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current Projects - IPS -


ACUSCar ACUSCar – Automated Container handling by Using Straddle Carriers
01.03.2017 - 31.12.2019, BMVI
The objective of the project ACUSCar, conducted by EUROGATE and BIBA, is to increase productivity and flexibility in container handling as well as to reduce the environmental impact and to increase the security in German seaports. Within the project automated straddle carriers are evaluated in a field test in Europe for the first time. A straddle carrier is a very flexible vehicle for stacking and moving standard containers in container terminals. Therefore, concepts are investigated and tested to ensure high productivity of the automated system. The new concepts should also be able to be transferred to other terminals. For this purpose, standard interfaces have to be developed to link IT systems from different manufacturers, such as terminal operating systems (TOS), which control the handling processes in terminals. It is also important to ensure that straddle carriers from different providers can be integrated. The BIBA contributes to the design of the practical experiments and ensures that innovative research approaches are considered. Furthermore, guidelines are being created which will help to automate mega container terminals in the future. The flagship project ACUSCar receives funding by the Federal Ministry of Transport and Digital Infrastructure (BMVI) as part of the program for innovative port technologies (IHATEC).
Kontakt:  Benjamin Knoke
Stephan Oelker
Joy Schumacher
Dirk Werthmann
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Gamification for Qualification of Offshore Wind Energy Service Technicians
01.12.2016 - 31.05.2018, Land Bremen
The competition for offshore wind energy maintenance services is steadily increasing. The quality of the service represents the decisive differentiation feature in the industry. In addition, public requirements lead to the necessity of constant further development and training of the employees. As a result of the decentralized service stations, further trainings are characterized by high logistics costs due to the transfer of employees to central qualification measures. At the same time, the weather conditions at sea, for example, frequently lead to temporal free spaces, which could potentially be used for qualification measures. The aim of the project is to improve competitiveness through the considerably more effective training of the staff. On the one hand, e-Learning enables the aspect of decentralised and temporally flexible mediation of learning contents. On the other hand, the gamification approach is designed to increase the acceptance and motivation of the staff. Results gained from the analysis of service logs are serving as input for the overall solution, in order to develop a comprehensive and useful application.

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Kontakt:  Thies Beinke
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Digital Services for Shaping Agile Supply Chains
01.11.2016 - 31.10.2019, BMWi
The main objective of SaSCh is a continuous cross-company end-to-end logistic quality monitoring of components and products during their life cycle, especially the supply chains. The project is focusing on selected supply chain processes. Using stationary and mobile sensors or cameras for collection and digitization of quality-relevant environmental data and geolocation. Generated data is stored decentral at each company and provided to relevant partners. Data is exchanged based on the EPCIS standard, being developed further on to realize an exchange of sensor and quality data. Different digital services could use the provided data to improve product and process quality in supply chains. For the automotive industry, new digital services can be implemented to extend the geographical limits of JIT- and JIS-concepts and to prevent special transports, rework, production stops or recalls. Additionally, more transparency enable a better bottleneck management and the entire system will include the developed opportunities. The German Federal Ministry for Economic Affairs and Energy (BMWi) is funding this work as part of the technology programme “PAiCE” (Platforms, Additive Manufacturing, Imaging, Communication, Engineering).

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Kontakt:  Daniel Sommerfeld
Michael Teucke
Marius Veigt
Dirk Werthmann
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CrushPack Development of a process to improve the crushability of packaging solutions made of expanded polystyrene (EPS)
01.07.2016 - 31.12.2017, BMWi
Online sales of fresh and frozen food (E-Food) requires a specialized packaging solution. Thereby, specific technical, economic and environmental requirements as well as the user experience have to be considered. Usually, this packaging is made of expanded polystyrene (EPS) and Styrofoam. The storage and disposal of these, comparably bulky EPS packaging is very difficult for private households and reduces the acceptance of E-Food. Therefore, the objective of this project is to the adaptation of the EPS packaging in order to increase its crushability and render it easier to store and dispose, while retaining its thermodynamic properties. The task of the BIBA focusses on the theoretical and simulative development of a product and process model for the integrated simulation and optimization of the manufacturing process.

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Kontakt:  Michael Lütjen
Juan Daniel Arango Castellanos
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Integrated control for the energy self-sufficient operation of large-scale infrastructure based on environmental data
01.06.2016 - 30.11.2018, BMBF
The project Geregelt aims at developing a novel integrated control system for energy and building technology of large-scale infrastructures. By the energetic optimization of the entire energy system under consideration of environmental data and energy storage technology, a significant reduction of total energy consumption can be reached. The linkage and control of internal energy sources, storages and loads can contribute to the smoothing of energy consumption and therefore increase energy self-sufficiency of large-scale infrastructures.

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Kontakt:  Juan Daniel Arango Castellanos
Moritz Quandt
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An adaptive simulation-based optimisation approach for the scheduling and control of dynamic manufacturing systems
01.04.2016 - 31.03.2018, DFG
This Brazilian-German cooperation-project aims at developing a simulation-based optimisation method for the scheduling and control of dynamic job shop manufacturing systems. The traditional approach of simulation-based optimisation is suitable for solving complex, stochastic scheduling problems. Within the project, this approach will be extended to additionally incorporate the dynamics of job shops, so that scheduling decisions and the configuration of the shop floor control can be optimised with respect to the current system state. The approach bases on the development of an iterative optimisation algorithm which allows changes of the objective function during the optimisation. In order to couple the optimisation with the physical production process, an automated method to exchange data between a manufacturing execution system and the simulation model within the optimisation approach is developed. The aim of this project is the development of a simulation-based optimisation method for the scheduling and control of dynamic job shop manufacturing systems. This method will be evaluated by means of an application to the job shop system of a Brazilian producer of mechanical parts.

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Kontakt:  Mirko Kück
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Curing-Transponder Development and integration of RFID transponders to monitor curing during the manufacturing process and for product life cycle management of fibre composite components
01.03.2016 - 28.02.2019, BMWi
In the production of fibre composite components, it is still a problem to monitor the curing process reliable. In this project a Curing Transponder will be developed, which uses RFID technology to detect the curing degree of fibre composite components within an autoclave. The project focuses on glass and carbon fibre components. The transponder can store detailed data about the component state and send this data to a knowledge-based expert system. That system will collect further data such as location, temperature, RFID signals and manufacturing constraints of various components and will find patterns in this data. Thus, it will be enabled to control the production steps more efficiently. The BIBA institute assumes the data analysis and the development of algorithms which are necessary to interpret the RFID signals to determine the degree of cure of the fibre composite components. The project is performed in cooperation with the Bremen Fibre Institute (FIBRE) and the companies tagItron (Salzkotten) and Haindl Kunststoffverarbeitung (Bremen).

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Kontakt:  Marius Veigt
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Building an IoT OPen innovation Ecosystem for connected smart objects
01.01.2016 - 31.12.2018, H2020
The Internet of Things (IoT) brings opportunities to create new services and products, reducing costs for societies, and changing how services are sold and consumed. Despite this, one of the most critical obstacles are the \\\\\\\\\\\\\\\"vertical silos\\\\\\\\\\\\\\\" that shape today’s IoT. Indeed, vertical silos constitute a serious impediment to the creation of cross-domain, cross-platform and cross- organisational services due to the lack of interoperability and openness. The upcoming H2020 bIoTope project (grant agreement n° 688203), standing for Building an IoT OPen innovation Ecosystem for connected smart objects, aims to lay the foundation for open innovation ecosystems, where companies can – with minimal investment – innovate by creating new Systems-of- Systems (SoS) platforms for connected smart objects.

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Kontakt:  Robert Hellbach
Dirk Werthmann
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„Mit uns digital!“ Mittelstand 4.0 – Kompetenzzentrum, Hannover
01.01.2016 - 31.12.2018, BMWi
Within the „Mit uns digital!“ Mittelstand 4.0-Kompetenzzentrum, Hannover, the BIBA – Bremer Institut für Produktion und Logistik at the University of Bremen - establishes its "factory of expertise" on Autonomous Control in Production und Logistics, which will offer free services to small and medium sized enterprises (SME) coping with digital logistics and Industrie 4.0. Services offered by the BIBA "factory of expertise" will include demonstration of own activities related to "Industrie 4.0" and digital logistics, instruction and training courses for SME employees as well as dialogue workshops with SME. The training and instruction courses aim to qualify SME employees to gain expertise in digital logistics. Three main topics will be covered: 1) mobile technologies and smart products 2) efficient planning and control of logistic processes und technical systems 3) adaptive systems for a changing environment. Course contents will be certified. The dialogue workshops aim at identifying potential applications of digital logistics within SME and specifying projects to implement them.
Kontakt:  Christian Gorldt
Michael Teucke
Marius Veigt
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AI supported platform for the assistance of production control for improving energy efficiency
01.09.2015 - 31.08.2019, BMWi
Current energy management systems are only able to capture the energy data and determine key indicators. Methods of artificial intelligence offer the potential to analyze this enhanced knowledge to support the decision-making process for the selection of process parameters for an energy-efficient production. This approach could increase the transparency of the use of energy by giving automated suggestions which allow to lower the primary energy demand.The KIPro research project examines the possibilities of improving energy efficiency in industrial plants with strongly varying properties of the input materials. The aim is to reduce energy demand through the use of methods of artificial intelligence, such as artificial neural networks in combination with deep learning, architectures, semantic mediators and expert systems, without compromising product quality. These systems analyses large amounts of data and identify specific patterns and rules, training and improving their own knowledge base in order to offer specific proposals for an energy-optimized process.

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Kontakt:  Hendrik Thamer
Ariandy Yoga Benggolo
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PraeVISION Development of preemptive methods towards increased work safety at ground conveyors through fusion and analysis of 2D and 3D image sensor data
01.03.2015 - 30.11.2017, DGUV
Each accident at work is a personal fate and at the same time an economic loss for the employer and for society. The application range of powered industrial vehicles within intralogistics offers a high risk potential. Driver assistance systems for industrial vehicles such as forklifts can be used here in order to increase the attention of potentially affected employees at the crucial moment and warn the people involved. The project aims at both researching general methods to improve work safety at motor-powered ground conveyors and specifically applying 2D/3D image processing methods in a demonstrator system to prove this method effective in increasing work safety in such an environment. The developed demonstrator can serve as a basis to engineer a system for ground conveyors to notify the driver of potential hazards, which then could be integrated and retrofitted into ground conveyors independent of the manufacturer.

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Kontakt:  Hendrik Thamer
Axel Börold
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Qualitätsprüfung und logistische Qualitätslenkung mikrotechnischer Fertigungsprozesse
01.01.2007 - 31.12.2018, DFG Sonderforschungsbereich
Subproject B5 - Safe Processes

In the 3rd phase of funding, the Project B5 aims at realization of a method for an automated quality inspection of cold formed micro parts. This method has to be integrated on the existing demonstrator platform. The result will be a fast and calibrated 3D-metrology system that can automatically measure deviations of object geometries in a measurement volume of about 1 mm3. Thereby in addition to deviations from the object geometry, undesired surface imperfections can be detected, which may be within the tolerances but still weaken the structure of the thin-walled components. Thus, the fast acquisition of the micro parts surface turns from a random sample inspection, being developed throughout the 2nd phase, into a 100% inspection.

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Kontakt:  Michael Lütjen
Hendrik Thamer
Benjamin Staar
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A Simultaneous Engineering methodology for micro cold forming processes
01.01.2007 - 31.12.2018, DFG Sonderforschungsbereich
Subproject C4 - Simultaneous Engineering

The manufacturing of micro components is characterized by a complex interplay of material, process and control parameters. Slight changes to single operations can have a drastic impact on the manufacturing costs and qualities of the overall process chain. Consequently, the subproject C4 is developing a method for the planning and configuration of micro process chains, that enables an integrated process and production planning by the use of so called cause-effect networks. The continuation of the project focusses on the development of methods for (semi-)automatic generation of process chains based on workpiece features.

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Kontakt:  Michael Lütjen
Daniel Rippel
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