Browsing by Subject "Kraftfahrzeugindustrie"

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Flexibilisierung synchronisationsdefekter Beschaffungsketten : Entwurf eines fachkonzeptuellen Datenmodells für Logistik-Anwendungssysteme am Beispiel mechatronischer Produkte in der Automobilwirtschaft
(2014) Weiss, Daniel; Kirn, Stefan
The thesis investigates supply chains of mechatronic products in the automotive industry. In the past supply chains often were considered as stable, intercompany relations with long-running general agreements, predefined services and service flows. Due to the differentiation of demand in the form of complex mechatronic products, those stable relations, nowadays, are increasingly fading. From a customer’s point of view “mechatronic supply chains” result in increasing information acquisition costs, as procurement decision alternatives along mechatronic supply chains are often defective (e.g. inadequately assessable). This loss of control during the procurement process occurs due to the fact that mechatronic products as well as their components and parts show a high level of variety, different technologies and divergent life cycle stages. With regard to an entire mechatronic supply chain, the thesis describes this observation as a synchronization defect. Since the specific attributes of mechatronic supply chains do not allow the use of standard synchronization methods, the thesis aims to flexibilize the supply chain by means of IT application systems. Therefore, in particular, the thesis designs a conceptual data model which reduces information acquisition costs during the procurement initiation and processing along mechatronic supply chains, opening up shorter reaction times and/or additional options for action. Conceptual data models describe business problems from an IT application systems’ point of view. The design of a new data model is required due to the fact that the investigated conceptual data models showed only a small benefit related to the problem. The investigated models often were too unspecific and/or designed for other purposes (e.g. other tasks, industries).
The compatibility of lean and innovation - The coevolution of lean management and innovations in the automotive industry
(2022) Pischl, Carolin; Pyka, Andreas
In the automotive industry, original equipment manufacturers (OEMs) face the challenge of being innovative and lean at the same time. This ambidexterity influences their research and development strategy as well as their production system strategy. Considering that until today no consistent definition exists of innovation within the literature, a multidimensional approach is used in this work, which focuses on three main objectives to analyse the compatibility of lean and innovation. Within the theoretical background, innovations are characterised based on their origin (generated or adapted innovation), type (process, product or organisational innovation), and intensity (incremental or radical innovation). Embedding this characterisation into the lifecycle theories of industries, technologies, and products displays the resulting complexity and leads to the drawing of connections between state decisions (laws and regulations) and society (megatrends), thereby creating a holistic theoretical framework in which OEMs have to align their production system strategy. The first objective of this work is to create a deeper understanding of the ambidexterity of the patent structure within the automotive industry focusing on OEMs and their production systems. The coevolution of lean und innovation is analysed in a long-term view using a statistical patent analysis. Until today, the question of whether companies should set their priorities in explorative or exploitative inventions to generate innovations has not been clarified explicitly. Therefore, a model combining ambidexterity (exploitation and exploration) with leagility (lean and agile) is defined and tested to obtain an enhanced understanding that the combination of being agile and being lean plays a key role within a lean production system and has a main influence on innovation. The second objective is to propose how a production system can successfully cope with external/adapted (incremental and radical innovation) innovation using lean principles. A model focusing on the target orientation of new concepts, methods, and technologies is defined and tested to obtain an enhanced understanding that lean must be integrated into the selection and evaluation process of innovations projects within the production system to ensure target orientation and make it possible to cope with innovation successfully. The third objective is to demonstrate how lean principles can be successfully integrated into innovation projects using augmented reality (AR) in assembly training. Modern workplaces equipped with large screens provide new employees with 2D and 3D information about the current task. Workers receive additional visual or haptic information through pick-to-light systems to prevent picking mistakes or smart tools, such as a screwdriver with torque and rotation angle monitoring. Over the last years, a various range of AR systems have been proposed. This shows that assembly training with head-mounted displays using AR and taking lean principles into consideration are as good as being trained by a trainer, which provides an enhanced understanding that lean principles must be integrated in process and product innovation projects to achieve the optimal output and ensure smooth implementation in the production system.
The evolution of innovation networks : an automotive case study
(2014) Buchmann, Tobias; Pyka, Andreas
Competitive pressure forces firms to continuously develop new ideas, invent new technologies and bring new products to the market in order to survive the destructive part of Schumpeterian innovation competition. This holds particularly for the automotive industry in Germany, challenged by firms from emerging markets which are able to offer their products for lower prices. In the competition for new technological solutions, competences and cutting-edge knowledge are success factors. New knowledge stimulates the emergence of new ideas that can be transformed into innovation. Such knowledge can partly be generated internally in the companies’ R&D laboratories. However, relying on internal knowledge generation is no longer sufficient. Participation in innovation networks which allow for access to external knowledge, and applying innovation cooperation as a strategic tool to acquire necessary knowledge which cannot be developed in-house opens up rich opportunities to complement and recombine the own knowledge-base. Thus, knowledge becomes the most important source of competitive advantage. In this dissertation, I analyze the drivers of innovation networks evolution among a sample of German automotive firms.
The evolution of innovation networks : the case of a German automotive network
(2013) Pyka, Andreas; Buchmann, Tobias
In this paper we outline a conceptual framework for depicting network development patterns of interfirm innovation networks and for analyzing the dynamic evolution of an R&D network in the German automotive industry. We test the drivers of evolutionary change processes of a network which is based on subsidised R&D projects in the 10 year period between 1998 and 2007. For this purpose a stochastic actor-based model is applied to estimate the impact of various drivers of network change. We test hypotheses in the innovation and evolutionary economics framework and show that structural positions of firms as well as actor covariates and dyadic covariates are influential determinants of network evolution.