Simulation

Container terminals are complex logistics systems. In order to achieve highly productive processes and an efficient assignment of the resources, optimization methods and simulation modeling are employed in practice. Based on a case study from the Container-Terminal Altenwerder in Hamburg, this contribution demonstrates how simulation and optimization can be applied to improve the processes related to reefer container handling. We show that optimization methods improve the efficiency of the reefer mechanic operations and how simulation models can support the development and evaluation of such methods in practice.

Virtual prototypes become more and more relevant in product development since they permit the early testing of machines and include the customer in the product development process. Virtual prototyping can help to decrease costs in service, development and sales as well as marketing. Hence, the creation of virtual prototypes is still a resource insensitive project. This article presents the results of the research project “INPROVY”. The approach uses a model based method for systematic creation of simulation models. It includes the product management perspective of simulation models and uses reference models for higher reuse. Based on a mobile construction vehicle, the creation of various simulation models and the management of product variants are discussed.

In the research project LUPO a hybrid simulation laboratory is build up. This combines the advantages of the computer simulation with those of a model factory. For the systematic recording, mapping and analysis of various production processes a procedure model has been created that responds to the special requirements (quick, flexible, effortless determination of informative results) of the project. A library of production objects facilitates the reutilisa tion of existing machines and hereby a reduction of simulation effort.

In a world of steady change, manufacturing companies face major challenges. They have to react quickly to an increasing competition and more and more individual customer requests. New technologies and organisational structures like RFID or decentralised and real-time based production control can deal with this issue successfully. The specific realization of selection and analysis of each production process of the company often approves to be difficult and cost intensive. Previous simulation approaches are frequently combined with high efforts in order to state credible propositions regarding suitability and economic efficiency. The present paper shows a new opportunity towards managing these disadvantages. Additionally, the advantages are combined with computer-based simulations of the model factory. A fast and flexible illustration of the analysed production processes is achieved.

The Autonomous Logistic Engineering Methodology (ALEM), which is developed within the Collaborative Research Center 637, provides several tools for creating models of autonomously controlled logistic systems. To evaluate such models, the ALEM framework is extended to include a simulation component. As the ALEM Models cannot run directly within simulation software, they are transformed using principles of the Model Driven Architecture. To enable the transformation several open source tools can be applied. This article evaluates a selection of such tools with the aim of integrating them into ALEM.

Dynamics and complexity of today`s production systems bring established approaches for production planning and control to their limits. Accordingly, developing new concepts and methods is a key point for research in this area. The combination of a decentralized control structure and innovative methods from the field of artificial intelligence seems promising here. Open source tools have proven their applicability to implement those methods. They are disposable and can be flexibly adapted to many problems. This contribution introduces an approach for the decentralized control of a shop floor. Here, artificial neuronal networks are used as adaptive control instruments. The simulation of these networks is performed with the open source tool Stuttgart Neural Network Simulator (SNNS) and its successor Java Neural Network Simulator (JNNS).

Considering new challenges in logistics planning and supply processes, companies are forced to plan their supply chains relating to more flexibility, effectiveness and cost reduction. Today, supply processes are planned once and never changed due to new demand or capacity situations. This article will introduce a new approach of integrated logistics planning combining demand and capacity planning (DCP) with supply planning concepts. The result is an Logistic Assistance System (LAS) as a new generation of Digital-Logistics-Software, which allows dynamic supply chain planning by providing DCP-functionalities with a simulation based approach. The developed simulation component is able to handle the complexity of high-value-added branches with efficient algorithms, to forecast the supply chain behaviour (future stock range, dynamic processes and resulting costs) taking different scenarios into account. It has been demonstrated to produce convincing results in different projects.

Virtual Engineering is an important tool to verify and optimise products in early design phases. For the development of innovative complex technical systems the applied models should comprehend the most important product properties. Up to now there are deficits in modelling and evaluating the acoustic behaviour of technical products although this is important in areas with rigid ergonomic and comfort requirements, e.g. in the consumer goods and automobile industries. In order to overcome these deficits, at the Ilmenau University of Technology a flexible audiovisual stereoscopic projection system (FASP) has been constructed. Consequently, investigations of the sound effects of machine components, machines, cars and other products as well as psycho-acoustic assessments of designed products in a virtual environment can be realized.

The market-oriented product development describes a focusing of needs, which leads ideally to high product quality and profitability. In the context of “Digital Factory” this paper focuses on the integrated product and process design, which is oriented to the physical part of the product. Due to the high product complexity, shorter product life cycles and increased competition situation is the product development faced with new challenges. Both the speed and the quality of planning should be improved further. Only the combination of organizational approaches and information technologies like for example “Simultaneous Engineering” and the “Digital Factory” promises a sufficient increase of planning efficiency. The following paper deals with existing methodologies and promising approaches in the field of “Digital Factory” against the background of an integrated product and process design. Referring to the requirements of logistics planning, an early integration of ...

The use of virtual engineering techniques in the field of product development requires a continuity of all digital development processes, workflows, tools and data. While this continuity is state-of-the-art on a level of geometric description it is still not achieved on a functional description level of product features. This paper analyses the state of the development and current problems in the process of introduction of virtual engineering in machine and plant engineering enterprises. Furthermore, the authors present their current research works in development of continuous digital process chains for product development.