Digital Business Engineering: Findings from the Install4Schenker caseSebastian Opriel
The development of digital business models is a key field of research in the age of digitization. As companies embark on the journey to develop digital business models, the need for a methodology which supports their journey is imminent. This paper contributes to sharpening the methodological foundation of Digital Business Engineering by conducting a single case study exemplified by Install4Schenker. Install4Schenker is a digital service coordinating, controlling and validating external craftsmen with the goal of avoiding two-men-handling while delivering products requiring installation such as heaters. Based on this case study, this paper aims to identify the potential for further research, optimizations, and clarifications for the Digital Business Engineering methodology.
Shared Digital Twins: Collaboration in EcosystemsBoris Otto
This presentation introduces the concept of shared digital Twins from a cusiness perspective and outlines recent technological developments for shared digital twin management.
This presentation was held at the 2nd Internet of Manufacturing Conference on February 7, 2017, in Munich, Germany. It addresses the need of a new kind of data management to cope with the requirements digital scenarios pose on the industrial enterprise. Motivated by examples, the talk outlines design principles for smart data management and concludes with two leading examples, namely the Industrial Data Space initiative and the Corporate Data League.
IDS: Update on Reference Architecture and Ecosystem DesignBoris Otto
This presentation motivates the Industrial Data Space and gives an update on the IDS Reference Architecture Model as well as the related ecosystem. It sets data in the context of business model innovation and points out how the IDS Reference Architecture relates to alternative data architecture styles such as data lakes and blockchain technology, for example. The presentation was given at the IDSA Summit on March 22, 2018.
A Taxonomy of the Data Resource in the Networked IndustryBoris Otto
This presentation reports on the design of a taxonomy of the data resource in the networked industry. It was held on the 7th International Scientific Symposium on Logistics on June 6, 2014, in Cologne, Germany. The presentation motivates the topic, analyzes four networking industry cases and discusses a first version of the taxonomy. The presentation argues that for companies aiming at designing a future-proof data architecture leveraging the potentials of the industrial internet, collaborative forms of organizations etc. transparency about data sources, data ownership, criticality, compliance of standards of data, data quality are key for success. In addition, the presentation introduces a first sketch of a method supporting businesses in applying the taxonomy.
International Data Spaces: Data Sovereignty for Business Model InnovationBoris Otto
This presentation given at the European Big Data Value Forum on November 13, 2018, in Vienna introduces International Data Spaces (IDS) as a reference architecture and implementation for data sovereignty. The IDS archiecture rests on usage control technologies and trusted computing environments and, thus, forms a strategic enabler for a fair data economy which respects the interests of the data owners.
Data Sovereignty - Call for an International EffortBoris Otto
This presentation will be given at the Digitisting Manufacturing in the G20 Conference on March 16, 2017, in Berlin, in the context of the workshop "Data Sovereignty in Global Value Networks".
Digital Business Engineering: Findings from the Install4Schenker caseSebastian Opriel
The development of digital business models is a key field of research in the age of digitization. As companies embark on the journey to develop digital business models, the need for a methodology which supports their journey is imminent. This paper contributes to sharpening the methodological foundation of Digital Business Engineering by conducting a single case study exemplified by Install4Schenker. Install4Schenker is a digital service coordinating, controlling and validating external craftsmen with the goal of avoiding two-men-handling while delivering products requiring installation such as heaters. Based on this case study, this paper aims to identify the potential for further research, optimizations, and clarifications for the Digital Business Engineering methodology.
Shared Digital Twins: Collaboration in EcosystemsBoris Otto
This presentation introduces the concept of shared digital Twins from a cusiness perspective and outlines recent technological developments for shared digital twin management.
This presentation was held at the 2nd Internet of Manufacturing Conference on February 7, 2017, in Munich, Germany. It addresses the need of a new kind of data management to cope with the requirements digital scenarios pose on the industrial enterprise. Motivated by examples, the talk outlines design principles for smart data management and concludes with two leading examples, namely the Industrial Data Space initiative and the Corporate Data League.
IDS: Update on Reference Architecture and Ecosystem DesignBoris Otto
This presentation motivates the Industrial Data Space and gives an update on the IDS Reference Architecture Model as well as the related ecosystem. It sets data in the context of business model innovation and points out how the IDS Reference Architecture relates to alternative data architecture styles such as data lakes and blockchain technology, for example. The presentation was given at the IDSA Summit on March 22, 2018.
A Taxonomy of the Data Resource in the Networked IndustryBoris Otto
This presentation reports on the design of a taxonomy of the data resource in the networked industry. It was held on the 7th International Scientific Symposium on Logistics on June 6, 2014, in Cologne, Germany. The presentation motivates the topic, analyzes four networking industry cases and discusses a first version of the taxonomy. The presentation argues that for companies aiming at designing a future-proof data architecture leveraging the potentials of the industrial internet, collaborative forms of organizations etc. transparency about data sources, data ownership, criticality, compliance of standards of data, data quality are key for success. In addition, the presentation introduces a first sketch of a method supporting businesses in applying the taxonomy.
International Data Spaces: Data Sovereignty for Business Model InnovationBoris Otto
This presentation given at the European Big Data Value Forum on November 13, 2018, in Vienna introduces International Data Spaces (IDS) as a reference architecture and implementation for data sovereignty. The IDS archiecture rests on usage control technologies and trusted computing environments and, thus, forms a strategic enabler for a fair data economy which respects the interests of the data owners.
Data Sovereignty - Call for an International EffortBoris Otto
This presentation will be given at the Digitisting Manufacturing in the G20 Conference on March 16, 2017, in Berlin, in the context of the workshop "Data Sovereignty in Global Value Networks".
The Industrial Data Space is a strategic initiative driven by industry and supported by the German Federal Government. It aims at supporting the secure exchange and easy combination of data within ecosystems.
International Data Spaces: Data Sovereignty and Interoperability for Business...Boris Otto
This presentation was held in a workshop session on IoT Business Models and Data Interoperability at the Max Planck Institute for Innovation and Competition in Munich on 8 October 2018. The presenation introduces the concept of business ecosystems and the role of data within the latter, then outlines the state of the art in terms of interoperability and sovereignty and finally sketches the IDS contribution.
The Value of Data for Digital Business ModelsBoris Otto
This presentation outlines the challenges and opportunities of digitization and highlights the important role of data quality. The presentation uses a well-known business model conceptualization to illustrate successful digitization examples.
The Industrial Data Space aims at establishing a virtual data space in which partners in business ecosystems can securely exchange and easily link their data assets. The presentation puts the Industrial Data Space in the context of recent developments in the area of Smart Service Welt and Industrie 4.0 and sketches a reference architecture model and functional software components. Furthermore, the presentation introduces the Industrial Data Space Association which institutionalizes the user requirements and drives standardization. The presentation was given at the Industry 4.0 session at MACH 2016 on April 14, 2016, in Birmingham, UK.
EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...European Data Forum
Invited Talk by Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wolters Kluwer Germany at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Linked Data and Open Government Data as part of the business strategy of Wolters Kluwer Germany.
EDF2014: Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the b...European Data Forum
Opening Keynote by Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the board of BITKOM working group Big Data at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Value of Big Data - From Data-Driven Enterprises to a Data-driven Economy
EDF2014: Talk of Stefan Decker, Director, Insight Galway, Ireland & Anthony M...European Data Forum
Invited Talk of Stefan Decker, Director, Insight Galway, Ireland & Anthony McCauley, Head of Research, Fujitsu Ireland at the European Data Forum 2014, 19 March 2014 in Athens, Greece: KI2NA - Using Linked Data for the Intelligent society
EDF2013: Selected Talk, Ghislain Atemezing: Towards Interoperable Visualizati...European Data Forum
Selected talk of Ghislain Atemezing at the European Data Forum 2013, 10 April 2013 in Dublin, Ireland: Towards Interoperable Visualization Applications Over Linked Data
Fraunhofer – SINTEF: towards an initiative on Data Sovereignty in EuropeThorsten Huelsmann
Fraunhofer and SINTEF jointed Industrial Data Space Association in early 2016. Industrial Data Space stands for safer data exchange between companies where the producer of data remains the owner of the data and maintains sovereignty over the use of that data.
IDS Association aims to define the conditions and governance for a reference architecture and interfaces aiming at international standards.
This standard is actively developed and updated on the basis of use cases. It forms the basis for a number of certified software solutions and business models, the development of which is fostered by the association.
Thorsten Huelsmann and Ernst H. Kristiansen talked on this topic during the German-Norwegian Dialogue on Bilateral and
European Cooperation , September 29 2016 at Berlin.
BDVe Webinar Series: DataBench – Benchmarking Big Data. Arne Berre. Tue, Oct ...Big Data Value Association
This webinar presents the DataBench project. Arne Berre (SINTEF) will explain the efforts to characterise and reuse big data benchmarking frameworks from a technical perspective, and share details of the degree of support that DataBench will provide to other projects and big data practitioners to benchmark big data tools and applications.
DURAARK presentation CIB W78 "Applications of IT in AEC" conference Beijing 2...Jakob Beetz
Presentation of the DURAARK http://duraark.eu/ project at the 30th CIB W78 conference on applications of IT in AEC in Beijing 2013
http://2013cibw78.civil.tsinghua.edu.cn/
Linking HPC to Data Management - EUDAT Summer School (Giuseppe Fiameni, CINECA)EUDAT
EUDAT and PRACE joined forces to help research communities gain access to high quality managed e-Infrastructures whose resources can be connected together to enable cross-utilization use cases and make them accessible without any technical barrier. The capability to couple data and compute resources together is considered one of the key factors to accelerate scientific innovation and advance research frontiers. The goal of this session was to present the EUDAT services, the results of the collaboration activity achieved so far and delivers a hands-on on how to write a Data Management Plan or DMP. The DMP is a useful instrument for researchers to reflect on and communicate about the way they will deal with their data. It prompts them to think about how they will generate, analyse and share data during their research project and afterwards.
Visit: https://www.eudat.eu/eudat-summer-school
The Industrial Data Space is a strategic initiative driven by industry and supported by the German Federal Government. It aims at supporting the secure exchange and easy combination of data within ecosystems.
International Data Spaces: Data Sovereignty and Interoperability for Business...Boris Otto
This presentation was held in a workshop session on IoT Business Models and Data Interoperability at the Max Planck Institute for Innovation and Competition in Munich on 8 October 2018. The presenation introduces the concept of business ecosystems and the role of data within the latter, then outlines the state of the art in terms of interoperability and sovereignty and finally sketches the IDS contribution.
The Value of Data for Digital Business ModelsBoris Otto
This presentation outlines the challenges and opportunities of digitization and highlights the important role of data quality. The presentation uses a well-known business model conceptualization to illustrate successful digitization examples.
The Industrial Data Space aims at establishing a virtual data space in which partners in business ecosystems can securely exchange and easily link their data assets. The presentation puts the Industrial Data Space in the context of recent developments in the area of Smart Service Welt and Industrie 4.0 and sketches a reference architecture model and functional software components. Furthermore, the presentation introduces the Industrial Data Space Association which institutionalizes the user requirements and drives standardization. The presentation was given at the Industry 4.0 session at MACH 2016 on April 14, 2016, in Birmingham, UK.
EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...European Data Forum
Invited Talk by Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wolters Kluwer Germany at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Linked Data and Open Government Data as part of the business strategy of Wolters Kluwer Germany.
EDF2014: Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the b...European Data Forum
Opening Keynote by Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the board of BITKOM working group Big Data at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Value of Big Data - From Data-Driven Enterprises to a Data-driven Economy
EDF2014: Talk of Stefan Decker, Director, Insight Galway, Ireland & Anthony M...European Data Forum
Invited Talk of Stefan Decker, Director, Insight Galway, Ireland & Anthony McCauley, Head of Research, Fujitsu Ireland at the European Data Forum 2014, 19 March 2014 in Athens, Greece: KI2NA - Using Linked Data for the Intelligent society
EDF2013: Selected Talk, Ghislain Atemezing: Towards Interoperable Visualizati...European Data Forum
Selected talk of Ghislain Atemezing at the European Data Forum 2013, 10 April 2013 in Dublin, Ireland: Towards Interoperable Visualization Applications Over Linked Data
Fraunhofer – SINTEF: towards an initiative on Data Sovereignty in EuropeThorsten Huelsmann
Fraunhofer and SINTEF jointed Industrial Data Space Association in early 2016. Industrial Data Space stands for safer data exchange between companies where the producer of data remains the owner of the data and maintains sovereignty over the use of that data.
IDS Association aims to define the conditions and governance for a reference architecture and interfaces aiming at international standards.
This standard is actively developed and updated on the basis of use cases. It forms the basis for a number of certified software solutions and business models, the development of which is fostered by the association.
Thorsten Huelsmann and Ernst H. Kristiansen talked on this topic during the German-Norwegian Dialogue on Bilateral and
European Cooperation , September 29 2016 at Berlin.
BDVe Webinar Series: DataBench – Benchmarking Big Data. Arne Berre. Tue, Oct ...Big Data Value Association
This webinar presents the DataBench project. Arne Berre (SINTEF) will explain the efforts to characterise and reuse big data benchmarking frameworks from a technical perspective, and share details of the degree of support that DataBench will provide to other projects and big data practitioners to benchmark big data tools and applications.
DURAARK presentation CIB W78 "Applications of IT in AEC" conference Beijing 2...Jakob Beetz
Presentation of the DURAARK http://duraark.eu/ project at the 30th CIB W78 conference on applications of IT in AEC in Beijing 2013
http://2013cibw78.civil.tsinghua.edu.cn/
Linking HPC to Data Management - EUDAT Summer School (Giuseppe Fiameni, CINECA)EUDAT
EUDAT and PRACE joined forces to help research communities gain access to high quality managed e-Infrastructures whose resources can be connected together to enable cross-utilization use cases and make them accessible without any technical barrier. The capability to couple data and compute resources together is considered one of the key factors to accelerate scientific innovation and advance research frontiers. The goal of this session was to present the EUDAT services, the results of the collaboration activity achieved so far and delivers a hands-on on how to write a Data Management Plan or DMP. The DMP is a useful instrument for researchers to reflect on and communicate about the way they will deal with their data. It prompts them to think about how they will generate, analyse and share data during their research project and afterwards.
Visit: https://www.eudat.eu/eudat-summer-school
Data Science as a Service: Intersection of Cloud Computing and Data SciencePouria Amirian
Dr. Pouria Amirian explains data science, steps in a data science workflow and show some experiments in AzureML. He also mentions about big data issues in a data science project and solutions to them.
Data Science as a Service: Intersection of Cloud Computing and Data SciencePouria Amirian
Dr. Pouria Amirian from the University of Oxford explains Data Science and its relationship with Big Data and Cloud Computing. Then he illustrates using AzureML to perform a simple data science analytics.
Digital transformations require a new hybrid cloud—one that’s open by design, and frees clients to choose and change environments, data and services as needed. This approach allows cloud apps and services to be rapidly composed using the best relevant data and insights available, while maintaining clear visibility, control and security—everywhere. How do you decide where to put data on a hybrid cloud and how to use it? What’s the best hybrid cloud strategy in terms of data and workload? How should you leverage a 50/50 rule or a 80/20 rule and user interaction to evaluate which data/workload to move to the cloud and which data/workload to keep on-premise? Hybrid cloud provides an open platform for innovation, including cognitive computing. Organizations are looking for taking shadow IT out of the shadows by providing a self-service way to the information and a hybrid cloud strategy is allowing that. Also, how to use hybrid cloud for better manage data sovereignty & compliance?
The main goal of the SecureCloud project is to enable novel big-data applications that can use sensitive data in the cloud without compromising data security and privacy.
A Hybrid Cloud MultiCloud Approach to Streamline Supply Chain Data Flowjagada7
A hybrid cloud approach to using multiclouds in the supply chain brings forward the best of the best, creme-de-la-creme in each application. Functionality is thus the best, user interface the best and, access to data the best, and economics of deployment the best, and so on.
Logical Data Fabric: Architectural ComponentsDenodo
Watch full webinar here: https://bit.ly/39MWm7L
Is the Logical Data Fabric one monolithic technology or does it comprise of various components? If so, what are they? In this presentation, Denodo CTO Alberto Pan will elucidate what components make up the logical data fabric.
Advanced Analytics and Machine Learning with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/32c6TnG
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this webinar and learn:
- How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
- How you can use the Denodo Platform with large data volumes in an efficient way
- About the success McCormick has had as a result of seasoning the Machine Learning and Blockchain Landscape with data virtualization
IBM Relay 2015: Cloud is All About the Customer IBM
Debuting new research data, Forrester's John Rymer discusses the rapid growth of "customer-centric" workloads in the cloud and the challenges many organizations have faced with private cloud.
Learn more by visiting our Bluemix Hybrid page: http://ibm.co/1PKN23h
Speaker: John Rymer (Analyst, Forrester)
Similar to IDS@BKM: Gaining Transparency in Automotive Supply Chains (20)
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
PRESENTATION ABOUT PRINCIPLE OF COSMATIC EVALUATION
IDS@BKM: Gaining Transparency in Automotive Supply Chains
1. public
IDS@BKM – GAINING TRANSPARENCY IN AUTOMOTIVE
SUPPLY CHAINS
IDSA Winterdays ∙ Paris ∙ December 4, 2019
· 1
2. public
The Experts
Sebastian Opriel
Fraunhofer ISST
Logistics
Deputy Head of Department
Mail: Sebastian.Opriel@isst.fraunhofer.de
Phone: +49 231 97677 410
https://xing.com/profile/Sebastian_Opriel
https://linkedin.com/in/sebastianOpriel
Ute Burkhardt
Volkswagen Konzernlogistik GmbH & Co. OHG
Programmplanung / BKM
Project Manager
Mail: Ute.Burkhardt@volkswagen.de
Phone: +49 5361 9 126183
https://xing.com/profile/Ute_Burkhardt
https://linkedin.com/in/ute-burkhardt-6a53759
Kay Borrmann
thyssenkrupp Presta Ilsenburg GmbH
Global Supply Chain Management
Supply Chain Manager
Mail: Kay.Borrmann@thyssenkrupp.com
Phone: +49 39452 8007444
https://xing.com/profile/Kay_Borrmann
· 2
3. public
OVERVIEW
Problem and Vision
Use Case Scope and Focus
Technical Concept
Requirements
Data Sovereignty
Prototype Mockups
Lessons Learned
Request for Feedback from IDSA Community
Legal Aspects
Proof of Economic Efficiency
· 3
4. public
Schematic Supply Chain
OEM group wide parts supplies controlled by corporate logistics
OEM 1
1st-Tier
1st-Tier
2nd-Tier
OEM 2
OEM
corporate
logistics
Physical part flow with shortage
Physical part
flow
Communication flow
· 4
5. public
Scenario 1 – Optimize DCM Process
Close correlation between Demand & Capacity Planning (DCP) and Production Schedule
Problem: Deviation in consumption and output leads to contradiction of delivery schedules
Double set-up of safety-stocks: Suppliers and OEM
DCM process as supervisory authority
OEM 1
1st-Tier
1st-Tier
2nd-Tier
OEM 2
OEM
corporate
logistics
Physical part flow with shortage
Physical part
flow
Communication flow
· 5
6. public
Scenario 2 – Optimize Shortage Handling
Conventional exchange of data (Excel-email-telephone) in case of shortage
Increase of complexity in case of shortage
OEM 1
1st-Tier
1st-Tier
2nd-Tier
OEM 2
OEM
corporate
logistics
Physical part flow with shortage
Physical part
flow
Communication flow
· 6
7. public
Scope of the Project
Objective
1. Improvement and increase of planning basis and reliability
2. Early detection of shortage situation at any stage of the supply chain
3. Support in case of shortage
Requirements
Match of concept and prototype with other relationships within the supply chain
Avoidance of setting up a tailored solution limited to Volkswagen and thyssenkrupp only
Exchange of inventory, demand and capacity information coequal with data sovereignty is
mandatory
Option of iterative request for capacity data in the supply chain
Ensurance of mutual benefits as driver of adoption to other relations
Secure and
sovereign
data exchange
· 7
8. public
Selected Supply Chain
Phase 1 – since June 2019
Physical Supply Chain
IDS
e.g. ACT Module
2nd-Tier
2nd-Tier
1st-Tier
Salzgitter
(Germany)
Ilsenburg
Valvetrain
(Germany)
…
…
Focus
Optimize DCM
Optimize shortage management
Project scope
Concept
Prototype
Objectives
Identify Requirements
Test technology boundaries
Develop Prototype
Engine construction Vehicle construction
· 8
10. public
Vision: Standardized Data Exchange through Information Propagation Based
on IDS
Procedure
Determine information requirement
on own supply chain level
Transmission of information
requirement to respective suppliers,
if available information are not
sufficient
Transmission of requested
information
Otto, Boris; Cirullies, Jan; Schwede, Christian (2018): Innovation durch Kooperation in Supply Chains. Geschäftsökosysteme und die
Rolle der Daten In: Bundesvereinigung Logistik (Hrsg.): Digitales trifft Reales. Kongressband zum 35. Deutschen Logistik-Kongress.
Deutscher Verkehrs-Verlag, Hamburg.
1st-tier
2nd-tier
3rd-tier
Information request
Physical SC flow
Answer
Demand
Capacity
1
2
3
3
2
2
3
Recursive
Repeat 1–3 on each supply
chain level
1
1
Supplier can serve demand
Supplier with shortage case
OEM
1
2
3
…
· 10
11. public
Requirements
General
Exchange of more information than today
Transferability to other supply chain
participants
Ensurance of mutual benefits as driver of
introduction to other relations
Parametrizability of algorithms and
connections (e.g. interval or time of
transmission)
Visualization and Export
Data to be visualized in dashboards
Technical security of dashboards in order to
guarantee maximum data sovereignty
Transfer data to dedicated systems if
permission is granted
Data transmission
Availability of data on demand
Periodical transfer of information
No live-push of data
Governance
Dataset defined by sender (last snapshot vs.
history) turn up in IDS connectors
Origin (data connection) and supplied terms of
use must be stored per information object
Consensus procedure to log data access
(signature mechanism)
Any data connection to be defined and
accepted separately
Terms of use to be attached in case of export
of information to other systems
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Data Exchange Concept
Data flow Control flow
Sovereign data exchange
Usage policies and data
No Data
Souvereignty
Other
Systems
No Data
Souvereignty
Other
Systems
1st-Tier
IDS Connector
Logic
Policies
Log Filter
REST-API
OEM
IDS Connector
Logic
Policies
Log Filter
REST-API
Usage policies and data
No Data
Souvereignty
Other
Systems
2nd-Tier
IDS Connector
Logic
Policies
Log Filter
REST-API
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Data Sovereignty – Access Control
Dimension Characteristics
Data
Type Demand / Output Stock Manual allocation Goods receipt conf.
Granularity Location (overall, site, part group, part) Time (month, week, day, shift)
Horizon Time based (e.g. week 2-4) Current
Update
Type Scheduled (e.g. 1x/week, 1x/day) On demand
Access
Control
Define parameters and boundaries of
data to be transmitted between IDS
Connectors
Usage
Control
Define policies and rules to be
obtained by IDS Connectors
https://industrialdataspace.jiveon.com/docs/DOC-2264?ru=2452&sr=stream; A. Eitel et al., 2019. Usage Control in the International
Data Spaces. https://www.internationaldataspaces.org/wp-content/uploads/2019/11/Usage-Control-in-IDS-V2.0_final.pdf
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Data Sovereignty – Usage Control
https://industrialdataspace.jiveon.com/docs/DOC-2264?ru=2452&sr=stream; A. Eitel et al., 2019. Usage Control in the International
Data Spaces. https://www.internationaldataspaces.org/wp-content/uploads/2019/11/Usage-Control-in-IDS-V2.0_final.pdf
Dimension Characteristics
Allowed processing Demand and Capacity Management Shortage Event
Access data via interfaces Allow API access to data
Allow visualization in integrated
frontend
Data retention Duration (time based: e.g. five hours, two days, one week, unlimited)
History of data Number of snapshots (1..n)
Access
Control
Define parameters and boundaries of
data to be transmitted between IDS
Connectors
Usage
Control
Define policies and rules to be
obtained by IDS Connectors
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A Selection of Possibilities for Protecting Data in Frontends
Protect interfaces with captcha input if crawling is detected
Limit the number of data updates to x incidents per day in case of on-demand requests
Increase data retrieval effort
Narrow data view for required information
Show data as image
Disable text selection, copy/paste, print, keyboard shortcuts, etc.
Tracking Dots / Watermarks or similar for tracking screenshots
Prevent photographing by text interlacing (effect is like a picture of a rotating rim)
Zrenner, Johannes; Möller, Frederik Oliver; Jung, Christian; Eitel, Andreas; Otto, Boris (2019): Usage control architecture options for data sovereignty in business ecosystems. In: Journal of Enterprise Information Management 32 (3), S.
477–495. DOI: 10.1108/JEIM-03-2018-0058.
https://github.com/JonasCz/How-To-Prevent-Scraping
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Lessons Learned
Guideline of meetings & discussions: “…it’s a use case only…”
Agree to clear definition of technical terms to be used in drafts, technical specifications etc,
Ongoing maintenance of a common key-word-glossary
Get rid of incomprehensible IT-terminology e.g. in discussions, presentations etc.
Reiterate frequently conclusions, statements, evidences, propositions
Frequent information exchange from other projects with similar scopes
Frequent matching of findings and conclusions with other projects
Signalize management awareness and interest to attendees
Keep things simple!
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Input - Support – Discussion welcome
Legal Aspects
Ongoing process
Input from Experts required
Economic Efficiency
Definition of KPIs
Early notice of potential shortage situation (e.g. days/weeks ahead)
Reduced time of shortage analysis
Decrease of number of shortage events/FTE
Cost-impact of shortage events and measures in order to avoid
Standardized questionnaires to capture the before/after-effect
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The Experts
Sebastian Opriel
Fraunhofer ISST
Logistics
Deputy Head of Department
Mail: Sebastian.Opriel@isst.fraunhofer.de
Phone: +49 231 97677 410
https://xing.com/profile/Sebastian_Opriel
https://linkedin.com/in/sebastianOpriel
Ute Burkhardt
Volkswagen Konzernlogistik GmbH & Co. OHG
Programmplanung / BKM
Project Manager
Mail: Ute.Burkhardt@volkswagen.de
Phone: +49 5361 9 126183
https://xing.com/profile/Ute_Burkhardt
https://linkedin.com/in/ute-burkhardt-6a53759
Kay Borrmann
thyssenkrupp Presta Ilsenburg GmbH
Global Supply Chain Management
Supply Chain Manager
Mail: Kay.Borrmann@thyssenkrupp.com
Phone: +49 39452 8007444
https://xing.com/profile/Kay_Borrmann
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IDS@BKM – GAINING TRANSPARENCY IN AUTOMOTIVE
SUPPLY CHAINS
IDSA Winterdays ∙ Paris ∙ December 4, 2019
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