@inproceedings{328, abstract = {{In this paper, concepts for an extended DC network for the main power supply of components from various manufacturers in industrial production are presented. In the first part, detailed requirements for such a network are given from the viewpoint of a customer. Based on those, different concepts for AC/DC conversion and energy management are discussed. As far as AC/DC conversion is concerned, the advantages and drawbacks of several rectifier topologies are listed, as they have a significant impact on the system behavior and EMC properties. An intelligent energy management can improve the energy efficiency and reduce downtimes of a plant, which are major requirements from a customer’s viewpoint. }}, author = {{Borcherding, Holger and Austermann, Johann and Kuhlmann, Timm and Weis, Benno and Leonide, Andre}}, booktitle = {{2017 IEEE Second International Conference on DC Microgrids (ICDCM)}}, keywords = {{AC-DC power convertors, electromagnetic compatibility, energy conservation, energy management systems, rectifiers, main power supply, industrial production, DC network, AC-DC conversion, rectifier topologies, EMC properties, intelligent energy management, energy efficiency improvement, downtime reduction, Rectifiers, Switches, Voltage control, Topology, Network topology, Production, Grounding, industrial DC grid, SMART Grid}}, location = {{Nürnberg}}, number = {{1}}, pages = {{227--234}}, title = {{{Concepts for a DC Network in Industrial Production}}}, doi = {{10.1109/ICDCM.2017.8001049}}, year = {{2017}}, } @inproceedings{586, abstract = {{Under the circumstance of advanced globalization, it is increasingly difficult for production companies to remain competitiveness. Many of them are forced to restrict budget and reduce production costs. In addition, the customization of product increases continuously. This results in extension of product variation and reduction of product life cycle. Therefore, the companies need a high flexibility to respond quickly to changes in the market and to customer requirements. Lean thinking, as a powerful tool, has been implemented by many companies in production and manufacturing. In order to avoid waste in lean manufacturing, it is necessary to manage efficiently the material flow. In this study, for a lean material handling system in the lean manufacturing of a company, an in-plant milk-run distribution system is taken into consideration. The system consistsof vehicles, which move periodically in certain routes. The materials are delivered in short intervals from a central storage area to several points of use in the production. By using milk-run in plant, the material handling processes can be standardized and therefore the waste can be eliminated. One additional aim of the study with milk-run distribution for the material provision is to minimize the handling time, which determines directly the personal costs. In order to realize the aim, the work has beendivided into several steps. At first, the production processes, especially the material provision for the production have been analyzed. Secondly, the technological solutions have been analyzed in order to handle different loading units required by different machines in the production. Thirdly, the milk-run distribution for lean production is formulated as an optimization problem with the object of minimizing the number of vehicles and the distance traveled under the constraints of specific time periods, capacity of vehicle and related stations etc. Fourthly, two optimization methods are developed in order to find the optimal solution for the milk-run problem and the performance of different methods is also compared.}}, author = {{Li, Li and Schulze, L.}}, editor = {{Villmer, Franz-Josef and Padoano, Elio}}, isbn = {{978-3-946856-00-9}}, keywords = {{Milk-Run, Material provision, Lean production, Genetic algorithm}}, location = {{Lemgo}}, number = {{1}}, pages = {{65--76}}, title = {{{In-Plant Milk-Run Distribution for Material Provision Optimization in Lean Production}}}, year = {{2016}}, } @inproceedings{432, abstract = {{The trend of increasing technological complexity of machines mainly correlates with the integration of additional functions in machines. Increasing functionality of the machines leads to an increased number of control elements, which limits the clarity of the machine operation and leads to higher cognitive demands in the machine operation. Due to the growing functional range of production machines the demand of usability for the operating systems continues to grow. The selection and design of icons for the identification of controls contributes significantly to usability, especially for intuitive operation of production machines. The aim of this study is to investigate the intuitive usability of production machines, to consider its use of graphical elements (icons) and to derive recommendations for a demand-oriented selection and design of icons. To achieve this goal, laboratory studies at five modern production machines (laser sintering machine, CNC universal lathe, plastic injection molding machine, laser processing machine, woodworking machine) - each with different operating concept - were performed. The results of the study show that the used symbols in the examined machines are only limited self-explanatory and intuitive, and thus have significant deficits for easy and intuitive operation. Especially the combination of screens and electronic keys or switches was often criticized and leads to uncertainty in the operation. As a result, recommendations for the design of icons on production machines are given. }}, author = {{Riediger, Daniel and Hinrichsen, Sven and Schlee, Alexander}}, booktitle = {{Production Engineering and Management}}, editor = {{Villmer, Franz-Josef and Padoano, Elio}}, isbn = {{978-3-941645-11-0}}, keywords = {{Usability, production mach ine, icons, usability, hum an-machine compatibility}}, location = {{Trieste}}, number = {{1}}, pages = {{123--130}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Ergonomic Design of Graphical Control Elements on Production Machines}}}, year = {{2015}}, } @inproceedings{4329, abstract = {{The term Industrie 4.0 carries the vision of smart factories, which automatically adapt to changes and assist the human as much as possible during operation and maintenance. This includes smart human machine interfaces, which reduce the chances of errors and help to make the right decisions. This paper presents an approach to equip the maintenance software running on a tablet PC with augmented reality functionality to be able to place virtual sticky notes at production modules. Additionally, these sticky notes are enriched with position information. The central element of this approach is an ontology-based context-aware framework, which aggregates and processes data from different sources. As a result, a tablet PC application was implemented, which allows displaying maintenance information as well as live plant process data in the form of augmented reality. More than 100 of those sticky notes can be placed using this system, whereas each note requires a file size of 12 to 16 kilo bytes. After placing a sticky note, the system recognizes it even if the camera's position is not exactly the same as during the placing process.}}, author = {{Flatt, Holger and Koch, Nils and Guenter, Andrei and Röcker, Carsten and Jasperneite, Jürgen}}, booktitle = {{ 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)}}, keywords = {{Maintenance engineering, Augmented reality, Context, Context modelin, Production facilities, Cameras}}, location = {{Luxembourg, Luxembourg}}, publisher = {{IEEE}}, title = {{{A Context-Aware Assistance System for Maintenance Applications in Smart Factories based on Augmented Reality and Indoor Localization}}}, doi = {{10.1109/ETFA.2015.7301586}}, year = {{2015}}, } @inproceedings{597, abstract = {{This paper is aimed to discuss current research using data mining techniques and industry statistics in production environments. The general research approach is based on the idea of using data mining processes and techniques of industry statistics to find rare and hidden patterns behind failures of complex components. A case study will be applied to illustrate how the technique is carried out and where the limits of this approach occur. The case study deals with a component supplier of printing machines, which received an increasing number of client complaints, all related to one distinct problem. The observed failures seem to occur only among clients with very high quality standards. The affected component undergoes a very complex production process with several steps in different departments. Every single production unit records data information from multiple process variables and at different points in time. In the beginning there was no understanding of the failure causes in production at all. Therefore a huge amount of production data had to be analyzed to find the pattern that discloses the failure. The data mining process starts with a first step in which the given data sets are prepared and then cleaned. Followed up by building a prediction model. The aim is to detect the root causes for failures and to predict potential failures in affected components. This paper shows how to use data mining to get the answer on pressing production failures. }}, author = {{Scheideler, Eva and Ahlemeyer-Stubbe, Andrea}}, booktitle = {{Production engineering and management : proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy}}, editor = {{Padoano, Elio and Villmer, Franz-Josef}}, isbn = {{978-3-941645-11-0}}, keywords = {{Data mining, production failure, multi-variant analysis, multivariate process control, predictive modelling, case study}}, location = {{Trieste, Italy}}, number = {{1}}, pages = {{163--174}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Data Mining: A Potential Detector to Find Failure in Complex Components}}}, year = {{2015}}, } @inproceedings{2141, abstract = {{Sensor and information fusion is recently a major topic which becomes important in machine diagnosis and conditioning for complex production machines and process engineering. It is a known fact that distributed automation systems have a major impact on signal processing and pattern recognition for machine diagnosis. Therefore, it is necessary to research and develop smart diagnosis methods which are applicable for distributed systems like resource-limited cyber-physical systems. In this paper we propose an new approach for sensor and information fusion based on Evidence Theory and socio-psychological decision-making. We show that context based condition monitoring is instantiated even in conflict situations, oc-curing in real life scenarios permanently. A simple but effective importance measure is proposed which controls the significance of conditioning propositions in a system.}}, author = {{Mönks, Uwe and Lohweg, Volker}}, booktitle = {{18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}}, isbn = {{978-1-4799-0862-2}}, issn = {{1946-0759 }}, keywords = {{Decision making, Robot sensing systems, Reliability, Production, Context, Fuzzy set theory, Data integration}}, title = {{{Machine Conditioning by Importance Controlled Information Fusion}}}, doi = {{10.1109/ETFA.2013.6647984}}, year = {{2013}}, } @inbook{2394, abstract = {{For the production of biopharmaceuticals a seed train is required to generate an adequate number of cells for inoculation of the production bioreactor. This seed train is time- and cost-intensive but offers potential for optimization. A method and a protocol are described for the seed train mapping, directed modeling without major effort, and its optimization regarding selected optimization criteria such as optimal points in time for cell passaging. Furthermore, the method can also be applied for the set-up of a new seed train, for example for a new cell line. Although the chapter is directed towards suspension cell lines, the method is also generally applicable, e.g. for adherent cell lines.}}, author = {{Frahm, Björn}}, booktitle = {{Animal Cell Biotechnology}}, isbn = {{9781627037327}}, issn = {{1064-3745}}, keywords = {{Seed train Optimization Modeling Prediction Space-Time-Yield (STY) Systems approach Bioinformatics Computational biotechnology Suspension Production}}, pages = {{355--367}}, publisher = {{Humana Press}}, title = {{{Seed Train Optimization for Cell Culture}}}, doi = {{10.1007/978-1-62703-733-4_22}}, volume = {{1104}}, year = {{2013}}, } @inbook{10214, abstract = {{For the production of biopharmaceuticals a seed train is required to generate an adequate number of cells for inoculation of the production bioreactor. This seed train is time- and cost-intensive but offers potential for optimization. A method and a protocol are described for the seed train mapping, directed modeling without major effort, and its optimization regarding selected optimization criteria such as optimal points in time for cell passaging. Furthermore, the method can also be applied for the set-up of a new seed train, for example for a new cell line. Although the chapter is directed towards suspension cell lines, the method is also generally applicable, e.g. for adherent cell lines.}}, author = {{Frahm, Björn}}, booktitle = {{Animal Cell Biotechnology - Methods and Protocols}}, editor = {{Pörtner, Ralf}}, isbn = {{978-1-62703-732-7}}, issn = {{1940-6029}}, keywords = {{Seed train, Optimization, Modeling, Prediction, Space-Time-Yield (STY), Systems approach, Bioinformatics, Computational biotechnology, Suspension, Production}}, pages = {{355–367}}, publisher = {{Humana Press}}, title = {{{Seed Train Optimization for Cell Culture}}}, doi = {{10.1007/978-1-62703-733-4_22}}, volume = {{1104}}, year = {{2013}}, } @inproceedings{2107, abstract = {{In this paper we propose a novel, extended perspective on evidential aggregation rules in machine condition monitoring. First, aspects regarding the interconnections between Dempster-Shafer, Fuzzy Set, and Possibility Theory are shown. Subsequently, a novel approach for direct determination of basic probability assignments using Fuzzy membership functions is proposed. Finally, it is applied to a pipe extrusion line's condition monitoring system, considering and reducing pairwise conflicts.}}, author = {{Mönks, Uwe and Voth, Karl and Lohweg, Volker}}, booktitle = {{IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain}}, isbn = {{978-1-4673-1877-8}}, issn = {{2327-1698 }}, keywords = {{Sensor phenomena and characterization, Production, Sensor fusion, Fuzzy set theory, Conferences, Possibility theory}}, title = {{{An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning}}}, doi = {{10.1109/CIP.2012.6232905}}, year = {{2012}}, } @misc{1045, abstract = {{In the context of the increasing use of new portable evices, the potential of binaural recording techniques is being reconsidered. This kind of recording technique simulates human hearing and provides a 3D recording space, bringing in new mixing possibilities. For this paper, a song has been produced using inaural recording techniques and tested on a group of average listeners. The results suggest great potential for this technique for music production due to the 3D space that it brings but also significant limitation for commercial broadcasting.}}, author = {{Seserman, Angela-Nicoleta}}, keywords = {{binaural recording, 3D sound, music production, Musikproduktion, Sound}}, pages = {{46}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Binaural recording techniques in a popular music production}}}, year = {{2012}}, } @misc{8274, abstract = {{The need for multiple radio systems in overlapping regions of a factory plant introduces a coexistence problem. The current research challenge is to design and realize radio systems that should be able to achieve a desired quality of service (QoS) in this coexisting environment. Currently transmission resources of hyperspace are not properly exploited. The cognitive radio (CR), which can adapt to the environmental changes by reconfiguring itself, can be used to implement intelligent radio systems to exploit the orthogonal nature of multiple dimensions of hyperspace to maintain the desired QoS in coexisting factory environments. We present initial results of a coexistence optimized CR which can exploit frequency and power, which are two of several dimensions of hyperspace, to improve its QoS in coexisting environments.}}, author = {{Ahmad, Kaleem and Meier, Uwe and Pape, Andreas and Kwasnicka, Halina and Griese, Bjoern}}, booktitle = {{ 2009 6th IEEE Annual Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks Workshops}}, isbn = {{978-1-4244-3938-6}}, keywords = {{Cognitive radio, Quality of service, Space technology, Frequency, Production facilities, Chromium, Manufacturing automation, Intelligent systems, Polarization, Testing}}, location = {{Rome, Italy }}, publisher = {{IEEE }}, title = {{{A Generic Cognitive Radio for Evaluating Coexistence Optimized Industrial Automation Systems}}}, doi = {{10.1109/SAHCNW.2009.5172916}}, year = {{2009}}, } @misc{1371, author = {{Büter, Bianca}}, keywords = {{Filmproduktion, Producer, film production, producer}}, pages = {{154}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Zerbochen (AT)}}}, year = {{2009}}, } @inproceedings{2068, abstract = {{The production of printing goods is laborious. Furthermore, the print quality, especially in banknotes, must be assured. It is accepted, that print defects are generated because printing parameters, also machine parameters can change unnoticed. Therefore, a combined concept for a multi-sensory learning and classification model based on new adaptive fuzzy-pattern-classifiers for data inspection is proposed. This inspection concept, which combines optical, acoustical and other machine information, comes up with a large amount of data, which leads to multivariate methods for data analysis. Multivariate methods are useful for analysis of large and complex data sets that consist of many variables measured on large numbers of physical data.}}, author = {{Dyck, Walter and Türke, Thomas and Schaede, Johannes and Lohweg, Volker}}, isbn = {{978-1-4244-1565-6}}, issn = {{1551-2541 }}, keywords = {{Sensor fusion, Inspection, Optical sensors, Printing machinery, Data security, Data analysis, Production, Degradation, Principal component analysis, Karhunen-Loeve transforms}}, pages = {{accepted for publication}}, publisher = {{MLSP 2007 - International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING}}, title = {{{A Fuzzy-Pattern-Classifier-Based Adaptive Learning Model for Sensor Fusion}}}, doi = {{10.1109/MLSP.2007.4414320}}, year = {{2007}}, } @inproceedings{486, abstract = {{Growing market demands on enterprises and the resulting challenges for their organization have been discussed for many years now. The flexibilty and mutability of an enterprise are thereby considered as a significant factor for success.}}, author = {{Zülch, Gert and Gamber, Thilo Gerhard and Stock, Patricia}}, booktitle = {{Advances in Production Management Systems}}, editor = {{Olhager, Jan and Persson, Fredrik}}, isbn = {{978-0-387-74157-4}}, keywords = {{production planning and control, decision-making system, personnel-oriented simulation}}, location = {{Linköping}}, pages = {{337--344}}, publisher = {{Springer}}, title = {{{Methodology for the Analysis of Simulation-Based Decision-Making in the Manufacturing Area}}}, year = {{2007}}, } @misc{2340, author = {{Frahm, Björn and Blank, H.-C. and Cornand, P. and Oelßner, W. and Guth, U. and Lane, P. and Munack, A. and Johannsen, K. and Pörtner, R.}}, booktitle = {{Journal of Biotechnology}}, issn = {{1873-4863 }}, keywords = {{Dissolved carbon dioxide, Carbon dioxide production rate, Carbon dioxide transfer rate, Off-gas measurement, Mammalian cell suspension culture}}, number = {{2}}, pages = {{133--148}}, publisher = {{Elsevier}}, title = {{{Determination of dissolved CO2 concentration and CO2 production rate of mammalian cell suspension culture based on off-gas measurement}}}, doi = {{https://doi.org/10.1016/S0168-1656(02)00180-3}}, volume = {{99}}, year = {{2002}}, }