Publications of Prof. Dr.-Ing. Gisela Lanza


Brauchen Sie Hilfe bei der Recherche mit Statista? Die Kenntnis der Messunsicherheit ist speziell bei der Qualitätssicherung von Bauteilen im Mikrometerbereich wesentlich. The functionality of thispositioning and orientation process will be illustrated in dependence on the gaging process of an incremental measuringsystem. Instagram-Accounts mit den meisten Followern weltweit im Januar

Peer-reviewed articles in journals


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Diese sind entscheidend für die digitale Zukunft Deutschlands und die rund ,7 Millionen Mobilfunkanschlüsse. Amazon führte bereits damals das Ranking in Österreich an. Wie teuer ist das Fan-Leben? Am Cyber Monday waren es sogar 3,36 Milliarden. Bei der Rabattschlacht ist dieses Jahr mit einer erneuten Umsatzsteigerung zu rechnen.

Mit einem Marktanteil von über 90 Prozent bleibt Flixbus die unangefochtene Nr. Die Zahlungsmöglichkeiten für eCommerce-Kunden beschränken sich längst nicht mehr auf einfache Bar- oder Kartenzahlungen.

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Details zu unserer Datennutzung finden Sie in unserer Datenschutzerklärung. Das Statistik-Portal Statistiken und Studien aus über Zur Branchenübersicht Beliebte Statistiken. Aktuelle Statistiken Populäre Statistiken. Umsatz durch E-Commerce in Deutschland bis Verfügbares Einkommen je Arbeitnehmer in Deutschland.

Laufende Verwaltungskosten der deutschen Lebensversicherer. Städte mit den höchsten Mietpreisen in Deutschland Q3 Umsatz im Einzelhandel in Deutschland bis Monatliche Umsatzentwicklung im Einzelhandel in Deutschland bis Oktober Filialen der Aldi-Gruppe in Deutschland bis Instagram-Accounts mit den meisten Followern weltweit im Januar Monatlich aktive Nutzer von Facebook weltweit bis zum 3. Anteil der Internetnutzer in Deutschland bis Umsatz der führenden Drogeriemarktketten in Deutschland.

Ranking der beliebtesten Biermarken in Deutschland bis Marktanteile führender Lebensmitteleinzelhändler in Deutschland. Textil- und Bekleidungsindustrie in Deutschland. YouTube-Videos mit den meisten Abrufen weltweit Auflage der überregionalen Tageszeitungen im 3. Verkaufte Auflage der Tageszeitungen in Deutschland bis GKV - Durchschnittlicher Krankenstand bis Todesfälle aufgrund von Krebs in Deutschland.

Anzahl der Pflegebedürftigen in Deutschland nach Pflegeart bis Anzahl von Kaiserschnitten und Geburten insgesamt in Deutschland. Umsatzstärkste Logistikunternehmen in Deutschland. Container-Reedereien nach gesamter Anzahl der Schiffe Durchschnittlicher Jahresarbeitslohn je Arbeitnehmer in Deutschland.

Arbeitslosenquote in Deutschland - Jahresdurchschnittswerte bis Bruttoinlandsprodukt BIP in Deutschland bis Dossiers Ein Thema schnell quantitativ durchdringen. Outlook Reports Prognosen zu aktuellen Trends. Umfragen Aktuelle Konsumentenumfragen und Expertenmeinungen. Toplisten Unternehmen identifizieren für Vertrieb und Analyse. Marktstudien Ganze Märkte analysieren. Branchenreporte Eine Branche verstehen und einschätzen.

Consumer Market Outlook Alles über Konsumgütermärkte. Mobility Market Outlook Schlüsselthemen der Mobilität. Unternehmensdatenbank Umsatz- und Mitarbeiterzahlen auf einen Blick. KPIs für über 6. Premium-Statistiken Branchenspezifische und aufwendig recherchierte Fachdaten zum Teil aus exklusiven Partnerschaften.

Der Index basiert auf einer Befragung von Industrieunternehmen in Deutschland. Ein Wert von 50 wird als neutral, ein Wert von über 50 Punkten als eine steigende und ein Wert von unter 50 Punkten als eine rückläufige Industrieproduktion angesehen. Kundenindividuelle Produkte sowie steigender Wettbewerbs- und Kosten druck in Verbindung mit sich stetig verkürzenden Produktlebenszyklenbegründen die Bedeutung des Produktionsanlaufs für produzierende Unternehmen [1].

Durch die modifizierte Anwendung eines Verfahrens aus dem Operations Research wird eine zeitliche Verkürzung der Inbetriebnahmephaseerreicht. Damit stellt sich ein Kostenvorteil im gesamten Produktionsanlauf ein. In diesem Beitrag wird ein Job-Shop-Problem modelliert und damit die Reihenfolge der Maschinenabnahmeschritte optimiert. Therefore production ramp-ups are gaining more and more importance. Production ramp-ups are characterized by instable business-processes within the organization, new products and new production technology.

This combination often causes quality and availability problems which are the main challenges for a product launch in time and costs. Thus, fast reactions to quality and availability problems are crucial for competitiveness. In this paper, a new simulation based decision support system for production ramp-ups is presented.

The system allows the simulation of influences on technically critical processes under the dynamic environment of a production ramp-up. Next to the theory, so called quality simulation, a prototypical implementation and simulation results are presented. Research in micro production technology mainly focuses on the development and optimization of a dedicated manufacturing process. However, for industrial application, it is of foremost importance to know which alternative technologies are capable of manufacturing a specific work piece or a specified quality feature and which of these technologies are the best to choose.

By means of altered quality function deployment QFD and a web based structure catalogue, different micro manufacturing technologies such as micro milling, laser ablation and Electric Discharge Machining EDM have been benchmarked concerning their capabilities to fabricate micro molds consisting of wear-resistant materials.

Besides process comparison with regard to accuracy and efficiency, the new architecture of the House of Quality of the QFD facilitates the identification and optimization of critical process parameters. Furthermore, by means of the developed structure catalogue, the verification of machinability of product designs is assured. This paper introduces a new approach to handle and machine spatially curved profiles using a flexible and intelligentclamping system.

Firstly, requirements to the clamping system are specified which have to be fulfilled for a flexible smalland medium batch production of light-weight frame structures.

Subsequently, the design of the flexible clamping systemis described. To maintain a once reached condition of order over the entire process chain, an in-line measuring systemhas to be integrated. Several metrological processes have been tested regarding their application on spatially curvedprofiles.

To allow an exact positioning and orientation of the profiles within the clamping system for machining andhandling, additional marks were placed on the profile surface in well-defined distances. The functionality of thispositioning and orientation process will be illustrated in dependence on the gaging process of an incremental measuringsystem.

Also, an outlook to an extended use of the part-specific scale for an integrated quality assurance is given. Bei der Konfiguration von globalen Wertschöpfungsnetzwerken muss die Anlaufphase aufgrund der hohen wirtschaftlichen Relevanz explizit Berücksichtigung finden.

Ausgehend von dieser Notwendigkeit stellt der Fachbeitrag ein Konzept vor, mit dem die Anlauffähigkeit eines potentiellen Wertschöpfungsnetzwerks anhand der Qualitätsfähigkeiten der einzelnen Wertschöpfungsknoten interne Standorte und externe Partner bestimmt werden kann. Micro production, with an annual forecasted growth rate of 20 per cent will clearly be a key technology of the 21st century.

High-precision engineering, which uses miniaturized conventional manufacturing techniques, e. Owing to its flexibility and its ability to produce complex three dimensional geometric shapes in a broad variety of different materials, micro cutting is ofspecial importance both for small scale and mass production environments. However, cutting in micro dimensions follows special rules caused by size effects.

Successful micro cutting depends on statistically reliable and robust processes and therefore on knowledge about parameter adjustments and process characterization. Statistical analyses of experimental micro cutting data and modelling studies are used to study the effects and interactions of process parameter variations for workpiece material, cutting edge radii, cutting speed, depth of cut, and application of a lubricant.

The results show a significant influence of most of the mentioned factors on the response variable surface roughness and specific cutting force. Based on the experimental data and the statistical modelling studies, linear models for the specific cutting force and surface roughness are proposed.

In addition, the outcome is compared to theempirical cutting model of Victor-Kienzle derived for application in macro dimensions. Anhand elementarer geometrischer Überlegungen wird der Aufbau der umgesetzten Spanntechnik hergeleitet.

Es wird ein Ansatz vorgestellt, welcher die Genauigkeit der Profilpositionierung in der Spanntechnik mit auf der Profiloberfläche aufgebrachten Markierungen erhöht.

Die Beschreibung eines Vorversuchsstandes sowie der ersten Ergebnisse zur Markierungsdetektion mittels digitaler Bildverarbeitung runden das Thema ab. This article describes a clamping concept for the flexible machining of spatially curved profiles developed at the wbk Institute of Production Science of the Universität Karlsruhe TH. Simple geometrical considerations form the basis of the prototypically implemented clampingsystem design. The approach presented in this article allows for accuracy improvements regarding the positioning of the profile in the clamping system on the basis of markings applied onto the surface of the profile.

Besides, the preliminary test rig set up and first results on the detection of themarkings by means of digital image processing are presented. Micro manufacturing processes are characterized by high process variability and an increased significance of measurement uncertainty in relation to tight tolerance specifications.

Therefore, an approach that separates the superposition of measurement and manufacturing variation is demanded. A novel design for a quality control chart that makes it possible to monitor, control and extract measurement variation from manufacturing variation is proposed. Thus, a definite cause diagnosis on the approval or rejection of micro components due to errors either in the measurement or in the manufacturing process is possible.

Oft müssen Hersteller von Produktionsanlagen sowohl den Kunden während des Lebenszyklus aktiv durch die Optimierung von Maschinen unterstützen als auch ein wirtschaftlich attraktives Portfolio produktbegleitender Leistungen bereitstellen. Für dieses Umfeld ist eine Methode zur Kostenkalkulation von Instandhaltungsverträgen während der Angebotsphase entwickelt worden.

Kleinserienproduktion übertragen werden, da sie sich je nach Anwendungsumfeld unterschiedlich auf relevante Produktionskennzahlen wie Bestand, Durchlaufzeit, Maschinenverfügbarkeit, Ausschussrate etc.

Der Artikel behandelt die Fragestellung, welche Lean Methoden in welcher Ausprägung für spezifische Anforderungen in der Kleinserienproduktion auf Basis quantifizierter Wirkzusammenhänge geeignet sind. Globally operating companies face the challenge of an optimal and efficient configuration of their value added network.

The participating sites, partners, and suppliers have to be selected according to their specific capabilities. Thereby the configuration has to respect not only the actual status but also the different dynamic influences of the nodes of the network themselves and also of the connections between them.

This paper presents an approach for the configuration of global value added networks using business capabilities with special consideration of the ramp-up behaviour of the single elements. A simulation implemented in Tecnomatix Plant SimulationTM serves as a validation for the theoretic approach. The reliability of machine components depends on their operational conditions.

In order to maximize this reliability, the preventive maintenance intervals and the provision of spare parts have to be adapted to the individual load collectives. Up to now, there has been for different machine components no comprehensive approach to quantify the effect of load collectives and to adapt the respective actions accordingly.

This paper presents amethod which calculates the optimal time for preventivemaintenance and spare part provision by a stochastic optimization algorithm based on a load-dependent reliability model.

Flexible and automated small-batch production requires a high degree of facility adaptability for the product to be manufactured. Here spatially curved profiles pose a particular challenge in terms of the exact positioning and the assurance of component quality during the machining process. This paper describes the concept and implementation of a metrological approach to the positioning of spatially curved tube profiles for profile machining.

Single laser markings put on the component surface are combined into a component-specific scale. The design of the markings is derived systematically considering the boundary conditions. The component-specific scale also constitutes the basis for an incremental identification of the profile contour, allowing for flexible inline quality assurance for almost any type of curved profile contours.

Profile geometries can be described regardless of contours by means of cubic spline interpolation. This paper presents the work aiming on increasing accuracy of selected process steps as well as a method for measuring and marking the manufactured profiles with the help of a part immanent scale. Technische Dienstleistungen gewinnen in der Maschinenbaubranche immer mehr an Bedeutung. Allerdings ist der quantitative Nutzen, z.

Die Berechnung der Kosten und des Nutzens, gemessen anhand der Verfügbarkeitssteigerung durch technische Dienstleistungen, basiert auf der Simulation des Maschinenausfallverhaltens sowie zugehöriger Reparaturprozesse über einen gegebenen Zeitraum.

Manufacturers of production facilities must not only be able to support their customers actively throughout the life cycle by optimizing machines and productivity but also by establishing a profitable environment for product-accompanying services. Therefore, a method has been developed which allows for the calculation of the costs of service contracts during the offer phase.

Subject to different influencing variables which are deposited with stochastic distributions, the costs will be determined by the Monte Carlo method. The Monte Carlo method is used to estimate uncertain forecasts. Die automatisierte und flexible Bearbeitung gekrümmter Strangpressprofile in der Kleinserienfertigung ist im Bereich der Arbeitsvorbereitung mit einem erheblichen zeitlichen Aufwand verbunden. In diesem Artikel wird die flexible Programmierung der prototypisch realisierten Maschinentechnik vorgestellt.

Ausgehend von der Automobilindustrie werden Methoden der Lean Production zunehmend in anderen Branchen und bei kleinen und mittelständischen Unternehmen eingesetzt. Zur Bewertung der Auswirkungen bei Übertragung und Einführung von Lean Methoden auf die komplexen Anforderungen der Kleinserienproduktion bietet sich die Simulationstechnik an. Um die simulative Produktionsplanung und -umgestaltung in kleinen und mittelständischen Unternehmen zu unterstützen, werden am Institut für Produktionstechnik wbk des Karlsruher Instituts für Technologie KIT Prozessmuster zur anwenderfreundlichen Abbildung von Lean Methoden in einer Simulationsumgebung entwickelt und implementiert.

The configuration of Value Added Networks consisting of globally distributed locations of a company and its partners and suppliers is a long-term decision and therefore subject to high dynamics and uncertainties. Furthermore the evaluation of different network configurations has to be done with respect to the underlying multidimensional target systems. This paper describes an integrated concept for the evaluation of network configurations using a discrete-event simulation tool with an integrated Monte-Carlo-Simulation to include dynamics and uncertainty and the PROMETHEE approach for the consideration of multidimensional target systems.

The concept leads to robust network designs, which are adjusted to the companies needs. Not every product can be successfully sourced in low-cost countries. Disadvantageous cost structures or extremely complex workpiece designs are the most frequent reasons for failures. A design that has been tailored to low-cost country sourcing offers the possibility of increasing potentials while reducing risks and costs at the same time. This paper highlights different possibilities to define the interface between product design and production in low-cost countries, identifies the factors influencing the design, deduces basic principles and illustrates guidelines for an adapted product design.

For the enhancement of technical workpiece surfaces with even larger dimensions, the application of microstructures on the surface is an appropriate way to improve the fitness for use without changing the properties of the basic material. This article presents an approach for the automated detection of shape deviations of a microstructure, as well as the detection of measurement errors during an optical or tactile measurement. The explained algorithm is based on the analysis of the measurement points within a point cloud by observing the distances between the single points.

To illustrate the disturbance in the measurement point cloud every point is evaluated by an adaptive weighting function. The weighting of each measurement point can then be visualized by plotting the whole point cloud according to a corresponding color scale.

The suitability of the point cloud analysis is demonstrated by the examples of a shape deviation artificial groove and a measurement error, occurred by measurement via confocal microscopy. Die Kenntnis der Messunsicherheit ist speziell bei der Qualitätssicherung von Bauteilen im Mikrometerbereich wesentlich.

Der Fachartikel befasst sich mit den aktuellen Arbeiten am wbk - Institut für Produktionstechnik - zur Abschätzung der Mess -unsicherheit, zum Einfluss der Messunsicherheit auf die Prozessfähigkeit sowie zur Wirkung von Formabweichungen auf die Messunsicherheit im Mikrometerbereich. An increasing product variety causes different cost effects in several divisions of a company.

These effects have to be identified in order to compare them to potential revenues. However, at the time strategic market decisions have to be made, not all detailed information about product variants and quantities are available. Analyses of future cost development and the choice of the manufacturing system are difficult and uncertain.

Two different kinds of manufacturing technologies are used to produce micro systems or micro structures on macro-scale parts. MEMS micro-electro-mechanical systems are produced by using bottom up techniques such as lithography, etching and bonding, which were adopted from well established microelectronic manufacturing processes.

Precision Engineering systems apply a top-down approach and use very precise versions of conventional manufacturing techniques such as milling, turning or powder injection molding to produce micro-mechanical parts.

At the present time, both technologies face the challenge of long iterative product development cycles before the functionality of the product and the set-up of the production system can be verified.

Even though both approaches offer complementary advantages concerning the range of materials, design flexibility and the capability to produce parts in small and large volumes, there have been no attempts to integrate the two technologies up to now. Through the framework of axiomatic design, this paper proposes a structured approach to derive and simultaneously verify micro systems and the necessary manufacturing processes by applying and integrating both Precision Engineering and MEMS techniques.

Small and medium-sized companies encounter enormous difficulties when trying to implement lean production methods according to the role model of the Toyota Production System. This is caused by the varying effects of lean methods on production figures depending on the production conditions concerning product variety and volumes, variation of process and set-up times, etc.

This article presents approaches developed at the Institute of Production Science wbk , Karlsruhe Institute of Technology, to evaluate and optimize the effects of lean methods in small series productions based on the quantified interdependencies with the relevant target figures. It enables the best combination of lean methods to be identified and recommendations for the efficient implementation of these lean methods.

Kurzfristige Veränderungen der Produktionsaufgabe sind eine Herausforderung bei der Umsetzung effizienter Prozesse. Die Daimler AG entwickelte in Zusammenarbeit mit dem Institut für Produktionstechnik wbk , Karlsruhe, eine Methode auf Basis eines Warteschlangenmodells, um Auswirkungen von Veränderungen des Produktionsprogramms frühzeitig zu bewerten. In micrometer dimensions the uncertainty of measurement is essential for reliably determining part quality. However, calibrated standards are necessary to experimentally estimate the uncertainty of measurement.

Due to the complex shape of micro gears e. The presented novel micro gear standard uses cylinders to model the involute tooth flanks. The approach describes the estimation of the uncertainty of measurement for measurements of the profile, helix, pitch and tooth flank deviations. Furthermore, initial measurement results of a prototypical standard are provided. Zur Leistungsanalyse eignen sich unter anderem analytische und simulationstechnische Ansätze.

Eine global agierende Produktion verlangt den weltweiten Einsatz von Produktionstechnologien unter differierenden standortspezifischen Rahmenbedingungen. Zur optimalen Nutzung der jeweiligen Standortvorteile ist eine individuelle Anpassung in vielen Fällen sinnvoll, jedoch oftmals aufgrund produktseitiger Vorgaben oder strategischer Ausrichtungen nicht umsetzbar.

Vor diesem Hintergrund ist es wichtig, eine Entscheidungsunterstützung zur richtigen Produktionstechnologieauswahl zur Hand zu haben. Einen Ansatz hierzu bietet eine neu entwickelte Methode zur Identifikation der mit einem Technologietransfer verbundenen standortspezifischen Risiken und Chancen.

Global Technology Roadmap - Location-related production technology evaluation for risk minimization and increasing the opportunities in the case of commitments abroad Globally active production logically entails the worldwide use of production technologies under differing location-specific boundary conditions. Individual adaptation makes sense in many cases in order to exploit the advantages of the respective location in an optimum manner. This can, however, often not be realized due to product-related specifications or strategic orientations.

Against this background, it is important to have a decision support system at hand in order to be able to select the appropriate production technology. An approach for the identification of the location-specific risks and opportunities associated with technology transfer is offered by this method.

Deutsche Produktionsunternehmen haben sich mit voranschreitender Globalisierung in globalen Wertschöpfungsnetzwerken aufgestellt. Bisher reagieren diese bei dynamischen Veränderungen der Einflussfaktoren mit kurzfristigen, flexiblen Änderungen zur Anpassung der bestehenden Produktionsstruktur. Kurzfristige Änderungen sind oft kostspielig und ihre tatsächlichen Effekte nicht vorhersehbar. Langfristige Potentiale dagegen liegen in der Implementierung wandlungsfähiger Strukturen.

Im Mittelpunkt stehen neben relevanten Informationen zum Zeitpunkt der Ist-Analyse auch Inhalte für die Identifikation zukünftiger Wandlungsbefähiger und Wandlungstreiber. Any decision a company takes concerning the global expansion of its value network has major economic implications and is highly complex.

Many diverse aspects must be taken into consideration when such a decision is made to ensure that a robust network is configured which will allow the company to be economically successful in the future in spite of the volatile environment it is affected by.

It is against this context that the LMP and the wbk jointly developed a decision support method for the configuration and evaluation of the global expansion of value networks.

The successful implementation and application of the approach are shown on the basis of a practical case study. Insbesondere der frühe Markteintrittszeitpunkt und die daraus resultierende Reduktion von Lost Sales sind Wettbewerbsvorteile gegenüber der Konkurrenz. Schlüsselprozess ist die effiziente Ressourcenplanung des Produktionsanlaufs. Der Fachbeitrag beschreibt drei hybride Modellierungsverfahren, mit deren Hilfe die Vorteile von analytischen Methoden und Simulation vereint werden und die zur Leistungsbewertung komplexer Produktionssysteme verwendet werden können.

Today production planning has to deal with highly dynamic markets and increasing uncertainties. Moreover, it has to take into account possibilities of the surrounding production network. By combining a queueing theory model with a stochastic, dynamic optimization approach, a method to support decision making in production planning was developed. Hereby, a Markovian Decision Process is solved to find cost minimal policies as reactions to volatile market demands for minimizing costs due to capacity adaptations, changes in process steps, and locations.

The method was applied at an automotive supplier to find suitable system configurations and investment decisions for an uncertain future. Globally operating companies are set up in global value added networks. Their current environment is characterized by dynamism, complexity and uncertainty. Furthermore companies are constantly challenged to respond adequately to the rapid changes in environment.

Therefore it is crucial to identify company-specific factors which require changes - so called drivers of change. This article presents a method to identify changing drivers of globally operating companies. In addition, the method enables to quantify the changing drivers and determines the effect relationships based on the application of a system dynamics approach.

The presented method has been developed in the framework of the research project Design and optimization of changeable global value added networks POWer. Green machining strategies can affect several aspects of a manufacturing system including part quality, which must remain sufficient to ensure the product's value.

Improved part quality can also reduce life cycle environmental impacts through increased resource efficiency, which adds a further consideration. This paper quantifies the impact of these strategies on the achieved surface quality of turned titanium in the context of various resource costs including electrical energy, tool wear, and service costs.

The results suggest that the final surface quality is most influenced by the finish cut s and feed rate. Part functionality is also an important consideration for resource efficiency. Für produzierende Unternehmen an Hochlohnstandorten ist eine Kostenbetrachtung über Lebenszyklen entscheidend. Dies stellt sowohl Betreiber als auch Hersteller von Produktionsanlagen vor Herausforderungen.

The automotive industry faces major challenges due to volatile markets and expenses for new technologies. The dynamics of markets and future technological variety demand flexibility.

A sustainable transformation strategy is indispensable for upcoming decades. The following paper presents an approach supporting both, tactical as well as strategic decision-making in volatile manufacturing environments. At first, operating costs and performance figures of manufacturing systems are calculated. In step two, a Markovian Decision Process is solved to find a cost minimal policy over planning horizons.

The optimization of the manufacturing system is based on capacity adaptations and changes in process steps, suppliers, and locations. Mit modernen Methoden der Informations- und Kommunikationstechnik sind wesentliche Erleichterungen für Maschinenbetreiber sowohl im technischen als auch organisatorischen Umfeld erreichbar. Der Fachbeitrag geht dabei auf die strategischen sowie technischen Herausforderungen für den intelligenten Betrieb ein und stellt die bereits entwickelten Lösungsansätze im Umfeld des Trends "Industrie 4.

Sustainable individual mobility can only be achieved by reducing the energy consumption and consequently the CO2 emissions. Solutions therefore can be found in the reduction of the motor cars moving mass. This is forced by the trend towards electric vehicles, the increasing safety and new comfort oriented functions. To achieve the aim of mass reduction, lightweight material design plays an important role. To exploit the entire potential of lightweight design, fiber-reinforced plastics FRP are also being considered by the automotive industry in addition to the traditional lightweight materials such as aluminium and magnesium alloys.

However, due to the current low automation rate and high production costs especially carbon-fiber-reinforced plastics CFRP are not widely used. Especially the automation of the draping-process - the forming operation of semi-finished textiles - and the aligned quality assurance has to be developed. Imperfections, which occur in this process step, can influence the performance of the part in a significant way.

At the moment, these defects are only detected at the end of the entire production, which leads to high costs caused by scrap. This paper provides an approach how inline metrology can be integrated into the production process.

Hereby, the focus is set on the different measurement systems which are used for the detection of several kinds of defects as well as on the measurement strategy which is highly responsible for a time efficient measurement.

Bei der Elektrifizierung des Antriebsstrangs steht die kosteneffiziente Batterieproduktion im Fokus. Zudem hängt die Lebensdauer der Batteriesysteme von der Fertigungsqualität ab. Daher ist ein qualitätsorientierter Planungsansatz für eine wandlungsfähige Batteriemontage erforderlich. Die zunehmend nachgefragten und oft aus Sicht der Hersteller schwer kalkulierbaren Bestandteile der TCO Total Cost of Ownership -Verträge bestehen aus verschiedenen Kostenblöcken, wobei die Instandhaltungs- und Energiekosten dominieren.

Diese Kosten sind wesentlich vom individuellen Anwendungsfall abhängig. Um die Auswirkungen der verschiedenen Nutzungsprofile im TCO-Vertrag ausreichend berücksichtigen zu können, entwickelt das wbk zusammen mit Industriepartnern einen neuen transparenten und anwendbaren Standard, der auf Referenzklassen beruht. Mikrozahnräder sind wichtige Bauteile in vielfältigen innovativen Anwendungen.

Hierfür wird ein Ansatz vorgestellt, bei dem die CT-Messdaten mit hochgenauen taktilen Messdaten fusioniert werden. Vorgestellt wird eine neuartige Metrik zum Vergleich von Produktionsprozessen bezüglich ihrer Ähnlichkeit und daraus abgeleitet hinsichtlich möglicher Synergie- und Integrationspotentiale. By designing global manufacturing networks still purely cost-based decisions are made, in which objectives such as delivery time, quality, flexibility, closeness to customer and coordination effort are neglected.

The design and decision-making process becomes more complex, the more influencing factors of the business environment are considered. Due to the dynamic and uncertainty of these factors a decision support is required which includes all relationships in the network and its environment.

This paper presents a dynamic multi-objective optimization model for global manufacturing networks, which evaluates the impact of changes of influencing factors and optimizes the global design of the manufacturing network. Der Fachartikel beschreibt eine Methode zur Bewertung und Auswahl verschiedener als Reaktion auf eine Störung erstellter Produktionspläne, unter Berücksichtigung aller durch das Rescheduling verursachter Aufwände. Hierfür wird ein Ansatz zur systematischen Identifizierung vorgestellt.

There is a decent number of possible heuristic methods to solve an actual problem in production planning and control. Usually, each solving method leads to a different alternative. In dynamic production environments, decision makers often have to decide between uncertainty and risk. Making multi-criteria decisions under risk is a well-known problem. In this paper, we will consider rescheduling as an example for decision-making in a dynamic production environment.

It is used to present an intelligent manufacturing approach for multi-criteria decisions under risk that combines a method for decisionmaking under risk and a multi-attribute decision-making method. Moreover, for frequently appearing problems, such as rescheduling, a procedure to evaluate the used solving methods is presented.

We use this information to achieve a sustainable improvement for the solving procedure of future manufacturing problems. The automotive industry can be described as a backbone in many developed countries such as Japan, Korea, USA, and Germany, while being an enabler for economic prosperity in developing countries like China, Brazil, Eastern Europe, and Russia at the same time. However, the dynamics and uncertainty are increasing heavily by market changes, regulations, customer behavior, and new product technologies.

Manufacturing research has to find answers to increase quality of products, flexibility of plants, and supply chain networks, to manage complexity in technologies and variants and overall to stay competitive even in high wage countries. In this paper, major technological challenges are discussed and the current state of manufacturing technology and research is presented. Moreover, for each technological and organizational area, future industrial, and research challenges are highlighted.

This optimisation approach focuses on the shop floor of a manufacturing company. It aims for an integrated lean and green assessment of a manufacturing system and the identification of a cost optimized combination of lean and green strategies with regard to green targets. For green assessment material and energy inputs as well as resulting CO2 emissions are taken into account.

Lean assessment focuses on costs and throughput time. Potential lean and green strategies identified during top down analysis are integrated into a discrete event simulation model.

This model is connected with optimisation heuristics which improve combined lean and green strategy deployment to the manufacturing system. Prozessfähigkeitsuntersuchungen vergleichen die Verteilung eines Fertigungsprozesses mit den definierten Toleranzen eines Qualitätsmerkmals. Allerdings kann die Messunsicherheit die beobachtete Qualität des Fertigungsprozesses dabei erheblich beeinflussen.

In high-tech production, companies often deal with the manufacturing of assemblies with quality requirements close to the technological limits. Selective and adaptive production systems are means to cope with this challenge. In this context new measurement technologies and IT-systems offer the opportunity to generate and use real-time quality data along the process chain and to control the production system adaptively.

In this article, a holistic matching approach to optimize the performance of selective and adaptive assembly systems is presented and its industrial application within an automotive electric drive assembly is demonstrated. Die Klebetechnik gewinnt als zukunftsträchtige, variabel einsetzbare Fügetechnik immer mehr an Bedeutung.

Ultraschallbasierte Messkonzepte bieten hierfür eine mögliche Lösung zur Detektion von qualitätskritischen Lufteinschlüssen bei der Applikation von Kleberaupen. Die Methodik beruht auf der Kombination von Simulations- und Optimierungsverfahren.

Among the current challenges to the global automotive industry are changes in global markets leading to product variety, regulation leading to pressure for new technologies in body and powertrain, and competition by new players such as huge information and communication technology companies.

Automotive original equipment manufacturers OEMs deal with these issues in different ways. This paper uses the scenario technique to illustrate possible answers to the question, how future value chains of automotive industry will look like.

In almost all cases, Information and communication technology ICT plays a major role in future strategies to cope with the aforementioned challenges. On the one hand, ICT can boost the way to more efficient production of variants by utilizing smart manufacturing approaches, on the other hand ICT enables new features such as autonomous driving.

In-process measurements by machine tools offer high product quality, lower manufacturing costs, high productivity and a real-life assessment of product quality. Measurement errors of machine tools are influenced by complex environmental factors on the shop floor e. The development of a mobile climate simulation chamber is one of the work packages in this project and has the objective to simulate shop floor conditions to which a machine tool is exposed in its daily use.

Based on the analysis of the variety of influencing factors, different concepts for the design of the mobile simulation chamber have been elaborated and the final concept was chosen. The validation of the final concept was supported by a computational fluid dynamics simulation and a modified temperature sensor distribution that is fit for the described purpose with regard to the mobility and thermal stability of the system.

Nowadays the number of product models constantly increases, due to a strong competition to innovate and the reduction of product life cycles, resulting in a more frequent occurrence of production ramp-ups.

The production ramp-up combines the product development with the series production and has an impact on the market entry timing. In order to ensure an ideal ramp-up with new developed products being placed on the market as quickly as possible, there has to be an efficient use of existing resources, especially of human resources.

Nevertheless, the planning of these resources turns out to be the most important challenge because it is directly related to a great uncertainty. The following article represents an approach that is being developed at the Institute of Production Science wbk of the Karlsruhe Institute of Technology KIT to optimize the forecast of the personnel requirements during ramp-up by taking into account the dynamic planning variables and organizational basic conditions.

Therefore, a method will be developed that provides support to the responsible persons of the respective production ramp-up to calculate the necessary manpower for every single ramp-up phase and to realize the economic optimum.

This method focuses on a simulation of the ramp-up process that allows an economically more efficient use of human resources. Um die Bewertung der Messtechnik und somit den Auswahlprozess zu vereinfachen, wurden Prüfkörper entwickelt, die typische Imperfektionen und Preform-Geometrien abbilden.

Light-weight aluminum space frame structures are frequently used for small-volume products, suchas sports cars. The assembly of these products has so far been mainly manual and requires the use ofcomplex and expensive fixtures.

To increase the profitability the research conducted at wbk Institute ofProduction Science is aiming to achieve an automated, fixtureless assembly of such structures by the useof industrial robots. To achieve the required accuracies regarding the alignment of the joining partners, anew approach based on component-inherent markings has been developed.

Different tests have alreadybeen conducted in order to validate the approach. The test results demonstrate that the approach issuitable for the spatial alignment of components. This article describes the theoretical foundations of the required measurement approach as well as theexperimental results. Today an efficient warehouse and inventory management of spare parts for production machinery is essential for service organizations. Optimal strategies in procurement, stocking and supply play an important role for serviceability in spare parts management.

In this context, individual item criticality should be considered, which describes how crucial a spare part is. This paper presents a three-dimensional classification approach for spare parts regarding a cross-plant central warehouse strategy of a service network. The approach uses two dimensions to estimate value and predictability of spare parts with aid of an ABC and XYZ analysis.

The third dimension VED analyses a multi-criteria criticality classification and six feasible criteria are identified to describe item criticality. The methodology of the analysis is based on a decision tree, which represents the defined criteria by nodes. In addition, the analytic hierarchy process is used to solve the multi-criteria decision problems at the different nodes of the decision tree. The approach is developed in a Research project and evaluation of spare parts is performed based on real inventory and transaction data in cooperation with an industrial company.

As a result 15, out of 50, items could be classified as suitable for central warehousing. As soon as the specific targets and additional conditions have been achieved, the most suitable enterprise to execute the activity must be chosen. In the following article, the activity model presents the connections and logical sequence of the activities within the company overlapping business processes. The Organization units are identified in an Organizational and Resource Model.

To meet the requirements of communication and cooperation across companies, it is attempted to implement this agent technology with web parts. The reason is an incessanlly growing product range with conslantly decreasing life cycles therefore ramp-ups have to become more efticient and faster.

Characteristic for nunp-up processes are instable business pwcesses, leading to a! The approach of Overall Equipment Effectiveness OEE simulation presented in this paper allows simulating the inslabte state of a procluction system during ramp-up. Thus, tbe production planncr is supported cluring ramp-up planning and the actual ramp-up period.

Using OEE Simulation the planner can identify deviations from the target ramp-up cprve at an early stage. Production ramp-up has become one of the most decisive factor influencing profit and market share of a new product. The big challenge in production ramp-up is to reach the planned output by reducing time and costs. Over the last years product range is increasing and life cycle of the products is decreasing. This circumstance makes a controlled production ramp-up more difficult and therefore more and more ramp-ups are running out of their financial budgets and their time schedules.

One of the most important influences on time and money is the quality development during production rampups. The ability to control the quality while increasing the output is the key success factor for an effective ramp-up [1].

In this paper a method is introduced which allows a quality prognosis during production ramp-ups by using simulation methods. This simulation model is based on business-processes and supports the ramp-up manager to forecast qualityrates and machine availability during the production ramp-up.

Thus this tool can support the ramp-up team to stay within their financial budgets and time schedules. The core challenge of an industrially applicable and economic production of wear resistant micro components and systems is the establishment of both robust and flexible manufacturing process chains. In order to guarantee those stable micro chains manufacturing processes have to be controlled and continuously improved by an effective and fast interfering operational quality assurance.

The key instrument of an operational quality assurance consists in controlling the manufacturing processes via control charts. Due to the stochastic performance of micro process chains new types of quality control charts adapted to micro production constraints such as measurement uncertainty have to be developed and are discussed in the following. Due to dramatically reduced development times and product-life-cycles the control of production ramp-up isan important criterion for the companies' success.

The aim of the shown research project sponsored by theGerman Research Foundation DFG is the optimization of ramp-up, by developing a solution method whichallows a quality-simulation of the instable production processes during ramp-up.

To achieve this, the expecteddevelopment of the quality-capability of the instable production-processes will be anticipated by the exampleof metal cutting manufacturing. Based on standardized elementary processes, the developed simulation forecaststhe capability of the production-system and the variable needs of resources during ramp-up.

High precision engineering has a great technological potential regarding the manufacturing of micro technical products. In this field micro cutting is due to its flexibility and the possibility to produce complex three dimensional geometries in a broad variety of different materials of special importance. However, milling and turning in micro dimensions follow special rules caused by size-effects.

Successful micro cutting depends on reliable processes and therefore on the knowledge about parameter adjustments and process characterization. By means of micro cutting test series and statistical analyses effects and interactions of process parameter variations for work piece material, cutting edge radii, cutting speed, and depth of cut were identified and mathematical quantified. The results show a significant influence of the mentioned factors on the response variables. Therefore, a linear model for specific cutting force and surface roughness is proposed.

Furthermore, the findings are compared to the empirical cutting model of Victor-Kienzle in macro dimensions. The ubiquitous globalization, which opens up new markets with their specific local conditions and labor costs, as well as the increasing pressure regarding time, costs and flexibility lead to the decentralization of the value added. The resulting global value added networks, consisting of company-owned and external sites as well as logistic partners, have to be configured, operated and optimized.

An important criterion for these networks is their ability to a fast and efficient ramp-up. Therefore production ramp-ups are gaining more andmore importance. Production ramp-ups are characterized by new products, newproduction technology and instable business processes. One main problem toachieve planned output and efficiency targets is the availability of human andtechnical resources during production ramp-up. In this paper, a new simulationbased resource planning method for production ramp-ups is introduced.

Themethod supports resource planning during production ramp-up based on businessprocesses,quality of production processes and operational availability ofmachinery. Next to theory a prototypical implementation and simulation results arepresented.

Die wesentliche Herausforderung für eine industriell umsetzbare Mikroproduktion ist die Entwicklung robuster und flexibler Fertigungsprozesse. Um Robustheit und Flexibilität auch in Mikrodimensionen zu realisieren, müssen die Fertigungsprozesse durch eine schnelle, fertigungsnahe und den mikrospezifischen Besonderheiten entsprechende Qualitätssicherung kontinuierlich geregelt und verbessert werden.

Bisher sind Mikrofertigungsprozesse durch eine hohe Variabilität aufgrund der höheren Anzahl signifikanter Einflussfaktoren bestimmt.

Darüber hinaus liegen die Toleranzanforderungen mikrostrukturierter Bauteile im Mikro- und Submikrometerbereich, was höchste Genauigkeitsanforderungen an die Messverfahren stellt.

Um Mikrofertigungsprozesse basierend auf Messdaten zu regeln, muss der erhöhten Bedeutung der Messunsicherheit und der Messstreuung im Vergleich zu den geforderten Toleranzen Rechnung getragen werden. Messdaten zeigen dabei immer eine Überlagerung von Fertigungs- und Messstreuung, die im Falle höchster Toleranzanforderungen zu falschen Entscheidungen bezüglich der Annahme oder Ablehnung von Bauteilen führen kann. Es wird sowohl ein neuartiges Qualitätsregelkarten-Design als auch ein Regelkreis zur Kombination von Statistischer Prozessregelung und Statistischer Modellierung, welche im Rahmen des SFB entwickelt wurde, vorgestellt und diskutiert.

The participating sites, partners and suppliers have to be selected according to their specific capabilities. Thereby the configuration has to respect not only the actual status but also the different dynamic influences of the nodes of the network themselves but also of the connections between them. This article presents an approach for the configuration of global value added networks using Business Capabilities with special consideration of the ramp-up behaviour of the single elements.

This article describes a concept for the configuration of global Value Added Networks based on Business Capabilities. Business Capabilities are used to describe the planned added value and the abilities of the existing nodes own sites or partners within the network, without having to define used technologies and resources. A matching of Business Capabilities needed for the planned added value and of Business Capabilities provided by potential nodes, allows an assignment of added value content to these nodes.

On node level and thereby decentralized the Business Capabilities can be combined with suitable technologies and resources. This combination is defined as Value Added Module. By composing needed Business Capabilities or Value Added Modules, different network alternatives can be configured and compared. These alternatives of the Value Added Network can be evaluated based upon a predefined target system.

The article presents the concept of Business Capabilities and an outlook to a supporting IT-solution. In order to guarantee those stable process chains, manufacturing processes have to be controlled and continuously improved by an effective and fast interfering operational quality assurance that is adapted to the micro-specific framework.

Since tolerances of micro-structured parts are in the micro- and sub-micrometer range, geometric measurement results have to meet high requirements in terms of precision and reliability. Therefore, in order to control manufacturing processes in micro production based on measurement data the increased importance of measurement uncertainty and measurement variation has to be considered.

Measurement data show an interference of measurement and manufacturing distribution and can lead to wrong decisions when deciding whether the micro manufacturing process is in or out of control.

Thus, the focus of the paper lies on continuously monitoring, controlling and separating measurement and manufacturing variation in a flexible, simple and reliable manner. The paper shows the application of the statistical resampling technique called "TheJackknife" to compute uncertainties of measurement results in coordinate metrology,introduced by the reduction of a point cloud to an ideal substitute geometry.

Inaddition, a method is proposed which uses the computed Jackknife data to analyze theinfluence of single touch points on the measurement result. Exemplary, the procedureis applied to a point cloud of a 2-dimensional circle. For the measurement of micro mechanical workpieces multi-sensor coordinate measurement machines are widely used due to their flexibility. Because of this flexibility many decisions regarding the measurement strategy have to be made.

The planning process demands a lot of knowledge and experience from the user. This is especially true for the measurement of micro structures, since many effects need to be considered. In this talk challenges in micro coordinate metrology and solutions to support the user during the planning process are presented.

This paper outlines a threefold methodological approach integrating dimensional measurement, virtual tests of measured real gears and physical tests of real gears. As a demonstrator for the presented methodology high-loadable microgears made of zirconium oxide are used. Due to the higher number of significant influencing factors microstructure, temperature etc. With regard to micro cutting, the roundness of the cutting edge and microstructure properties of the machined material have a great impact on the achievable surface quality.