Sabina JeschkeFaculty of Mechanical Engineering, RWTH Aachen University & Member of the Management Board for Digitalization and Technology at Deutsche Bahn
Sabina Jeschke
Prof., Dr. rer. nat.
About
732
Publications
204,939
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
6,020
Citations
Introduction
Additional affiliations
Education
February 2000 - April 2001
GATECH - Georgia Institut of Technology
Field of study
- Instructor, Mathematics
March 1994 - October 1994
NASA Ames Research Center
Field of study
- Student research project, Astrophysics
October 1990 - June 1997
Berlin University of Technology
Field of study
- Physics (add.: Mathematics, Computer Sciences)
Publications
Publications (732)
In case of Sudden Cardiac Arrest, an untreated time interval of only a few minutes usually means the victims’ death. Due to a variety of parameters, e.g., the current traffic situation and the mere traveling distance, emergency medical services often arrive too late in order to procure efficient cardiopulmonary. Given this premise, it is necessary...
Due to the continuously and fast increasing complexity of products and production processes, manufacturing companies have to face more and more challenges in order to survive on a competitive market. Thus, in modern planning scenarios of the manufacturing process, the goal is not only to achieve the most efficient low-cost production, but also to t...
The increasing complexity of products creates new challenges in production planning. Hence, the methodology of process development has to be designed valuable. An innovative approach to reach efficient planning consists in the virtualization of planning processes. The concept of the "Digital Factory" enables a preliminary evaluation of the planning...
The book presents a representative selection of all publications published between 01/2009 and 06/2010 in various books, journals and conference proceedings by the researchers of the institute cluster: IMA - Institute of Information Management in Mechanical Engineering ZLW - Center for Learning and Knowledge Management IfU - Institute for Managemen...
In this team description paper, we outline the approach of the Carologistics team with an emphasis on the high-level reasoning system. We outline the hardware modifications and describe our software systems and describe our efforts towards a fully referee box. The team members of the 2013 team are Andre Burghof, Daniel Ewert, Alexander Ferrein, Bah...
Conventional railway operations employ specialized software and hardware to ensure safe and secure train operations. Track occupation and signaling are governed by central control offices, while trains (and their drivers) receive instructions. To make this setup more dynamic, the train operations can be decentralized by enabling the trains to find...
Um mittel- und langfristig autonome Systeme in unserer Gesellschaft und dem gemeinsamen Miteinander zu etablieren, bedarf es Konzepte, um die gültige Gesetzes- und Normenwelt sowie ein Verständnis über die Naturgesetze innerhalb dieser Systeme abzubilden. Moderne Lernverfahren zur Ausbildung künstlicher Intelligenzen stellen für eine Vielzahl von A...
Mit der Smart Factory wurde ein Begriff geschaffen, der die vielseitigen Auswirkungen der Industrie 4.0 auf die Fabrik der Zukunft beschreibt. Auch wenn Trends als Rahmenbedingungen für die Beschreibung dieses Begriffs herangezogen werden können, ist die Smart Factory ein wandelbares Konstrukt. Die zunehmende Virtualisierung in der Produktion erwei...
In cases of fire, the evacuation times especially on passenger ships are strictly limited and wrong direction choices might be fatal. Therefore, an age-differentiated study was designed to investigate direction choices in a virtual corridor system with new digital situation-adaptive escape route signage. 60 people participated in the study within t...
Injection moulding enables the production of complex formed high-quality plastics parts in a single production step. To achieve a high and constant product quality, an appropriate process set-up with regards to product quality and process robustness is essential. A conventional process set-up requires expensive and time consuming experiments and kn...
Conventional railway operations employ specialized software and hardware to ensure safe and secure train operations. Track occupation and signaling are governed by central control offices, while trains (and their drivers) receive instructions. To make this setup more dynamic, the train operations can be decentralized by enabling the trains to find...
New forms of artificial intelligence on the one hand and the ubiquitous networking of “everything with everything” on the other hand characterize the fourth industrial revolution. This results in a changed understanding of human–machine interaction, in new models for production, in which man and machine together with virtual agents form hybrid team...
With increasing technological improvements, production processes are becoming more and more automated. Nevertheless, full automation is improbable in the medium term since human abilities cannot yet be completely replaced. Therefore, it is likely that so-called hybrid human–robot teams will assume the future production. This raises questions regard...
Managing risks in supply chains is challenging for most companies, given that the globalisation process is strengthening production constraints and also introducing more procurements risks. This is even more difficult for smaller companies because of their lack of resources to develop specific expertise or buy expensive tools. In order to be succes...
This research project aims at empirically analysing psychological effects of longer-term construction sites on German highways on traffic participants with regard to the length, design, and arrangement of work-zones. Despite previously conducted studies, the influences of work-zone lengths and succession on traffic participants have not been analys...
Nowadays, enterprises generate massive amounts of heterogeneous structured and unstructured data within their factories and attempt to store them inside data lakes. However, potential users, such as data scientists, encounter problems when they have to find, analyze and especially understand the data. Possible existing solutions use ontologies as d...
Dieses Kapitel umfasst die Beschreibung eines Technologie-Stacks, der zum Ziel hat, intelligente Entitaten einer Produktion in Form von Ressourcen und Produkten mit fortgeschrittenen, semantischen Schnittstellenstandards in Einklang zu bringen. Die Realisation dieses Vorhabens geschieht durch eine Modellierung und informationstechnische Verknupfung...
Condition Based Factory Planning (CBFP) is an approach that is holistic and modular in its nature, allowing maximum amount of integration of information and processes involved in planning a factory. The CBFP model however, resides at the information level and still needs to be specified towards a model which reflects the equations and correlations...
Digitalization has become a cornerstone of competitiveness in the industrial arena, especially in the cases of small lot sizes with many variants in the goods produced. Managers of industrial facilities have to handle the complexity that comes along with Industry 4.0 in diverse dimensions to leverage the potentials of digitalization for their sites...
Background:
Uphill walking is particularly challenging for elderly persons. However, there is a lack of age-differentiated studies investigating the underlying differences in muscle activation when walking on sloped surfaces. These studies are needed, e.g., for planning of evacuations of large modern cruise ships with long walking distances on oft...
Advancing digitisation on the job requires a rethinking and redevelopment towards a new business education that is able to address the challenges of increasing complexity. Business qualification measures have to do justice to an increasingly flexible and interconnected life and work environment that is linked to the application of new technologies....
Recent developments in the industrial field are strongly influenced by requirements of the fourth industrial revolution (I4.0) for modern Cyber-Physical Production Systems (CPPS) and the coherent phenomenon of industrial big data (IBD). I4.0 is characterized by a growing amount of interdisciplinary work and cross-domain exchange of methods and know...
A major challenge of today's production systems in the context of Industry 4.0 and Cyber-Physical Production Systems is to be flexible and adaptive whilst being robust and economically efficient. Specifically, the implementation of motion planning processes for industrial robots need to be refined concerning their variability of the motion task and...
Reinforcement Learning algorithms have the downside of potentially dangerous exploration of unknown states, which makes them largely unsuitable for the use on serial manipulators in an industrial setting. In this paper, we make use of a policy search algorithm and provide two extensions that aim to make learning more applicable on robots in industr...
The application of Big Data Techniques (BDT) in discrete manufacturing appears to be very promising, considering lighthouse projects in this area. In general, the goal is to collect all data from manufacturing systems comprehensively, in order to enable new findings and decision support by means of appropriate Industrial Big Data (IBD) analysis pro...
Die Digitalisierung bietet für die Internationalisierung besondere Chancen. Dabei kann die Nutzung digitaler Formate sowohl im Bereich der Internationalisierung der Hochschule und ihrer Außenwirkung als auch in der Öffnung der Lehre für eine internationale Studierendenschaft neue Wege ermöglichen. Der Beitrag zeigt die Breite dieser Potenziale und...
Since 2014, we have made three releases of our full software stack for the RoboCup Logistics League (RCLL) based on the Open Source Fawkes Robot Software Framework. They include all software components of the team Carologistics which won RoboCup 2014, 2015, and 2016. The software is based on experience from participating in a number of leagues with...
In 2016, the RoboCup Logistics League (RCLL) scenario has received only minor changes. The Carologistics team used this time to stabilize and improve several of its system’s components to make overall production more robust and support a more elaborated domain modeling. This has been made possible especially through our simulation environment. We d...
Hybrid collaboration between human and machine antagonists is currently discussed as the most likely scenario of future manufacturing within the next 10 years because it considers technological developments and preserves human workplaces at the same time. However, not only technical feasibility plays a role in the design of these future collaborati...
The handling of dry, pre-impregnated semi-finished textiles in the production of fibre-rein-forced structures with complex geometries is still performed mainly manually resulting in long processing times, low reproducibility and high manufacturing costs. In this context, the scope of the project AutoHD is to fully automate the draping and handling...
The Internet of Things (IoT) is an information network of physical objects (sensors, machines, cars, buildings, and other items) that allows interaction and cooperation of these objects to reach common goals [2]. While the IoT affects among others transportation, healthcare, or smart homes, the Industrial Internet of Things (IIoT) refers in particu...
Cyber-physical systems are ever more common in manufacturing industries. Increasing their autonomy has been declared an explicit goal, for example, as part of the Industry 4.0 vision. To achieve this system intelligence, principled and software-driven methods are required to analyze sensing data, make goal-directed decisions, and eventually execute...
The need for an energy revolution and thus, the transformation to a sustainable energy system, is widely recognized. It is mainly based on the use of renewable energy technologies (RET), such as wind power plants. RET have positive as well as negative impacts on ecological, economic and social environments throughout their life cycle. In order to i...
Comparing things like objects, tasks, texts or audio is a common task in computer science. To do so, first a definition for similarity is required. In many fields of application, common and generic distance measures like the Minkowski distance or more specific measures like Dynamic Time Warping to compare temporal sequences are already defined and...
Durch eine stetig wachsende Wissensbasis in einzelnen Fachgebieten entstehen immer tiefergehende, meist disziplinäre Spezialisierungen. Wissenschaftliche, wirtschaftliche und gesellschaftliche Fragestellungen halten sich jedoch nicht an Grenzen von Disziplinen. Innovationen setzen oft an den Schnittstellen traditioneller Disziplinen an. Der Zusamme...
This work contributes to a technology stack that pursues the goal of integrating intelligent entities in a production environment by means of communication technologies based on scalable interfaces supporting semantic modeling. The proposed architecture is realized based on a model-driven interconnection of multi-agent systems with OPC Unified Arch...
In the near future, robots and people will work hand in hand. Through technical development, robots will be able to follow social rules, interact and communicate with people and move freely in the environment. The number of these so-called social robots will increase significantly especially in production spaces forming hybrid human-robot-teams. Th...
The need for an energy revolution and thus, the transformation to a sustainable energy system, is widely recognized. It is mainly based on the use of renewable energy technologies (RET), such as wind power plants. RET have positive as well as negative impacts on ecological, economic and social environments throughout their life cycle. In order to i...
A major challenge of today's production systems in the context of Industry 4.0 and Cyber-Physical Production Systems is to be flexible and adaptive whilst being robust and economically efficient. Specifically, the implementation of motion planning processes for industrial robots need to be refined concerning their variability of the motion task and...
We are very proud to present to you a compilation of scientific papers published during the first funding phase of the cooperative project ELLI—“Excellent Teaching and Learning in Engineering Sciences”. This interdisciplinary project, funded by the Federal Ministry of Education and Research in Germany (BMBF), aims to improve study conditions and en...
Through the last years, interdisciplinary research has increased in prevalence and it is expected that this trend will continue. As it becomes more and more evident that interdisciplinary science has a positive impact on knowledge production and innovation, it is of special importance to analyse how the interdisciplinary processes can be further su...
In the field of manufacturing engineering, process designers conduct numerical simulation experiments to observe the impact of varying input parameters on certain outputs of the production process. The disadvantage of these simulations is that they are very time consuming and their results do not help to fully understand the underlying process. For...
Understanding how members of a research team cooperate and identifying possible synergies may be crucial for organizational success. Using data-driven approaches, recommender systems may be able to find promising collaborations from publication data. Yet, the outcome of scientific endeavors (i.e. publications) are only produced sparingly in compari...
Due to globalisation, supply chains face an increasing number of risks that impact the procurement process. Even though there are tools that help companies address these risks, most companies, even larger ones, still have problems for adequately quantifying the risks on their current process as well as on alternative process. The aim of our work is...
This paper presents the platform ESKAPE, which
uses semantic models in addition to data models to handle batch and streaming data on an information focused level. ESKAPE enables users to process, query and subscribe to heterogeneous data sources without the need to consider the data model, facilitating the creation of information products from hete...
Due to shorter product lifecycles and a rising demand for customization, flexibility and adaptability of assembly processes will become key elements in achieving sustainable success of industrial production in high-wage countries. Cognition-enhanced self-optimization as presented in this chapter has been identified as one major contributor to the e...
Scientific Cooperation Engineering researches, fosters and supports scientific cooperation on all hierarchical levels and beyond scientific disciplines as a key resource for innovation in the Cluster of Excellence. State-of-the-art research methods—such as structural equation models, success models, or studies on success factors—that are frequently...
The research area Virtual Production Intelligence (VPI) focuses on the integrated support of collaborative planning processes for production systems and products. The focus of the research is on processes for information processing in the design domains Factory and Machine. These processes provide the integration and interactive analysis of emergin...
Die Digitalisierung bietet für die Internationalisierung besondere Chancen. Dabei kann die Nutzung digitaler Formate sowohl im Bereich der Internationalisierung der Hochschule und ihrer Außenwirkung als auch in der Öffnung der Lehre für eine internationale Studierendenschaft neue Wege ermöglichen. Der Beitrag zeigt die Breite dieser Potenziale und...
Cyber-physical production systems (CPPSs) are the fundamental basis for the realization of the German initiative “Industrie 4.0,” which covers not only the usage of intelligent embedded devices and their interconnectedness, but also models for describing different processes according to the product’s life cycle. This article focuses on challenges r...
In the future, we expect manufacturing companies to follow a new paradigm that mandates more automation and autonomy in production processes. Such smart factories will offer a variety of production technologies as services that can be combined ad hoc to produce a large number of different product types and variants cost-effectively even in small lo...
Within the Enceladus Explorer Initiative of the DLR Space Administration navigation technologies for a future space mission are in development. Those technologies are the basis for the search for extraterrestrial life on the Saturn moon Enceladus. An autonomous melting probe, the EnEx probe, aims to extract a liquid sample from a water reservoir be...
Over the last years, many Internet of Things (IoT) platforms have been developed to manage data from public and industrial environmental settings. To handle the upcoming amounts of structured and unstructured data in those fields, a couple of these platforms use ontologies to model the data semantics. However, generating ontologies is a complex tas...
Developing the core system science needed to enable the development of a complex industrial internet of things/manufacturing CPS (IIoT/M-CPS), this book will foster a research community committed to advancing research and education in IIoT/M-CPS and to transitioning applicable science and technology into engineering practice.
Presenting the curren...
The ramp-up of production systems is characterised by situations that arise for the first time. Due to the unpredictability of system behaviour in such situations, instabilities occur that lead to reduced production effectiveness. In order to deal with the resulting uncertainty, this paper presents an approach for self-directed systems capable of “...
In the field of manufacturing engineering, process designers conduct numerical simulation experiments to observe the impact of varying input parameters on certain outputs of a production process. The disadvantage of these simulations is that they are very time consuming and their results do not help to fully understand the underlying process. For i...
Various approaches exist to quantify risks in supply chains. However, two aspects in risk assessments are not usually considered: monetarized risk quantification and use-case dependent model complexity. Monetarily quantifying risks means quantifying root-cause and severity of each single risk and aggregating these risks into an aggregated risk valu...
Der demografische Wandel und die vierte industrielle Revolution verändern die Arbeitswelt. Um diese Veränderung zu steuern, braucht es neue, innovative Maßnahmen im Demografiemanagement. Neben der zunehmenden Integration von Zuwanderern in das Bildungs- und Beschäftigungssystem sowie dem Fachkräftemangel ist die Identifizierung von geeigneten Handl...
The energy revolution's goal is to transform the current energy system into a sustainable system based on renewable energy technologies (RET). Even though RET are generally acknowledged as low-emission technologies with positive connotations, there are also negative impacts on ecological, economic and social environments throughout their life cycle...