Examining the influence of „Industry 4.0“ on Factory Layout Planning
In the context of ongoing industrial digitization, new technologies are introduced to make production processes more efficient.
However, the digital data, which are created and processed by cyber-physical systems, promise improvements as well for adjacent areas, e.g. the restructuring of factories. Thus, the trend towards "Industry 4.0" influences factory planning and requires adapted methods for this task.
In this project, the prospects of digitized factory planning are identified and examined, based on a literature study as well as an empirical investigation .
The results will provide a methodical guideline for state-of-the-art factory layout planning and identify further research areas for adaptable digital factories.
Duration 20.11.2018 - 31.10.2019, Funded by Bremer Landesprogramm
Intelligent Information Technologies for Process Optimization and Automation in Inland Ports
In Binntelligent, digital services as well as intelligent processes, procedures and information technologies for the optimization of trimodal logistics and transhipment processes in inland ports and the improved collaboration between inland and seaports are designed, implemented and evaluated in the field of application. It creates a cross-company visibility and transparency of decision-relevant information that allows predicting events in the supply chain.
For this purpose, an information system for (semi-) automated information distribution, operative process support and predictions will be developed. In addition to event predictions, forecasting capability in inland ports is achieved by simulation-based optimization of trimodal transhipment, which processes real-time real data and enables adaptability in synchro-modal freight traffic. Binntelligent considers logistics processes for containers and bulk goods in inland ports as well as the pre- and post-carriages. The planned technologies are designed for use in the Weser and Mittelland Canal shipping areas with the ports of Hanover, Braunschweig, Bremen and Bremerhaven and will subsequently be implemented for application-oriented testing and evaluation.
Duration 01.10.2018 - 30.09.2021, Funded by BMVI
Autonomous assistance system to support HRC assembly processes
The central goal of the project is the development of an autonomous assistance system close to the body for human-robot collaboration in assembly, which is particularly characterized by system neutrality. The aim is to enable MRK-capable assembly processes within various applications in medium-sized companies. Exemplary, the potential of this new type of Assistance systems in terms of flexibility, cognitive relief, ergonomics and safety is being tested and evaluated in application cases. On the one hand, the assembly of transformers during the production process is being considered and on the other hand the welding of mechanical components is being focused in the welder training.
The overall objective of the subproject of BIBA - Bremer Institut für Produktion und Logistik GmbH includes the development of an autonomous sensor system close to the body as well as a sensor system close to the robot or machine, which will be fused in a sensor framework and thus enable human-robot collaboration in assembly. Furthermore, a procedure/method for the design of MRK systems is to be developed.
Duration 01.10.2018 - 30.09.2020, Funded by BMWi
Smart Outdoor Lighting Concept in a Port Environment
The aim of the research project "OBELiSK - Intelligent Outdoor Lighting Concept in a Port Environment" is to derive motion patterns or motion prognoses from operational data and DGPS coordinates of the port handling equipment or via smartphones using algorithms and thus enable intelligent lighting of a terminal by dimming LEDs. In addition, it must be possible to illuminate certain areas for special events via a central control system. The consortium estimates that lighting can save around 20% of current energy consumption.
Duration 01.09.2018 - 31.08.2021, Funded by BMVI
Multi-Criteria Optimization of Position and Configuration of 3D Sensors through Virtual Reality for Flexible Automation Solutions in Logistics
The design of flexible handling robots and autonomous vehicles for logistic processes is a great challenge due to heterogeneous objects, variable environmental conditions and complex properties of the 3D sensor technology.
In the VirtuOS project, a freely available online tool is being developed with which application scenarios in virtual space can be freely configured and 3D sensor data realistically simulated. The objective of the project is the development and integration of a multicriteria optimization, which delivers application-specific optimal sensor configurations depending on different optimization criteria. SMEs such as automation companies, system integrators and suppliers of sensors and image processing solutions can thus be supported in the selection and configuration of sensors for new working stations or robots.
Duration 01.06.2018 - 31.05.2020, Funded by AiF