Planning and construction restrictions require the development of tools for interdisciplinary planning (production planning and building planning). For this purpose, the building information modeling must be merged with a 5D planning. The object-oriented 3D design is complemented by the time as the fourth dimension. Dependencies with regard to the construction period are linked to the 3D model in order to optimize the structural measures in terms of their scheduling processes and dependencies. In this process, a single building should be considered especially in its location on a total production site. Data and process connections of the calculation, the model-based triggering of orders, billing and store data for commissioning and maintenance are interconnected as a fifth dimension. Read More »
Interfacing virtual reality with optimization methods for accelerated deployment of facility logistics systems
The aim of the project is to develop a framework for interfacing established design and optimization methods in operations research with techniques in virtual engineering. The questions in focus are designs and methods of the materials supply and materials provision in factories of the future. For this purpose, the principles of process structure should be specified for the field of facility logistics design. Moreover, the methods for interfacing agents are to be developed and classified in terms of specific design modules. Finally, these results should be implemented in the general design process of facility logistics systems. Methods and tools of model-based systems engineering should be applied. Read More »
Systematic selection of strategy and technology for planning and realization of cyber-physical systems based on functional stages
The selection of strategy and technology requires an initial analysis of basic technologies and solutions for realization of Industry 4.0. Important goal of the project is to extend modeling methods for specific business processes for Industry 4.0. Existing modeling methods for business processes, e.g. ARIS, Value Stream Mapping, SCOR, must be adjusted and expanded to visualize functional requirements for technological adjustments, e.g. via retrofitting or investment measures. In addition, new adjusted approaches for economic evaluation such as new methods of business case calculation shall be developed and extended. Based on the data of production and sales planning and beneficial effects (in all I4.0 relevant dimensions like costs, flexibility, individualization, responsiveness) the goal is to evaluate the benefit of the cyber physical systems’ (CPS) effect onto company’s performance. The developed methods and tools shall be integrated into decision-making processes for determining suitable strategies for evolutionary implementation of CPS. Read More »
Future industrial systems 4.0 will facilitate that resource efficiency and effectiveness can be continuously planned, implemented, monitored and autonomously optimized. Energy efficiency will take an important key role, however their implementation today take place only in individual processes or clearly defined function chains. It is often disregarded, that the energy flow and related energy efficiency dynamically depends on various interdependent parameters such as the system load, production structure and resource configuration, which can be strongly influenced by permanent factory planning. The high adaptability of future intelligent production systems requires an equally adaptive and intelligent energy efficiency monitoring and implementation cycle as well. In particular, research activities are required on how energy efficiency of a single process step will be linked with other process steps or how the impact of “foreign characteristics” will influence the energy efficiency. The development of general methods, constant and flexible process parameters and indicators as well as their propagation along the function chain of flexible production systems should be the subject of the work. Read More »
The project is supposed to deal with the standardization of the planning process to support the involvement of participants of different specialist fields into the planning process and to improve collaboration. The systematic involvement should enhance acceleration of the planning process. Therefor it is necessary to create standards in processes, methods and data. According to different goals standards enable the deduction of standardized planning process configurations in terms of defined process modules. The analysis of necessary in- and outputs of planning steps is particular important. The planning steps are associated to different specialist disciplines and are characterized as highly interdependent. Furthermore the focus is on the formulation of a syntax and a semantics that enable the application of automated planning tools (e.g. AI-Planning). Read More »
In order to support an efficient adaptation factory planning process, a detailed and flexible data base is necessary which contains, e.g., information about process time and energy consumption of the machining processes. This information can be used for a suitable selection of machine tools taking the required quality of the machined workpieces into account.
However, this information is often not available – especially for the machining of new products and components. For this purpose, simulation systems are suited to analyse the virtual machining and to evaluate the process on different machine tools and with different process parameter values.
Within this project, an existing simulation system for the analysis of machining processes should be enhanced and qualified for the application in the factory planning process. For this purpose, characteristic parameters (e.g. quality of the machined components, process time, process reliability) should be identified and implemented in the simulation system. Especially, an empirical model to describe the energy consumption should be investigated. In addition, methods e.g. for an intuitive visualization of the simulation results should be developed which supports the decision process within the adaptation factory planning. Read More »
Intelligent cloud-based repository for automated composition and configuration of planning workflows
The goal of the dissertation project is the design and implementation of an intelligent repository of IT-supported planning methods and tools, which will be used to support the factory planning process via a cloud computing platform. The intelligent repository supports automatic deployment and integration of tools into planning workflows. The repository is a highly structured collection of workflow- and software components that can be automatically located and retrieved on-demand and that can be automatically configured and composed for deployment in complex workflows. Automatic component composition and configuration is at the core of the intelligent repository and will be realized by adaptation and extension of the framework CLS for combinatory logic synthesis which has been developed at the Chair for Software Engineering. The cloud platform enables flexible deployment of IT-resources for planning processes. Taxonomic structures and data- and information models of the interdisciplinary domain will be developed and integrated into CLS. Read More »
Decision support in the context of adaption processes has a need for sophisticated tools to be able to handle the complexity of associated decision problems and to accelerate the adaption process itself. Such processes usually require the selection of multiple manufacturing components that must satisfy a multitude of decisive factors. This means that the component selection problem is a complex multi-criterial optimization task with a lot of constraints to consider. Here, it is often not possible to decouple single decisions. The choice for a specific material flow system e.g. may influence the work space requirements for a handling robot due to differing transfer positions. Therefore, the objective is to develop an action and decision model in terms of a virtual testbed to provide a flexible simulation environment for the detailed investigation and comparison of design alternatives (w.r.t. material flow systems, controllers, robots, etc.). The user should be able to manually influence the simulation experiments of the associated semi-automatic virtual component selection process at all times. The resulting decision support system must be able to semi-automatically calculate optimal solutions, and to support all adaption decisions within the context of process oriented plant models. Read More »
Stochastic discrete event simulation is a common approach for the model based evaluation and analysis of manufacturing systems. Usually models are generated manually and experiments are planned in advance. To cope with the dynamics of adaption processes in current manufacturing systems, the configuration of simulation models and the control of experiments have to be automated to a large extend. This automation requires specific methods and algorithms which are currently missing. In this project an available simulation approach based on process chains should be extended in such a way that simulation models can make use of field data during runtime and exploit this data to predict the future evaluation of the system for different control strategies. Based on experimental results new model configurations and corresponding experiments should be generated automatically to evaluate new scenarios quickly. The work requires theoretical methodological work in simulation as well the practical realization of the approaches in contemporary computing environments. Read More »
Objective of this sub-project is the development of an integrated management control approach. On the one hand it shall provide instruments and methods to early detect potentials of adaptation. On the other hand it shall support the assessment and timing of these change processes. It is essential to link the early structuring of risks and opportunities of the early detection to the control of the change processes, likewise organizationally and substantially. Time based cost accounting is a promising approach for time-based control. Furthermore, project management instruments shall be tested for their potential to find solutions. For instance allow half-life concepts to estimate the implementation length of planned improvements. In this project, management control as a cross-sectional function requires profound technical understanding. The implementation of this project is associated with intensive communication with related disciplines, especially mechanical engineering and information science Read More »