Dominik Melcher

Project engineer
Practice Areas:
Image processing, robotics / handling, simulation, construction
+49 (0)511 279 76-223


Factory planning is an important tool for
manufacturing companies to raise their efficiency and to
maintain their competitiveness by changing market or
customer requirements. A special challenge is the acquisition
of layout data and the processing of this data in suitable
planning tools. Current approaches still measure manually
or have to transfer acquired data from laser scanners by
hand into planning tools, which leads to a high effort and
error proneness.
This paper presents a holistic concept for automated
and systematic data acquisition and processing for factory
planning processes.

3D factory planning, automated drone flight, point cloud processing, 3D layout scan

How can the restructuring of a factory layout be planned efficiently and without errors? Thanks to digital three-dimensional factory planning, the quality of planning projects can be improved and the implementation period shortened. This is demonstrated by the exemplary use of a digital tool in a project of the Mittelstand 4.0 Kompetenzzentrum Hannover at Zerspanungstechnik Kuhn Edelstahl GmbH.


factory planning, digital factory, digital twin, drone

The structured and future-orientated planning of factory layouts is an important factor in maintaining the competitive ability. However, conventional planning methods with 2D Layouts reach their limits because they can no longer map the increasingly complex factory structures in detail. Alternatives are offered by 360° environmental scanning methods, which currently only serve as a template for postmodeling. This article presents a method for planning directly in the factory image. The aim is to make the factory planning process more effective and less error-prone.

3D-factory layout, factory planning, production planning, point cloud, point cloud processing

Drones are often used in outdoor areas. Though drone are able to do more, e.g. to measure and digitalize the indoor layout structure of production environments. Further more it is possible to plan the production structure directly in the digital model with image processing algorithms. The combination of both step allows a faster and more efficient production planning process. 

drone, layoutscan, production planning, digitalization

Abstract: For factory planning projects the layout capturing and layout processing process need a huge amount of effort, because they are typically done by hand. These processes could be accelerated and optimized by using a drone and automated analysis algorithms. Furthermore, this article shows a way to raise the digitization level for industrial processes. The key aspect lies on the usage of a drone in indoor environment and the processing of three-dimensional point cloud models for factory planning processes.

drone, factory planning, 3D-factory layout, object recognition

Structured factory planning is a key to ensure the competitiveness concerning to the increasing pressure from globalization and the high market dynamic. Companies though avoid to do factory planning projects, because of the high effort. For this reason, the processes of factory layout capture and factory layout assessment are in need of improvement in order to increase the efficiency, which will be achieved through new technologies and a semi automation of the processes.

factory planning, drone, photgrammetry, laserscan, image data processing

The article deals with the development of an automated 2D- and 3D-layout-acquistion technology. For that purpose, a semi-autonomous UAV is to be used, to acquire 2D- or 3D-aerial images. An automated stitching or mapping algorithm can match the images together and create a scale image of the factory layout. The automation will also be able to interpret the scanned layout, e.g. detection and measurement of different functional areas. The acquired data can directly be used for factory planning, e.g. creating digital 3D-images or physical 3D-printed images.

drone, threedimensional factory layout, object recognition in point clouds, factory planning

Future factory planning projects are much easier and cheaper than today. With a drone it es possible to scan a factory layout during the flight in a short time. To achieve this benefits, researchers of the IPH are developing a new factory planning method.

drone, threedimensional factory layout, object recognition in point clouds, factory planning

Research projects