Abstract: The Ultra-Efficiency Factory provides a framework for decoupling resource consumption from an increase in productivity. It takes a holistic perspective and opens a pathway to sustainable growth. The Ultra-f-check method combines technological, organizational and human-centred dimensions, helping companies to align their production systems with the framework of the Ultra-Efficiency Factory not only by providing a scalable step-by-step approach but also by finding best-practise solutions and conducting holistic, simulation-based assessments.
Abstract: The Production structure has a significant effect on manufacturing efficiency, but due to a large number of possible structures there is a lack of methods to systematically define the optimal product structure for a given production program. The described method creates a defined number of possible manufacturing cells from workshop production to line production. This allows the identification of a suitable production structure by simulating the resulting variants. The method is validated by a real case scenario.
Abstract: Manufacturing companies have to adapt existing factories due to changing customer demands and new technologies. The coordination of several engineering changes in manufacturing systems is a key factor for the efficiency of their implementation. In this paper, a concept for planning and controlling of multiple engineering changes is presented. The concept includes the preselection, planning and execution of engineering changes. The engineering changes can be classified with regard to their relevance and urgency. The needed work steps for the implementation are deduced from the software-based planning and the time schedule for the work steps is created. The work steps are monitored while executing and events are initiated, if necessary. The concept is implemented in a software demonstrator and validated through this software.
Abstract: Startups can substantially contribute to the industrial development in the early and newly industrialized countries by transforming technological inventions into products and services. By means of the market dynamics of cooperation and competition in global value creation and knowledge networks, new products and services can conduce to a global industrial development. Hence, in pursuance of an efficient and effective startup development, this paper will present a new methodology for the integrated development of the product and of the business model for a hardware startup. Hardware startups address the development of innovative tangible products. The hardware product itself may consist of mechanical, electronical, and software components. The methodology is based on a micro cycle for the problem-solving procedure on the level of single process steps as well as on a macro cycle as procedure for the overall integrated development of the startup. For each phase of the macro cycle, specific modelling methods for the product and business model are proposed. Finally, a proof of concept on the basis of a student startup, which is developing a micro wind turbine, will be presented.
Abstract: Today’s manufacturing companies are exposed to the challenge of fulfilling constantly growing and heterogeneous customer expectations. Simultaneously, the demand for delivering the highest quality in shortest time increases strongly. One way to handle these requirements is the highly iterative product development approach. By distributing development processes in short and iterative sub-processes, this method generates customer oriented and marketable products. However, most producing companies fail by trying to adopt the short-cycled concept without considering the suitability of these methods for the respective project. According to that fact, this paper aims at the presentation of a methodology which shows how to evaluate and select highly iterative product development methods for individual development scopes. A first application of this methodology indicated affirmative results regarding to the practicability within a startup enterprise. Still, there is need for further research, especially in the field of implementation.
Abstract: The increasing demand for product individualization and the challenges of globalization force manufacturing companies to expand their product range while keeping internal expenses low. To tackle the dichotomy between economies of scale and economies of scope, companies make use of modular product platforms and carry-over-parts. To improve the modular platform performance, it is crucial to define its structure in the early planning phase. In vertical direction, the modular platform structure defines considered technical solutions, whereas in horizontal direction, it is characterized by the products that use these solutions. When introducing or adapting modular product platforms of complex product portfolios, companies often make upfront decisions regarding the modular platform’s structure based on expert intuition. This mainly results from a lack of time, organizational restrictions and missing systematic approaches. The sheer number of product data associated with the products in the portfolio as well as the often missing transparency regarding existing components and interfaces force decision makers to decide in an intuitive approach. However, this hinders an optimal design of modular platforms and reduces the optimal performance exploitation. In order to increase modular platform performance and hence the company´s profitability, a holistic approach prior to the actual platform design process is required to determine the optimal modular platform structure for a complex product portfolio. The basis for this methodology is a generic descriptive model, which helps to describe current and planned products of a serial manufacturer’s portfolio in a structured way. The introduced methodology determines optimal modular platform scopes through systematic identification of anchor products by aid of Data Mining.
Abstract: In the future smart factories will satisfy the demand of highly customized products. Stationary and mobile cyber-physical systems (CPS), as part of smart factories will exchange various information. Most of that will happen wirelessly. Out of that reason, a concept for real-time wireless networking of mobile CPS based on LTE is presented in this paper. Through a combination of LTE with GPS and adaptive streaming schemes, a real-time capable wireless communication system seems possible. The paper specifies further the necessary and targeted technical requirements of industrial communication for mobile CPS. It concluded with methods to test, evaluate and validate the communication system.
Abstract: Virtual and augmented reality are two big buzzwords in the industrial context and they are increasingly used. A main argument for the use of virtual techniques are their economic benefits, which are confirmed by pilot studies. However there is a research gap on how virtual techniques influence the user. This study addresses the impacts of virtual environments on presence, usability and user experience compared to a real environment. Therefore two groups of participants take part in a geocaching tour through the real or virtual city center of Chemnitz and rate the presence of the environment as well as the usability and user experience of a mobile navigation application. The results of 60 participants show that there are general differences between the environments and verify the strengths and weaknesses of virtual environments: Virtual techniques have a positive influence on the user, like a more engaging experience and a perceived higher hedonic quality of the product. Beside these benefits the negative effects have to be considered too, because they influence the ratings of the user. This study shows the potential of virtual techniques for the user and also the deficits, that need to be improved.