smart manufacturing

Technologies for Assisting Manual Order Picking

Technologies for Assisting Manual Order Picking

From conventional pick-by systems to AI-driven manual picking assistance
Md Khalid Siddiqui ORCID Icon, Jonathan Kressel ORCID Icon, Jürgen Grinninger
Manual picking remains common due to the high initial cost of support systems. This paper reviews existing technologies, presents an exploratory vision-based prototype, and examines existing literature that explores how combining object detection with language systems could enhance manual workflows. The findings suggest a promising, low-cost direction for worker support in logistics.
Industry 4.0 Science | Volume 41 | Edition 4 | Pages 6-19 | DOI 10.30844/I4SE.25.4.6
Digital Twins for Production

Digital Twins for Production

RAPIDZ — Resource analysis and process integration through digital twins
Christian Salzig ORCID Icon, Julia Burr ORCID Icon, Sophie Hertzog
In today’s manufacturing industry, digital twins are a key enabler for optimizing production processes and efficient resource use. However, creating digital twins is often associated with high or difficult-to-estimate costs and typically requires unknown characteristic values, such as material parameters, making practical implementation challenging. With RAPIDZ, we present a tool for creating and using digital twins that overcomes these barriers through its modular structure. The virtual modeling of physical systems enables comprehensive analysis and real-time forecasting of material flows, energy consumption and machine performance. The use of RAPIDZ increases production line efficiency, enhances flexibility and response time, and enables proactive maintenance to minimize downtime.
Industry 4.0 Science | Volume 41 | Edition 3 | Pages 6-12 | DOI 10.30844/I4SE.25.3.6
ReThink! Smart Manufacturing 2024
Start 23.06.2024 - End 25.06.2024

ReThink! Smart Manufacturing 2024

Rethink! Smart Manufacturing helps leaders in the manufacturing industry to optimize, strengthen and redesign their businesses. At ReThink! Smart Manufacturing 2024, which will take place from June 23-25 in Berlin, visitors can discuss with up to 150 executives how the latest trends and technologies in smart manufacturing, such as factory automation, AI and robotics, are impacting every aspect of business. Take part in the event and secure your ticket today!
The Asset Administration Shell in Practice

The Asset Administration Shell in Practice

Key to unified IoT integration of heterogeneous assets
Detlef Gerhard, Mario Wolf, Timo Köring, Jannick Huxoll, Julian Rolf
In practice, the integration of heterogeneous IoT components is often a complex and confusing process. The different ways of representing information about individual assets create the desire for a standardized representation. The administration shell (AAS) creates a digital exchange format for this purpose. This potential is to be exploited and put into practice as part of the EIT project "AASHub". The aim of the project is to develop a process for integrating information from the administration shell into the IoT platform "Contact Elements for IoT". (Only in German)
Industrie 4.0 Management | Volume 38 | 2022 | Edition 5 | Pages 49-52
Advanced analytics applications in smart manufacturing – A systematic literature review on their perspectives, effects, and sustainability

Advanced analytics applications in smart manufacturing – A systematic literature review on their perspectives, effects, and sustainability

André Ullrich ORCID Icon
Advanced analytics applications in smart manufacturing provide beneficiary effects such as predictive maintenance, energy optimized factories, and automized quality management of products. While the benefits and thus the sustainability effects are well investigated, the research field is characterized by many single applications with little conceptual synthesis. Therefore, this research aims to systematize the field and to identify specific sustainability themes in context of advance analytics applications. This chapter provides an overview of existing advanced analytics applications in smart manufacturing and clusters the addressed sustainability themes. Applying a systematic literature review, following the PRISMA statement, 65 different applications within four research perspective could be identified. Furthermore, ten different sustainability-related effects of the applications in smart manufacturing unfold. The content analysis resulted in 27 sustainability themes, which ...
Industry 4.0 Science | 2022 | | DOI 10.30844/WGAB_2022_7