Heinz Nixdorf Institute

Paderborn, Germany

Heinz Nixdorf Institute

Paderborn, Germany
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Weber J.,Heinz Nixdorf Institute
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST | Year: 2017

In order to determine valid production results in the area of NC-based tooling machine, complex simulation tools are used. The challenge is the calculation of the material removal, tool paths as well as valid setup positions of workpiece and periphery which leads mostly to high computational time. The descent of the computational effort includes a high portion of systems engineering. This contribution shows a theoretical concept to substitute complex simulation models by calculation models which observes the inverse kinematic behavior of the machine in combination with a NC-parser which estimates valid workpiece positions. The contribution compares model approaches of inverse kinematic problems considering 5 axis tooling machine to determine valid setup positions and minimize theoretical calculation effort. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017.


Weber J.,Heinz Nixdorf Institute
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST | Year: 2017

Intelligent connected systems for the successfully implementation of collaborative work systems in the areas such as Internet of things/Industry 4.0 require a knowledge management system which offers opportunities to work on one task with different organizations on the same time. Cooperative work in the field of setup preparation for production systems is one challenge for an efficiency and infallibly work preparation. One example is the validation and optimization process for NC-programs, which is offered by CAD/CAM interfaces as well as the experiences of the worker uses the machine. Planned production processes are simulated by the CAD/CAM-programs. Optimized setup data are provided to the worker using the setup. The challenge is to provide a service to handle the dataset of job information, optimization information and setup information for many users in order to manage databases and data sets. The approach deals with a system concept of an implementation of a production optimization tool embedded by a collaborative platform containing access by a Multi-User-Agent to manage setup parameters direct from the simulation to the machine as well as proved job management workflows. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017.


Timm T.,Heinz Nixdorf Institute | Blecken A.,Heinz Nixdorf Institute | Blecken A.,University of Paderborn
International Journal of Production Research | Year: 2011

Growing competition creates pressure among companies to run their production in a cost-optimal way and yet adapt immediately to changes in their environmental conditions. Decisions must always consider the integration of the companies in globalised markets on both the demand and supply side. This paper deals with the optimal planning of decisions concerning the structure and dimension of production facilities. The methods used for material requirements planning are selected and configured according to these decisions. These decision problems are represented in the form of four hierarchically layered partial models, each of them realised and iteratively solved by a mathematical optimisation model. The hierarchical planning method is evaluated using a practical case example based on a valve production system of a manufacturing company. © 2011 Taylor & Francis.


Hassan B.,Heinz Nixdorf Institute | Berssenbrugge J.,Heinz Nixdorf Institute | Al Qaisi I.,Heinz Nixdorf Institute | Stocklein J.,Heinz Nixdorf Institute
Proceedings - 2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013 | Year: 2013

The development and test of advanced driver assistance systems (ADAS)present a challenge due to their complexity and dependency on other vehicle systems, initial conditions and their environment. Testing ADAS under real conditions leads to significant efforts and costs. Therefore, virtual prototyping and simulation are widely used instrumentsfor developing such complex systems. One of these useful virtual prototyping tools are driving simulators.Driving simulators are usually special purpose facilities, which are developed by suppliers individually for a specific application purpose. Most of the conventional driving simulators provide some flexibility for constructing new test scenarios, but do not allow users to change system arrangementor add or remove subsystems without in-depth know-how of the driving simulator structure.This paper describes the concept and main idea of a reconfigurable driving simulator for testing ADAS. The key software, hardware, and resource components of the driving simulator are identified, the interfaces and the relationships between the key components are described, and the overall system structure for the reconfigurable driving simulator is introduced. © 2013 IEEE.


Radkowski R.,Heinz Nixdorf Institute
Proceedings of the 8th International Symposium on Tools and Methods of Competitive Engineering, TMCE 2010 | Year: 2010

The paper presents an Augmented Reality (AR) application for a design review within the automotive development. Objective of the work was to identify use cases and functions that are essential for an AR-based design review. For this purpose the use cases and a set of functions are presented, which add value to the design review process and enhance the existing methods. The uses cases are the design review of virtual car in a real environment and the preparation of real prototypes. The functions are a virtual construction kit, realistic illumination as well as multi-viewer support. The functions have been tested; some user tests have been carried out. The results show AR enhances the design review process using realizable and established techniques. The paper summarizes the work in the field, which has been accomplished between 2003 and 2008. © Organizing Committee of TMCE 2010 Symposium.


Blecken A.,Heinz Nixdorf Institute
Lecture Notes in Business Information Processing | Year: 2010

In the past decade, logistics in the context of humanitarian operations has more and more moved into the focus of logistics practitioners and academics. While humanitarian organisations have realised that a major part of disaster relief spending can be attributed to logistics and supply chain management activities associated with humanitarian operations, researchers have found that the area of logistics in the context of humanitarian operations gives rise to a number of unique and interesting challenges. This paper is meant as an introduction to the track Humanitarian Logistics at the 8th International Heinz Nixdorf Symposium. A recent natural disaster helps to elaborate the domain humanitarian operations. A number of important definitions are presented. Moreover, some of the specific characteristics and challenges of logistics in the context of humanitarian operations are described. © 2010 Springer-Verlag.


Danne C.,Heinz Nixdorf Institute | Hausler P.,Freudenberg Household Products
Lecture Notes in Business Information Processing | Year: 2010

Complexity management and management of assortment variety in particular is the subject matter of many strategic decisions in consumer goods industries. As the assortment of a company evolves continuously by introducing new or discontinuing existing products, the most important question is what effects on the configuration of the production and distribution network and related costs can be expected if the assortment is changed in a particular way?. This work presents the concept for a decision support system (DSS) that evaluates the most relevant assortment dependent cost positions for a production and distribution network, focusing on the areas of inventory management and production execution. An overview of the prototype DSS implementation Complana and its sample application to the cloths' supply chain of an international household product manufacturer is given. © 2010 Springer-Verlag.


Montealegre N.,Heinz Nixdorf Institute
Proceedings - 2012 IEEE 1st AESS European Conference on Satellite Telecommunications, ESTEL 2012 | Year: 2012

A distributed satellite system is composed of several small satellites working collaboratively or symbiotically together on a satellite mission. In such a system, fault detection can be executed in a similar way the distributed and specialized cells of the biological immune system find and counteract sicknesses. This paper proposes the use of an agent-based artificial immune system model for the detection of faults. The method takes into account the reduced memory and computational resources that small satellites have, applying control of population of agents through death and reproduction, and dimension reduction of the signatures that identify the agents. Simulations of the dynamics of the population of agents, of a model adjusted to a system with several satellites, shows emergent properties for encountering faults and counteracting them correspondingly.


Radkowski R.,Heinz Nixdorf Institute
Global Product Development - Proceedings of the 20th CIRP Design Conference | Year: 2011

This chapter presents an approach for the automatic combination of different models in order to build-up a virtual prototype automatically. Semantic Web techniques are used for that purpose; aim of the work has been to verify if Semantic Web techniques are suitable for that purpose. Therefore, the models that need to be combined become semantically annotated. The items of 3D models and multibody systems are presented, which need to be annotated in order to facilitate an automatic combination of these two types of models. To combine them the relations between both models need to be identified. A reasoning mechanism is presented that indentifies these relations. The automatic combination of models simplifies the build-up of virtual prototypes. In future, it facilitates complex virtual prototypes that consist of multiple models. Due to the addition of a semantic to the models, the virtual prototype is denoted as Semantic Virtual Prototype. © Springer-Verlag Berlin Heidelberg 2011.


Montealegre N.,Heinz Nixdorf Institute | Hagenkotter S.,Hesse and Knipps Semiconductor Equipment
Journal of Intelligent Manufacturing | Year: 2012

Ultrasonic wire bonding is one of the most frequently used techniques in semiconductor production to establish electrical interconnections. Improper bonding process parameters, wire or substrate contamination or low substrate quality are some of the causes of failed bonds. Process integrated wire-bond quality control techniques compare process feedback signals to a reference formonitoring online the quality of a bond. The feedback signals sampled at high frequencies, constitute high dimensional vectors representing the bonding process characteristics. In the area of online bond failure detection, dimensionality reduction of the input signals and feature extraction of the characteristics of the process are very demanding. Cytokine-Formal Immune Network (cFIN) is a procedure for pattern recognition which presents a low recognition failure rate and a fast recognition due to the reduction of dimensions and feature extraction of the training pattern data set produced in the learning phase. We use cytokine-Formal Immune Networks for recognizing faults present during the wire bonding process. The recognition methodology is intended to be applied into a process integrated quality control system. Further an automated optimization procedure has been developed to find optimal cFIN training parameters. Very promising results for two wire bonding process setups are shown in this paper. © Springer Science+Business Media, LLC 2010.

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