process analysis

Motion-Mining Compared to Traditional Lean Tools

Motion-Mining Compared to Traditional Lean Tools

Sensor-supported analysis of manual processes in manufacturing and logistics
Hendrik Appelhans, Christopher Borgmann, Carsten Feldmann
Motion-Mining® is a technology that uses motion sensors and pattern recognition to enable automated process mapping and analysis of manual work. This article evaluates the advantages and limitations of its use in manufacturing and logistics processes. To this end, Motion-Mining® is compared with traditional lean management tools used to analyze manual activities. Experiences derived from four use cases provide decision support for selecting the appropriate method for a specific use case.
Industry 4.0 Science | Volume 40 | Edition 2 | Pages 24-31
Potentials of Innovative Handling Technologies in Seaports

Potentials of Innovative Handling Technologies in Seaports

Ökonomische und ökologische Perspektiven von magnetbasierten Handhabungstechologien im Umschlag von Stahlprodukten
Bernd Scholz-Reiter ORCID Icon, Michael Görges, Wolf Lampe
The handling of general cargo in seaports is a time-consuming and resource-intensive activity. The implementation of novel handling technologies opens new potential to improve the handling process and its sustainability as well. This paper introduces a magnet system based approach for handling steel products in seaports and addresses its economical and ecological potentials. It presents a detailed event driven process chain model (EPC) of the handling process and an analysis of the corresponding potentials. Besides process related potentials like decreasing operative costs or increasing the process stability, this paper presents the capability of this new technology to reduce the ecological effects by saving dunnage.
Industrie Management | Volume 27 | 2011 | Edition 6 | Pages 38-42