahl
Additive manufacturing is an increasingly important manufacturing technology with huge economical potential. However, its popularity is accompanied by high material and time losses, as defects are often detected at a very late stage. One solution for a more sustainable production is the automated detection of manufacturing defects using artificial intelligence. This article describes the digitization of the defect detection process in additive manufacturing using a system based on a neural network. In addition to the steps for automated defect detection, system performance is also discussed.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 2 | Pages 56-59
Sustainability in SME through Digitalization

Sustainability in SME through Digitalization

SME Use Cases for Improving Sustainability with Digital Technologies
Henry Ekwaro-Osire, Stefan Wiesner, Dennis Bode, Alexandra Pehlken
The impact of rapid technological change in a competitive global market is reaching small and medium-sized enterprises (SME) at an increasing rate; digitalization increases the interconnectedness among manufacturers, products and customers. Within this context, SME need to improve both their business processes and their technological capabilities in order to achieve internal and external sustainability goals, to be successful in the marketplace and to meet customer needs. This article discusses the opportunities of digitalization to improve sustainability by presenting two use cases from SME.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 2 | Pages 36-40
Potentials of Digital Technologies in Scope 3-Carbon Accounting

Potentials of Digital Technologies in Scope 3-Carbon Accounting

Hannah-Deborah Harbich, Johannes Schnelle ORCID Icon, Wolfgang Kersten ORCID Icon
Climate change is one of the biggest challenges facing companies. To be able to define strategies for decarbonizing their business activities, companies need to start accounting for their emissions. Calculating Scope 3 emissions is a complex, resource- intensive, and often imprecise process for companies. By using digital technologies, Scope 3 carbon accounting can become more transparent, efficient, and secure. This article highlights the potential of digital technologies in Scope 3 carbon accounting.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 2 | Pages 29-32 | DOI 10.30844/IM_23-2_29-32
1 9 10 11 29