lean tools

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
Lean IT

Lean IT

Applicability of well-proven methods of lean management in IT departments
Tobias Fischer, Benedikt Schmieder
The use of well-proven principles and methods of Lean Management in the IT departments of companies can be regarded as feasible and reasonable by now. But for the breadthways application there is a lack of a connection between Lean tools and the problems in modern IT departments. Within the scope of the analysis it can be shown that particular Lean methods can effectuate a positive outcome in precise fields of action, as well as certain IT subareas in whole can benefit from the use of established Lean methods.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 3 | Pages 45-48 | DOI 10.30844/I40M_20-3_S45-48