Sustainability

Green Productivity for the Circular Economy

Green Productivity for the Circular Economy

Potentials through digitalization
Verena Luisa Aufderheide ORCID Icon
The Circular Economy (CE) is a form of economy that extends the use of products and resources by developing the linear supply chain (SC) to a circular SC. However, additional input factors are required for remanufacturing and recycling. Furthermore, these processes generate additional environmental impacts. It is questionable whether the circulation of products is only worthwhile from an economic point of view or whether it also brings environmental advantages. An approach that relates the economic impact of a product to its environmental impact is the Green Productivity Index (GPI). In the following, this index is developed for CE. Furthermore, this article examines how digitalization can positively affect the Green Productivity (GP) of CE. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 2 | Pages 41-45
Climate Neutrality and Digitization

Climate Neutrality and Digitization

A maturity-based approach to identifying measures in production
Stefan Seyfried ORCID Icon, Lukas Martin, Matthias Weigold
Climate neutrality and digitisation are two future-relevant and interlinked topics that are gaining in importance for manufacturing companies. However, especially for small and medium-sized enterprises (SMEs), it is often difficult to get an overview of the concepts and practical measures in these fields. This article presents a maturity model that offers companies practical assistance in combining the goals of climate neutrality and digitisation and in identifying suitable (digitisation) measures for the company to support the transformation towards climate-neutral production. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 2 | Pages 51-55
Digital Twins for Circular Economy

Digital Twins for Circular Economy

Enabling Decision Support for R-Strategies
Janine Mügge, Inka Rebekka Hahn, Theresa Riedelsheimer ORCID Icon, Johannes Chatzis
Digital twins (DT) for circular economy (CE) offer a promising approach as part of digital data ecosystems for more sustainable value creation. By mapping and analyzing product, component and material specific data along the li- fecycle, it is possible to address current challenges such as climate change and resource scarcity. Within Catena-X, specific solutions based on this cross-company exchanged data and information are developed. Here, the “R-Strategy Assistant” is presented. It is an application, which identifies the best CE-Strategy based on DT data at the end of a vehicle's life.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 42-46 | DOI 10.30844/IM_22-6_33-36
Design of Circular Business Models

Design of Circular Business Models

Insight from Science and Practice
Jonas Brinker ORCID Icon, Jan Heinrich Beinke, Oliver Thomas, Ingo Westphal, Klaus-Dieter Thoben ORCID Icon, Barbara Gleede
Resource-efficient businesses have become increasingly important for companies in recent years. Although this brings new potentials, the practical implementation in the form of suitable business models is accompanied by challenges. In this paper, we will examine which concepts and methods already exist for the development of circular and resource- efficient business models and show approaches and solutions from science and practice using the example of interdisciplinary research projects.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 9-13 | DOI 10.30844/IM_22-6_9-13
Information Exchange in the Maritime Supply Chain

Information Exchange in the Maritime Supply Chain

Johannes Schnelle ORCID Icon, Wolfgang Kersten ORCID Icon
Blockchain is seen as an enabler to increase the efficiency, transparency, and security of information exchange in supply chains. An important application area is maritime logistics, as blockchain facilitates the digitalization of documents and increases the efficiency of the processes. In this article, we elaborate on the example of temperature-controlled container transports the potential for adopting blockchain and the requirements to be considered from the technological and organizational environment.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 29-32 | DOI 10.30844/IM_22-6_29-32
Challenges of Digitalization in Intermodal Transport

Challenges of Digitalization in Intermodal Transport

Data models for the exchange of planning data for regional freight tram transportation
Jonas Ziegler, Ingo Dittrich, Theo Lutz ORCID Icon, Lisa Fäßler
The logistics industry is currently being confronted with various challenges, such as the lack of drivers, global disruptions to supply chains and the environmental impact of freight transport. In a comparison between the modes of transport, this speaks for a greater shift in freight transport from road to rail. In this article, the challenges for this shift are examined and it is shown to what extent data models can simplify the transport planning and economic assessment of regional freight tram transports. (Only in German)
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 59-62
Work 4.0 – Logistics Working World of Tomorrow

Work 4.0 – Logistics Working World of Tomorrow

Effects and consequences of digitalization on the logistical working world
Tobias Reichert, Marc Lorscheider
In the course of digitalization, more and more digital technologies are being used in various areas of logistics. The occupational field is changing and problem-solving and abstracting skills as well as competencies in dealing with IT systems and data are increasingly required. Based on a literature review, this article provides an overview of the current situation in the logistics working world. Effects of digitalization as well as requirements and future competencies in the working world 4.0 are highlighted. Finally, a guideline for the management level is derived in order to promote the acquisition of competencies. (Only in German)
Industrie 4.0 Management | Volume 38 | 2022 | Edition 5 | Pages 30-34
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
Supporting Maintenance and Service Operations at LNG

Supporting Maintenance and Service Operations at LNG

Human-centered development and evaluation of an AR-assistance system
Hendrik Stern ORCID Icon, Michael Freitag ORCID Icon, Michael Lütjen ORCID Icon, Rieke Leder
The use of LNG propulsion in ships has significant environmental benefits but also creates chal- lenges in handling. Due to safety regulations, the maintenance of the LNG ship systems requires a high degree of reliability and accuracy. Thus, this paper deals with the development and evaluation of an AR-assistance system. The system based on an Android smartphone enables users to access maintenance instructions and manuals and supports the work process step by step through context-sensitive virtualizations. Its evaluation was conducted as a combined quantitative and qualitative user study.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 2 | Pages 6-10
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