Projektlogo Kreislaufwirtschaft: Entwicklung einer innovativen Methode zur Herstellung, Nutzung und Recycling von biologisch abbaubaren Verpackungen aus Myzel-Verbundwerkstoffen

MycelCycle

Integrated material, process and product development methodology for product life-cycle optimized mycelium-based packaging products as part of circular economy

Duration 01.02.2024 - 31.01.2028, Funded by Volkswagen Stiftung

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Sustainable and closed material cycles made from biogenic and recycled resources are becoming increasingly relevant as raw materials become limited. The goal of the project is to develop an integrated methodology for the material, process, and product development of mycelium composite materials using the example of cooler boxes. Mycelia has the potential to transform biomass with its thread-like hyphae into compact structures in just a few days. The project addresses current challenges in the product life cycle in order to design optimized material cycles using mycelium technology. The research framework includes the use of AI-based methods for identifying material combinations and for quality assurance.

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Produkt- und Prozessentwicklung, Nachhaltigkeit, Energie und Umwelt, Produzierendes Gewerbe, Maschinelles Lernen / Künstliche Intelligenz, Ökobilanzierung

Projektlogo Entwicklung autonomer Fahrprozesse und dynamischer Lager-  und Logistikkonzepte auf Automobilterminals

AutoLog

Development of autonomous driving processes and dynamic storage and logistics concepts on automotive terminals

Duration 01.01.2024 - 31.12.2026, Funded by BMDV

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The logistics services provided by seaports and inland ports are crucial for German imports and exports and for the global distribution chains of the German automotive industry. Vehicle compounds serve as hubs that are an integral part of the German automotive industry's finished vehicle logistics. Despite this central role, vehicle compound operators face challenges such as increasing handling volumes, limited terminal space, staff shortages and growing demands for efficiency and flexibility.

The AutoLog research project aims to explore and realise optimisation potential through the use of automated driving at vehicle compounds. The project aims to increase the efficiency and flexibility of terminal operations through technological developments for the digitalisation of processes and the automation of driving movements.

The main objectives of the project are

Suitability of automated driving at vehicle compounds: Investigation of the process and infrastructure requirements at the vehicle compound for the successful implementation of automated driving.

Technical infrastructure and sensors: Developing the design of the technical infrastructure and sensor technology to ensure robust and safe vehicle control.

Human-machine interactions: Investigating how human-machine interactions can be designed to enable intuitive and safe interaction between automated and non-automated processes.

Optimisation potential for storage and logistics processes: Identification of optimisation potential for related storage and logistics processes through the introduction of automated driving.

By specifically researching and implementing these objectives, the AutoLog project aims to overcome the challenges of vehicle compounds and sustainably improve the future of finished vehicle logistics.

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Mensch-Technik-Interaktion, Prozessoptimierung und -steuerung, Maritime Wirtschaft, Automotive, Prozessmodellierung und Simulation, Drahtlose Kommunikationstechnologien und Sensorik

Projektlogo Komplementäre Nutzung mathematischer und ereignisdiskreter Modelle zur Lösung komplexer Planungs- und Steuerungsprobleme in der Offshore-Baustellenlogistik

OffshorePlan II

Complementary application of mathematical and discrete-event models to solve complex planning and control problems in offshore construction logistics

Duration 01.01.2024 - 31.12.2025, Funded by DFG
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Offshore construction logistics for wind farms define a complex planning and control problem for which there are no established methods. Discrete-event simulation methods or mathematical optimizations are used, which offer their advantages and disadvantages in terms of runtime, level of detail, and optimality constraints.

After the first project phase has laid the foundations in different models and a transformation framework, the second phase focuses on complementary use. In addition to increasing the problem complexity, a cascading framework will be developed that selects suitable model variants and combines them concerning necessary levels of abstraction.

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Prozessoptimierung und -steuerung, Maritime Wirtschaft, Windenergie, Prozessmodellierung und Simulation

Projektlogo Entwicklung eines gesundheitsförderlichen Montagearbeitsplatzes mit adaptiver Materialbereitstellung und individueller Ergonomieoptimierung

Adapt2Mount

Development of a health-promoting assembly workplace with adaptive material provision and individual ergonomic optimization

Duration 01.09.2023 - 31.08.2025, Funded by BMWK
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As part of the research project, a health-promoting assembly system is being developed for individual ergonomic optimization with adaptive material provision. A sensor system consisting of wearables and cameras records relevant data during work. The central element uses a digital twin that maps a 3D simulation of the work process, including human and assembly system models based on the recorded actual data. Based on the data, ergonomic optimizations are made, whereby the assembly station is initially set up, and the material arrangement is continuously dynamically adapted to the process execution of the individual employee during assembly.

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Mensch-Technik-Interaktion, Prozessoptimierung und -steuerung, Produzierendes Gewerbe, Digitaler Zwilling

Projektlogo Erfassung und KI-basierte Analyse von Ergonomiedaten in der manuellen Montage mittels körpernaher Sensorik und maschineller Sehverfahren

ErgoKI

Detection and AI-based analysis of ergonomic data in manual assembly using wearbles and machine vision techniques

Duration 01.09.2023 - 30.04.2025, Funded by Land Bremen

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The primary objective of the envisaged project ErgoKI is the development of a system designed for the acquisition and AI-driven analysis of ergonomic data within the context of manual assembly, employing wearables and machine vision techniques. Through the utilization of various sensors and the development of an underlying data layer, a process modelling is carried out which enables the analysis of ergonomics and productivity within the domain of assembly. The key performance metrics are visualised within an intuitive human-machine interface and individual suggestions for improvement are derived. This helps to develop a better understanding of the individual requirements of employees and to implement ergonomic improvements in a more targeted manner.

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Mensch-Technik-Interaktion, Produzierendes Gewerbe, Maschinelles Lernen / Künstliche Intelligenz, Training & Qualifizierung

Events:
Artificial Intelligence
April 8, 2024, BIBA, Bremen
Supply Chain Day
April 18, 2024, BIBA, Bremen
Girls‘Day im BIBA
April 25, 2024, BIBA, Bremen
AI for Lean IoT
April 30, 2024, BIBA, Bremen
AI for Lean IoT
June 7, 2024, online

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