Logistics

Increasing Supply Chain Resilience with Reverse Logistics

Increasing Supply Chain Resilience with Reverse Logistics

Hypotheses for a value model
Jürgen Hamann ORCID Icon, Christoph Wenig ORCID Icon
Manufacturing companies incorporate reverse logistics as a building block of the circular economy for greater sustainability. Case studies show that this can result in strategic opportunities. This article summarizes an analysis of expert interviews on the increase in supply chain resilience attributed to reverse logistics. Potential benefits are highlighted, and companies are encouraged to examine the approach and implement innovative solutions. The result is a hypothesis-based value model that serves as an orientation aid for decision-makers.
Industry 4.0 Science | Volume 41 | 2025 | Edition 1 | Pages 34-40
Computer Use in Industrial Business Processes

Computer Use in Industrial Business Processes

A systematic literature review of the last 40 years
Norbert Gronau ORCID Icon
The most important value-adding industrial business processes are product creation and order processing. For 40 years now, Industry 4.0 Science and its predecessor titles have supported the development and implementation of the software used in these industrial business processes. In honor of the journal’s 40th anniversary, a systematic literature review is carried out to identify trends that played a role in the past but no longer do today. The research provides some surprising insights into the topics that have been important in the last 40 years – as well as those that will remain relevant in the future.
Industry 4.0 Science | Volume 41 | 2025 | Edition 1 | Pages 8-14 | DOI 10.30844/I4SE.25.1.8
Real-time Reactions for Automated Guided Vehicles (AGV)

Real-time Reactions for Automated Guided Vehicles (AGV)

Monitoring and controlling with long latencies
Dominik Augenstein
The constant advance of digitalization confronts companies with new challenges and opportunities. Immediate data processing is now ubiquitous and the advantages are obvious. However, broadband coverage in Germany is insufficient, which makes it difficult to improve processes. Mathematical approaches and machine learning enable timely optimization and smooth production.
Industry 4.0 Science | Volume 40 | 2024 | Edition 6 | Pages 56-62
Resilience and Sustainability in the Supply Chain

Resilience and Sustainability in the Supply Chain

How SMEs can prepare for the changes to come
Jonas Fuchs, Lasse Bo Ladewig, Wolfgang Kersten ORCID Icon
More than 99% of German companies are small and medium-sized enterprises (SMEs), which therefore represent an important part of industrial supply chains. New regulations are increasing the pressure on companies to create transparency along the supply chain so that the role of SMEs is also coming into focus. However, they are often confronted with limited financial and human resources. Based on a quantitative survey and a literature review, this article deals with the question of what SME-friendly approaches could look like.
Industry 4.0 Science | Volume 40 | 2024 | Edition 1 | Pages 57-62
Optimization of Line Feeding Strategy for the Assembly Line

Optimization of Line Feeding Strategy for the Assembly Line

A holistic approach for improving the intralogistics in production industry
Christina Braun, Lea Isfort
The logistics industry offers numerous opportunities for data-driven solutions, such as improving the part feeding problem in assembly line industries. A data-based approach for will lead to an improvement of cost-effectiveness through optimized processes, resource utilization, and consistent supply to the assembly line. The generated approach is a mixed integer programming model which considers limited storage space, uses constraints, and various cost factors related to transport, replenishment, and picking.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 58-61
Automated Detection of Fragile Production Behavior

Automated Detection of Fragile Production Behavior

Simple early detection of deterministic-chaotic behavior in highly available production systems
Martin Manns ORCID Icon, Denny Höhnen
Routing flexibility enables a robust, resilient design of production. However, in highly available, decentralized controlled production systems with cyclic material flow, it can reduce efficiency due to undesired deterministic-chaotic behavior. An automated method for measuring such behavior is presented. It is tested with a double conveyor belt laboratory system. An embedded system simplifies data acquisition. Results indicate that the method is usable for manual and automatic production systems. It has the potential to recognize modeling deficiencies in Industry 4.0 control with IEC 61499. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 17-21
Applying Numerical Indices to Measure and Increase Resilience

Applying Numerical Indices to Measure and Increase Resilience

Approaches to analyzing resilience in supply chains
Saskia Sardesai ORCID Icon, Lucas Schreiber
An increased awareness of risks and rising incidents prompt companies to enhance the resilience of their supply chains. While various measures can be employed to increase resilience, a parallel consideration of a multitude of metrics is necessary to explicitly evaluate its impact on supply chain resilience. The paper presents approaches that facilitate the comparability of resilience across alternative supply chain designs by combining various metrics into a single numerical index. Additionally, innovative technologies are highlighted that can help to create resilient supply chains.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 4 | Pages 45-49 | DOI 10.30844/IM_23-4_45-49
Strategic Options for Resilient Value Chains

Strategic Options for Resilient Value Chains

Ein Vergleich lokal integrierter und global diversifizierter Alternativen
Steffen Kinkel ORCID Icon, Dennis Richter
Global supply and value chains have become increasingly complex and interconnected, exposing companies to a range of risks caused by natural disasters, political instability, or global pandemics. The paper outlines some strategic options for companies to improve the resilience of their value chains, namely expansion of local or global supply chains, regional concentration or global diversification of production capacities, and insourcing or outsourcing activities. Data of 314 German manufacturing firms is used to investigate the influence of different digital technologies and adaptable production systems.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 4 | Pages 31-35 | DOI 10.30844/IM_23-4_31-35
Digitalization of Logistics Processes on Construction Sites

Digitalization of Logistics Processes on Construction Sites

Concept for the creation and use of a digital shadow for construction site logistics in mechanical and plant engineering
Sigrid Wenzel ORCID Icon, Daniel Vössing ORCID Icon, Deike Gliem ORCID Icon, Christoph Laroque ORCID Icon, Wibke Kusturica ORCID Icon
The planning of logistics processes and their efficient implementation are decisive competitive factors for customized plant construction. On the construction site, however, the collection of logistics data is often neglected, preventing the project planner from building a reliable database. Related information gaps can be closed with the help of a digital shadow that collects logistics-relevant data (partially) automatically, stores them in a consistent manner and makes them available to project management. This article describes the first important results of a research project on information and communication processes in construction site logistics and explains their vital role in the development and use of a digital shadow.
Industry 4.0 Science | Volume 39 | 2023 | Edition 1 | Pages 53-58 | DOI 10.30844/I4SE.23.1.53
How to Gaia-X?

How to Gaia-X?

Erik Konietzko, Cansu Tanrikulu, Florian Schwarz, Kai Lindow ORCID Icon, Christoph Heinbach, Henning Gösling, Oliver Thomas
How can organisations successfully participate in interoperable and decentralised data ecosystems? To answer this question, this paper presents a process model using the transport logistics industry as an example, which methodically describes the collaborative and interdisciplinary development of services in the decentralised federated data ecosystem Gaia-X [6]. The model supports evaluation and decision-making processes within the development of decentralised data ecosystems in practice and helps IT decision-makers and participating stakeholders to identify the relevant communication flows in a use case. It can be used independently for specific use cases, data spaces and connector technologies and ensures that the communication and alignment of individual development statuses in a decentrally organised framework is comprehensible and understandable for the overall context.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 54-58 | DOI 10.30844/IM_22-6_54-58
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