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Using Process Mining to Improve Logistics Performance in Production

Using Process Mining to Improve Logistics Performance in Production

An application from customized hydraulic component manufacturing
Christoph Koch, Sarveshwaran Murugan, Heiko Berchtold
Short delivery times are essential in competitive markets. In addition to product selection and quality requirements, customers are also demanding more and more from logistics. However, high product variance complicates the situation, as it involves complex material flows and therefore leads to long throughput times. However, a four-step process analysis and modeling can help to reduce throughput times and strengthen the competitiveness of companies from within.
Industry 4.0 Science | Volume 40 | Edition 3 | Pages 54-60
Shaping Digital Change in Companies

Shaping Digital Change in Companies

Using the living lab approach and the backcasting method to develop a vision
Annalena Präger, David Koch ORCID Icon, Julia Brandt, Sebastian Schmid
Alongside sustainability, sustainability management is also gaining in importance. At the same time, digitalization continues to advance, embedded in a complex interplay of economic, ecological and social challenges. A sustainability platform that not only records relevant company data, but also ensures the necessary security, can unleash synergies between transformative trends to foster sustainable and efficient corporate development.
Industry 4.0 Science | Volume 40 | 2024 | Edition 3 | Pages 61-66
Transformation in the Automotive Industry

Transformation in the Automotive Industry

Overcoming employee-related challenges with effective leadership
Stefan Süß ORCID Icon, Ingo Klingenberg ORCID Icon, Maximilian Kellerer, Phillip Nguyen
Transformative forces present companies with enormous challenges. At the same time, new forms of collaboration and new roles and responsibilities are emerging. Due to the risks associated with change, many employees hold on to old habits and work processes, which can slow down positive developments. The challenge for managers is to recognize this resistance, prevent it and turn it into acceptance or even proactive support.
Industry 4.0 Science | Volume 40 | Edition 3 | Pages 21-26
GAIA-X Maturity Model 

GAIA-X Maturity Model 

Assessing the future viability of cross-company 
data exchange
Maximilian Weiden, Jokim Janßen
In order to cope with growing customer requirements and the associated increase in complexity, companies are opening up their value chains, reducing their vertical integration and increasingly entering into collaborations. Cross-company data exchange along the supply chain is thus becoming a key component for competitiveness and the realization of customer-specific solutions. For this reason, the European Union has launched the GAIA-X project, which aims to create the next generation of data infrastructure for Europe and its companies. The GAIA-X maturity model offers an approach for classifying companies into different development stages and provides concrete requirements for further development along a predefined development path towards becoming a fully-fledged participant in the federated GAIA-X data infrastructure.
Industry 4.0 Science | Volume 40 | 2024 | Edition 3 | Pages 14-20
Warehouse Inventory Detection with Airship Drones

Warehouse Inventory Detection with Airship Drones

(Semi-)autonomous aircraft for inventory and quality inspection of pallets in block storage facilities
Dmitrij Boger, Michael Freitag ORCID Icon, Britta Hilt, Michael Lütjen ORCID Icon, Benjamin Staar ORCID Icon
The complex dynamics of block warehouses pose major challenges to the manual stocktaking process. Frequent relocation of pallets, crates or pallet cages without fixed storage locations leads to a time-consuming and error-prone inventory process, wherein goods often have to be searched for and damages due to improper storage can occur. The use of (semi-)autonomous drones offers a promising solution to enable automated stocktaking, especially if these are appropriately equipped for optical goods detection.
Industry 4.0 Science | Volume 40 | 2024 | Edition 2 | Pages 56-63
Energy Efficiency Through Intelligent Electricity Data Acquisition

Energy Efficiency Through Intelligent Electricity Data Acquisition

Wireless retrofit solution based on IoT technologies and open-source software for existing industrial buildings
Sergej Kreber, Kevin Kutzner, Dieter Uckelmann ORCID Icon
Facility managers for industrial properties are faced with the challenge of optimizing the energy efficiency of their facilities in the face of ever-increasing energy demand and rising energy costs. Digital processes that enable the comprehensive monitoring, analysis and control of energy demand offer an effective way to reduce costs, increase energy efficiency and make optimal use of resources. Based on IoT technologies and open-source software, a cost-effective, wireless and flexible retrofit solution for real-time energy data collection has been developed.
Industry 4.0 Science | Volume 40 | Edition 2 | Pages 87-93
Digital Platform Frameworks for Manufacturing Companies

Digital Platform Frameworks for Manufacturing Companies

A review
Marcel Rojahn ORCID Icon
In recent years, digital platforms have established themselves as a central concept in the IT field. Due to the wide variety of digital platforms available on the market, there is still a need for clear comparison with criteria to enable interested parties to select, change, operate and further develop these platforms. The following paper aims to contribute to the facilitation of this comparison by undertaking a systematic literature review of digital platform frameworks in the context of the Industrial Internet of Things (IIOT) for manufacturing companies and thus providing a basis for a number of potential ways to effectively compare current digital platforms and ecosystems.
Industry 4.0 Science | Volume 40 | 2024 | Edition 2 | Pages 8-15 | DOI 10.30844/I4SE.24.2.8
Circular Economy

Circular Economy

A view from the perspective of entrepreneurship
Annette Henn ORCID Icon, Beate Langer
In order to exploit the full potential of the circular economy, companies need to develop holistic solutions and rethink their business models. With this in mind, a summer school entitled Circular Economy was organized by Merseburg University's start-up service in September 2023 with the aim of developing innovative ideas for new business models with a focus on circular models. Current trends in materials science were used as conceivable scenarios for circular forms of economic activity in the idea generation process. Entrepreneurship is an interface function here. Entrepreneurs not only want to run companies, they also want to bring about change with new products, services and business processes.
Industry 4.0 Science | Volume 40 | 2024 | Edition 1 | Pages 22-29
Sustainable Materials as a Strategy for the Future

Sustainable Materials as a Strategy for the Future

Key elements for corporate materials management
Dirk Scheer ORCID Icon, Janine Gondolf ORCID Icon, Olaf Toedter ORCID Icon
The flow of materials along regional and global value chains has far-reaching environmental, economic and social effects. The sustainability profile of materials should therefore play a central role in management. Adapting material flows to adhere to sustainable principles requires an integrated approach that includes all areas of the company. The decisive factor is that sustainable materials management ultimately requires the entire life cycle of a product to be taken into account – from design and produc- tion through to sales and aftercare measures.
Industry 4.0 Science | Volume 40 | 2024 | Edition 1 | Pages 44-49
Sustainability in Industrial Manufacturing

Sustainability in Industrial Manufacturing

Resource-efficient circular economy through the use of a pellet 3D printer
Bruno Gallace, Michael Blug, Adrian Huwer ORCID Icon, Michael Mattern, Michael Wahl
In additive manufacturing – which is also known as 3D printing – plastic waste is produced, for example in the form of required support structures or faulty prints. One option for resource recirculation in additive manufacturing is direct use in a pellet 3D printer that incorporates fused granulate fabrication (FGF). The elimination of the filament production process step reduces the manufacturing time and the energy required for recirculation.
Industry 4.0 Science | Volume 40 | 2024 | Edition 1 | Pages 14-21
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