The lecture presents a method for the automated design and calculation of progressive dies. The basis is an automated CAD modeling of progressive dies. From the created CAD models characteristics are derived, which are used as input parameters for prediction models to predict the tool costs.
tool making, quotation costing, data mining, prediction
The implementation of interactive assistance systems such as data glasses is a further step towards the smart factory to master the complexity in production and logistics by increasing customer requirements. To demonstrate the potential and the benefits of these technologies to small and medium enterprises (SMEs), a compendium was developed as part of the research project 4.0 Ready, which provides an overview of existing assistance systems. During the project maturity models are developed to support SMEs in holistically and systematically planning and controling the implementation of interactive assistance systems.
interactive assistance systems, industry 4.0, maturity models, data glasses
The presentation introduced the research project FTF out of the Box to the audience. The presentation focused on the speech- and gesture-based control of automated guided vehicles that was develeped by IPH.
digitalization, automated guided vehicles
The presentation introduced the research project FTF out of the Box to the audience. The presentation focused on the speech and gesture control develeped by IPH as well as the project results developed by Jungheinrich AG.
digitalization, automated guided vehicles
Automated guided vehicle systems (AGVS) are an example of high-performance production systems in intralogistics and in many areas of internal material transportation. The essential function of an AGVS is the automatic control of automated guided vehicles (AGVs) which can be equipped with application-specific load handling devices ( e. g., telescopic forks or lift tables). Therefore an AGV is used in different application fields such as pallet transport, installation or commissioning. In this project, a speech and gesture control and autonomous navigation for AGV are implemented.
AGV, speech control, gesture control, autonoumous navigation
Automated guided vehicles (AGVs) with autonomous behavior and decentralized human-machine interaction (HMI) are suitable for use in logistics. To facilitate natural interaction, HMI may involve both speech and gesture control. This paper presents a new cognitive approach based on electroencephalography (EEG) for multimodal HMI combining speech and gesture control for AGVs used in logistics. The results indicate that implicit EEG-based measures such as alertness and relaxation significantly affect speech control performance. Consequently, monitoring the user's cognitive workload during logistic operations may lead to a substantial improvement in work performance.
logistics, cognitive robotics, electroencephalography
In this presentation the results of the research project "FTF out of the box" are presented. The focus is on the innovative man-machine interface based on a voice and gesture control which was developed by IPH.
man-machine interface, voice control, gesture control, AGV
Automated guided vehicles are well established in modern production environments. Once installed the automated guided vehicles are able to automatically transports good inside the factory. The set up of the system is still a laborous task with high planning costs. Besides the right choice of vehicles and the right controll strategy, the planning of an efficient roadmap is one of the major time consuming tasks. The planning of the roadmaps is mostly performed manually. Experienced system planners decide if a roadmap is feasible or has to be adapted. Aim of this project is to design automatically roadmaps that are both efficient and applicable for AGVs. The planning phase of the roadmaps should be reduced from several weeks to a few hours. In the end a ressource-efficient and standardized planning is aspired.
AGV, road map planning, fuzzy logic
Free information around the topic Industry 4.0 is offered by “Mit uns digital! Das Zentrum für Niedersachsen und Bremen“ (literally translated as: Go digital with the Centre for Lower Saxony and Bremen!). The experts provide trainings for specialists and executive managers and support them when implementing their digitalization projects.
industry 4.0, digitalization, training
The future belongs to forging preforms that are designed automatically: IPH is presently working on a software programme based on evolutionary algorithms, allowing companies to save valuable development time and improve the efficiency of forging processes.
forming technology, forging, preform, evolutionary algorithms
Rising electricity prices for industrial companies result in increasing energy costs and thus lower international competitiveness. Due to increasing electricity price fluctuations, savings in energy costs without capital-intensive investments are possible by implementing specific organizational methods to process energy-intensive orders at times of low prices and energy-low orders at times of high prices.
energy costs, energy price, manufacturing control, sequencing
Rising electricity prices for industrial companies result in increasing energy costs and thus lower international competitiveness. Due to increasing electricity price fluctuations, savings in energy costs without capital-intensive investments are possible by implementing specific organizational methods to process energy-intensive orders at times of low prices and energy-low orders at times of high prices.
energy costs, energy price, manufacturing control, sequencing
Disassembling of large-scale products (e. g. wind energy plants, crane and conveyor systems which are known as XXL-Products) becomes increasingly important, as the operating time is limited. The challenge is to optimize the positioning of the complex and expensive disassembling on the operation site on the one hand and the costly transportation of modules to the disassembling factories. For this reason the location and allocation problem will be pictured in a mathematical model within the research project “DemoNet”. This model supports companies to create a XXL-disassembly-network. The research hypothesis assumes: a disassembly under ecological, economical and logistical aspects constitutes the optimum. The extension of a location planning tool forms the basis of the mathematical optimization model for the disassembly of XXL-Products. For solving the problem a genetic algorithms will be used. The result helps companies to arrange disassembling networks for XXL-Products efficiently.
dismantling planing, dismantling networks, impact model
The generation of bulk metal forming processes needs a lot of time. Researchers construct and simulate many days until a forming sequence without defects is found. At IPH a algorithm is supposed to predict a simulation result within one minute based on the constructions made.
Artificial intelligence, FEA
Assembling large-scale products involves frequent process interruptions. To reduce the duration of an assembly stop, the WZL of RWTH Aachen University and the IPH Hannover developed an approach which is able to identify alternative assembly plans and to evaluate them on the basis of the logistic performance objectives. Stock, capacity utilization, lead time and adherence to schedule are transferred into costs and assembly plans are thus comparable based on one parameter.
production planning and control, assembly, logistical objectives
Within the research project "Situational behavior control for interactive, automated guided vehicles" a voice and gesture-based control concept was developed and implemented on an automated forklift truck. Based on an industrial application the economic value of this system is to be reviewed in the context of a material flow simulation.
gesture control, speech control, automated guided vehicles
A factory planning is currently being assessed either at low cost and qualitatively by experts or quantitatively by a simulation model. A review by simulation model is both more costly and time-consuming and a big burden for small and medium enterprises. This article describes the procedure of a research project and the selection of evaluation fields that will in future allow a low-maintenance and at the same time quantitative factory evaluation.
factory planning, quantitative factory evaluation, simulation model
Controlling the time synchronicity of supply processes for assembly requires a quantitative measure. An existing controlling instrument, the supply diagram, already provides an effective way of assessing the supply situation. It incorporates different key figures which allow for an evaluation of a company’s supply process coordination. However, it lacks a key figure for describing the level of time synchronicity. Therefore, a quantitative evaluation of actions to improve the time synchronicity in supply processes is not possible. Based on an existing approach of approximating the completion of full assembly orders, a key figure for describing the level of time synchronicity is developed in this article: the synchronicity factor. As this new key figure is dependent on the average number of components required for one assembly order for the regarded time period, a second measure, the relative synchronicity factor, accounts for this number and can thereby be used to compare different time periods. As the numerical calculation of the synchronicity factors is a complex problem, the possibility of applying a simple hill climbing algorithm to accurately determine the synchronicity factor for a certain supply situation is examined.
Production planning and control, supply chain management, supply diagram, time synchronicity
Within this article a decentrally controlled, intelligent material flow system is presented. The novel product routing is based on a decentralized intelligence and conducts the route planning of the individual materials. The decentralized intelligence permits an expansion or adaption of the production line at any time without significant configuration. In addition, the networked decentralized intelligence allows a parallel flow of material and information, and an identification of the layout of the entire conveyor system. Another core element is the decision-making cognitive conveyor, which is composed of small-scale conveyor modules. In addition to transporting, injecting and ejecting a variety of intralogistics functions can be solved with the cooperation of these conveyor modules. For this cognitive conveyor a drive solution is presented that meets the requirements in terms of functionality and compactness.
Decentralized Intelligence, Material Flow, Cognitive Conveyor, ProductionML, Routing
In this article a small scale, cyber-physical conveyor system using the example of a cognitive conveyor is presented. This cognitive conveyor is modularly assembled of individual conveyor modules that are smaller than the transported units. Furthermore the cognitive conveyor is in the position to handle different intralogistical functions such as transport unit's transporting, rotating, buffering and sequencing. Parallel to the route of the physical transport unit, a data shadow is moved: Hereby all data describing the transport operation are available at any time of transport. Cognitive conveyor's control is decentralized and distributed. Hereinafter both the hardware setup of the conveyor modules and the necessary control algorithms are described. The control algorithms are on the one hand used to move the physical transport unit on the surface of the cognitive conveyor. On the other hand it is utilized to align the data shadow with physical transport unit's information.
cyber-physical conveyor technology, decentralized control, material flow, ProductionML
