@inproceedings {INPROC-2018-10,
author = {Jan K{\"o}nigsberger and Bernhard Mitschang},
title = {{R2SMA - A Middleware Architecture to Access Legacy Enterprise Web Services using Lightweight REST APIs}},
booktitle = {Proceedings of the 20th International Conference on Enterprise Information Systems},
editor = {Slimane Hammoudi and Michal Smialek and Olivier Camp and Joaquim Filipe},
publisher = {SciTePress},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {704--711},
type = {Konferenz-Beitrag},
month = {M{\"a}rz},
year = {2018},
isbn = {978-989-758-298-1},
keywords = {REST; API; SOAP; Web Service; SOA; Enterprise SOA; Architecture},
language = {Englisch},
cr-category = {H.5.4 Hypertext/Hypermedia,
H.3.5 Online Information Services},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-10&engl=0}
}
@inproceedings {INPROC-2017-70,
author = {Jan K{\"o}nigsberger and Bernhard Mitschang},
title = {{Business Objects plus (BO+): An Approach to Enhance Service Reuse and Integration in Cross-Domain SOA Compounds}},
booktitle = {Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration},
editor = {Chengcui Zhang and Balaji Palanisamy and Latifur Khan and Sahra Sedigh Sarvestani},
address = {Los Alamitos, Washington, Tokyo},
publisher = {IEEE Computer Society},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {49--58},
type = {Konferenz-Beitrag},
month = {August},
year = {2017},
doi = {10.1109/IRI.2017.28},
isbn = {978-1-5386-1562-1},
keywords = {SOA, data model, abstraction, service interface, business objects},
language = {Deutsch},
cr-category = {E.2 Data Storage Representations,
H.3.5 Online Information Services},
ee = {http://ieeexplore.ieee.org/document/8102918/},
contact = {Jan K{\"o}nigsberger jan.koenigsberger@ipvs.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-70&engl=0}
}
@inproceedings {INPROC-2017-38,
author = {Christian Weber and Jan K{\"o}nigsberger and Laura Kassner and Bernhard Mitschang},
title = {{M2DDM – A Maturity Model for Data-Driven Manufacturing}},
booktitle = {Manufacturing Systems 4.0 – Proceedings of the 50th CIRP Conference on Manufacturing Systems (CIRP CMS); Taichung, Taiwan, May 3-5, 2017},
editor = {Mitchell M. Tseng and Hung-Yin Tsai and Yue Wang},
publisher = {Elsevier},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
series = {Procedia CIRP},
volume = {63},
pages = {173--178},
type = {Konferenz-Beitrag},
month = {Juli},
year = {2017},
doi = {https://doi.org/10.1016/j.procir.2017.03.309},
issn = {2212-8271},
keywords = {Maturity Model; Industrie 4.0; Industrial Internet; Reference Architectures; Digital Twin; Edge Analytics},
language = {Englisch},
cr-category = {H.1.0 Information Systems Models and Principles General,
H.4.0 Information Systems Applications General},
ee = {http://www.sciencedirect.com/science/article/pii/S2212827117304973},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-38&engl=0}
}
@inproceedings {INPROC-2017-05,
author = {Laura Kassner and Pascal Hirmer and Matthias Wieland and Frank Steimle and Jan K{\"o}nigsberger and Bernhard Mitschang},
title = {{The Social Factory: Connecting People, Machines and Data in Manufacturing for Context-Aware Exception Escalation}},
booktitle = {Proceedings of the 50th Hawaii International Conference on System Sciences},
publisher = {Online},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {1--10},
type = {Konferenz-Beitrag},
month = {Januar},
year = {2017},
isbn = {978-0-9981331-0-2},
keywords = {decision support; internet of things; smart manufacturing; social media; text analytics},
language = {Englisch},
cr-category = {E.0 Data General,
H.2 Database Management,
H.3 Information Storage and Retrieval,
H.4 Information Systems Applications},
ee = {http://hdl.handle.net/10125/41355},
contact = {pascal.hirmer@ipvs.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {Manufacturing environments are socio-technical systems $\backslash$ where people have to
interact with machines to achieve $\backslash$ a common goal. The goal of the fourth
industrial revolution is $\backslash$ to improve their flexibility for mass customization
and rapidly $\backslash$ changing production conditions. As a contribution towards $\backslash$ this
goal, we introduce the Social Factory: a social network $\backslash$ with a powerful
analytics backend to improve the connection $\backslash$ between the persons working in
the production environment, $\backslash$ the manufacturing machines, and the data that is
created $\backslash$ in the process. We represent machines, people and chatbots $\backslash$ for
information provisioning as abstract users in the social $\backslash$ network. We enable
natural language based communication between $\backslash$ them and provide a rich
knowledge base and automated $\backslash$ problem solution suggestions. Access to complex
production $\backslash$ environments thus becomes intuitive, cooperation among users $\backslash$
improves and problems are resolved more easily.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-05&engl=0}
}
@inproceedings {INPROC-2016-35,
author = {Jan K{\"o}nigsberger and Bernhard Mitschang},
title = {{A Semantically-enabled SOA Governance Repository}},
booktitle = {Proceedings of the 2016 IEEE 17th International Conference on Information Reuse and Integration},
editor = {IEEE Computer Society},
address = {Los Alamitos, California, Washington, Tokyo},
publisher = {IEEE Computer Society Conference Publishing Services},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {423--432},
type = {Konferenz-Beitrag},
month = {August},
year = {2016},
isbn = {978-1-5090-3207-5},
keywords = {SOA; Governance; Repository; Semantic Web},
language = {Englisch},
cr-category = {D.2.11 Software Engineering Software Architectures,
H.3.5 Online Information Services,
I.2.4 Knowledge Representation Formalisms and Methods},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {Companies in today's world need to cope with an ever greater need for flexible
and agile IT systems to keep up with the competition and rapidly changing
markets. This leads to increasingly complex system landscapes that are often
realized using service-oriented architectures (SOA). Companies often struggle
to handle the complexity and the governance activities necessary after this
paradigm shift.
We therefore present a semantically-enabled SOA Governance Repository as the
central tool to manage and govern all SOA-related activities within a company.
This repository is based on our previously defined key governance aspects as
well as our SOA Governance Meta Model (SOA-GovMM). We describe how our
repository is able to support and improve the speed and flexibility of
company's IT processes.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2016-35&engl=0}
}
@inproceedings {INPROC-2016-07,
author = {Christoph Gr{\"o}ger and Laura Kassner and Eva Hoos and Jan K{\"o}nigsberger and Cornelia Kiefer and Stefan Silcher and Bernhard Mitschang},
title = {{The Data-Driven Factory. Leveraging Big Industrial Data for Agile, Learning and Human-Centric Manufacturing}},
booktitle = {Proceedings of the 18th International Conference on Enterprise Information Systems},
editor = {Slimane Hammoudi and Leszek Maciaszek and Michele M. Missikoff and Olivier Camp and Jose Cordeiro},
publisher = {SciTePress},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {40--52},
type = {Konferenz-Beitrag},
month = {April},
year = {2016},
isbn = {978-989-758-187-8},
keywords = {IT Architecture, Data Analytics, Big Data, Smart Manufacturing, Industrie 4.0},
language = {Englisch},
cr-category = {H.4.0 Information Systems Applications General,
J.2 Physical Sciences and Engineering},
contact = {Email an Christoph.Groeger@ipvs.uni-stuttgart.de oder laura.kassner@ipvs.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {Global competition in the manufacturing industry is characterized by ever
shorter product life cycles, increas-ing complexity and a turbulent
environment. High product quality, continuously improved processes as well as
changeable organizational structures constitute central success factors for
manufacturing companies. With the rise of the internet of things and Industrie
4.0, the increasing use of cyber-physical systems as well as the digitalization
of manufacturing operations lead to massive amounts of heterogeneous industrial
data across the product life cycle. In order to leverage these big industrial
data for competitive advantages, we present the concept of the data-driven
factory. The data-driven factory enables agile, learning and human-centric
manu-facturing and makes use of a novel IT architecture, the Stuttgart IT
Architecture for Manufacturing (SITAM), overcoming the insufficiencies of the
traditional information pyramid of manufacturing. We introduce the SITAM
architecture and discuss its conceptual components with respect to
service-oriented integration, ad-vanced analytics and mobile information
provisioning in manufacturing. Moreover, for evaluation purposes, we present a
prototypical implementation of the SITAM architecture as well as a real-world
application sce-nario from the automotive industry to demonstrate the benefits
of the data-driven factory.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2016-07&engl=0}
}
@inproceedings {INPROC-2014-75,
author = {Jan K{\"o}nigsberger and Stefan Silcher and Bernhard Mitschang},
title = {{SOA-GovMM: A Meta Model for a Comprehensive SOA Governance Repository}},
booktitle = {Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration},
editor = {James Joshi and Elisa Bertino and Bhavani Thuraisingham and Ling Liu},
address = {Piscataway, NJ, USA},
publisher = {IEEE Systems, Man, and Cybernetics Society (SMC)},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {187--194},
type = {Konferenz-Beitrag},
month = {August},
year = {2014},
isbn = {978-1-4799-5880-1},
keywords = {Service-Oriented Architecture, SOA Governance, Meta Model, Governance Repository},
language = {Englisch},
cr-category = {D.2.11 Software Engineering Software Architectures,
H.3.3 Information Search and Retrieval},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2014-75/INPROC-2014-75.pdf},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {In recent years, the paradigm of service-oriented architecture (SOA) has more
and more found its way into many organizations. The SOA principles of loosely
coupled and reusable services has convinced decision makers in many
organizations to start SOA initiatives. Yet, the lack of proper governance
mechanisms has doomed many projects to fail. Although some SOA governance
frameworks exist, they differ highly in scope and none of them covers the whole
spectrum necessary to properly govern a SOA. In this paper we identify and
discuss eleven core areas the governance of a SOA has to cover in order to
realize the intended benefit in flexibility and agility. We then analyze and
evaluate existing SOA governance frameworks with regard to those requirements.
Subsequently, we present a meta model composed of four parts: Service Provider,
Service Consumer, Organizational Structure and Business Object. We show, that
those four parts cover all requirements for a comprehensive SOA governance
repository. This allows an organization to leverage the information integrated
in the repository to better govern their SOA and therefore improve the chances
of its success.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-75&engl=0}
}
@inproceedings {INPROC-2014-43,
author = {Marcel Clappier and Tobias Helbig and Jan K{\"o}nigsberger and Julia Sch{\"u}tten-Breitenbach and Kamran Taheri},
title = {{A Decision Concept for the Economic Evaluation of Different Recycling Paths in the Dismantling of End-of-Life Vehicles}},
booktitle = {Smart Digital Futures 2014},
editor = {Rui Neves-Silva and George A. Tshirintzis and Vladimir Uskov and Robert J. Howlett and Lakhmi C. Jain},
address = {Amsterdam, Berlin, Tokyo, Washington},
publisher = {IOS Press},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
series = {Frontiers in Artificial Intelligence and},
volume = {262},
pages = {38--47},
type = {Konferenz-Beitrag},
month = {Januar},
year = {2014},
isbn = {978-1-61499-404-6},
isbn = {978-1-61499-405-3},
keywords = {decision concept, end-of-life vehicles, recycling, IT concept, app concept},
language = {Englisch},
cr-category = {H.4.2 Information Systems Applications Types of Systems,
H.5.2 Information Interfaces and Presentation User Interfaces},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2014-43/INPROC-2014-43.pdf},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {Due to the scarcity of raw materials, the recycling of end-of-life vehicles is
becoming increasingly important. The essential decision for the cycle of
materials is made in the dismantling company which disassembles the vehicle
parts and determines the further recycling path: reuse as a replacement part,
specific substantial exploitation or exploitation by shredding. This decision
is the central aspect of this paper, taking into account the economic aspects,
the uncertainties of the market and the applicability of the method. Therefore
a detailed cost analysis model is presented, including a method for prediction
of the replacement part market. In addition an IT concept is presented to
visualize the result of the analysis and support the decision making.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-43&engl=0}
}
@inproceedings {INPROC-2013-38,
author = {Stefan Silcher and Jan K{\"o}nigsberger and Peter Reimann and Bernhard Mitschang},
title = {{Cooperative service registries for the service-based Product Lifecycle Management architecture}},
booktitle = {Proceedings of the 17th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD '13)},
publisher = {IEEE Xplore},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {439--446},
type = {Konferenz-Beitrag},
month = {Juni},
year = {2013},
isbn = {978-1-4673-6083-8},
doi = {10.1109/CSCWD.2013.6581003},
keywords = {Collaborative Product Lifecycle Management; Cooperative Service Registries; Enterprise Service Bus; Service-oriented Architecture},
language = {Englisch},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software,
H.3.4 Information Storage and Retrieval Systems and Software,
J.1 Administration Data Processing},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {Product Lifecycle Management (PLM) comprises many different tasks across
multiple domains, such as product development and production. Thus,
multidisciplinary engineering teams have to collaborate to successfully design
and produce products. Nowadays, engineers are supported with many software
solutions, which are tailored to the work of each engineer. The problem is the
missing or bad integration between these IT solutions, which leads to
noncontinuous processes and an insufficient cooperation. The Service-oriented
Architecture (SOA) supports the needed flexible integration of applications
based on services and moreover an automation and integration of processes via
workflows. In previous work, we proposed a service-oriented PLM architecture
that provides these benefits and supports continuous processes. Thereby,
services of different domains and phases of the product life cycle need to
collaborate in a distributed fashion. In this paper, we systematically
identify, define and rate representative models for the management of
corresponding distributed service registries, which enable an efficient
collaboration of services. Based on a prototypical implementation of the
best-rated model in a layout redesign scenario, we assess our approach for its
suitability in PLM. The selected service registry model provides transparent
access to all services of different domains and shows the ease of integrating
new applications into the product life cycle. It thereby enables an improved
cooperation of engineers across various domains to define cross-domain
processes.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2013-38&engl=0}
}
@article {ART-2017-07,
author = {Christian Weber and Jan K{\"o}nigsberger},
title = {{Industrie 4.0: Aktuelle Entwicklungen f{\"u}r Analytics - Teil 2: Vergleich und Bewertung von Industrie 4.0-Referenzarchitekturen}},
journal = {wt Werkstattstechnik online},
publisher = {Springer-VDI-Verlag},
volume = {107},
number = {6},
pages = {405--409},
type = {Artikel in Zeitschrift},
month = {Juni},
year = {2017},
keywords = {IT Architecture; Analytics; Edge Analytics; Big Data; Smart Manufacturing; Industrie 4.0; Industrial Internet},
language = {Deutsch},
cr-category = {H.4.0 Information Systems Applications General,
J.2 Physical Sciences and Engineering,
J.6 Computer-Aided Engineering},
ee = {http://www.werkstattstechnik.de/wt/currentarticle.php?data[article_id]=87256},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {Die Verarbeitung gro{\ss}er Datenmengen sowie die Erkenntnis, dass Datenanalysen
eine hohe Relevanz haben, sind in den produzierenden Unternehmen angekommen.
Bekannte Anwendungsbeispiele sind Digital Mock-Up in der Produktentwicklung
oder Prozessoptimierung durch Predictive Maintenance. Die in letzter Zeit
entwickelten Referenzarchitekturen in diesen breitgef{\"a}cherten Themenfeldern
betrachten dementsprechend verschiedene Aspekte in unterschiedlichen
Auspr{\"a}gungen. Dieser aus zwei Teilen bestehende Beitrag rekapituliert und
bewertet diese Entwicklungen, um Unternehmen bei der Umsetzung ihrer eigenen
individuellen Architektur Hilfestellung zu geben. Im ersten Teil des Beitrags
(Ausgabe 3-2017: wt Werkstattstechnik online) wurden aktuelle
Referenzarchitekturen mit ihren Architekturbausteinen im Bereich Industrie 4.0
vorgestellt. In diesem zweiten Teil werden nun die Referenzarchitekturen unter
dem Gesichtspunkt der Themenfelder Analytics sowie Datenmanagement untersucht
und bewertet.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2017-07&engl=0}
}
@article {ART-2017-02,
author = {Christian Weber and Jan K{\"o}nigsberger},
title = {{Industrie 4.0: Aktuelle Entwicklungen f{\"u}r Analytics - Teil 1: Analytics und Datenmanagement in Industrie 4.0-Referenzarchitekturen}},
journal = {wt Werkstattstechnik online},
address = {D{\"u}sseldorf},
publisher = {Springer-VDI-Verlag},
volume = {107},
number = {3},
pages = {113--117},
type = {Artikel in Zeitschrift},
month = {M{\"a}rz},
year = {2017},
keywords = {IT Architecture; Analytics; Edge Analytics; Big Data; Smart Manufacturing; Industrie 4.0; Industrial Internet},
language = {Deutsch},
cr-category = {H.4.0 Information Systems Applications General,
J.2 Physical Sciences and Engineering,
J.6 Computer-Aided Engineering},
ee = {http://www.werkstattstechnik.de/wt/currentarticle.php?data[article_id]=87256},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {Die Verarbeitung gro{\ss}er Datenmengen sowie die hohe Relevanz von Datenanalysen
sind in den produzierenden Unternehmen mittlerweile angekommen. Bekannte
Anwendungsbeispiele sind Digital Mock-Up in der Produktentwicklung oder
Prozessoptimierung durch Predictive Maintenance. Die in letzter Zeit
entwickelten Referenzarchitekturen in diesen breitgef{\"a}cherten Themenfeldern
betrachten dementsprechend verschiedene Aspekte in unterschiedlichen
Auspr{\"a}gungen. Dieser aus zwei Teilen bestehende Fachbeitrag rekapituliert und
bewertet diese Entwicklungen, um Unternehmen bei der Umsetzung ihrer eigenen
individuellen Architektur Hilfestellung zu geben. Im Teil 1 werden aktuelle
Referenzarchitekturen mit ihren Architekturbausteinen im Bereich Industrie 4.0
vorgestellt. Im zweiten Teil (Ausgabe 6-2017 der wt Werkstattstechnik online)
werden die Referenzarchitekturen unter dem Gesichtspunkt der Themenfelder
Analytics sowie Datenmanagement untersucht und bewertet.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2017-02&engl=0}
}
@article {ART-2015-03,
author = {Stefan Silcher and Erwin Gro{\ss} and Jan K{\"o}nigsberger and J{\"o}rg Siegert and Michael Lickefett and Thomas Bauernhansl and Bernhard Mitschang},
title = {{Mobile Fabriklayoutplanung}},
journal = {wt Werkstattstechnik online},
address = {D{\"u}sseldorf},
publisher = {Springer-VDI-Verlag},
volume = {105},
number = {3},
pages = {96--101},
type = {Artikel in Zeitschrift},
month = {M{\"a}rz},
year = {2015},
language = {Deutsch},
cr-category = {J.6 Computer-Aided Engineering,
H.4.2 Information Systems Applications Types of Systems},
ee = {http://www.werkstattstechnik.de/wt/currentarticle.php?data[article_id]=82746},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {Eine stetig steigende Produktvielfalt sowie ein sich schnell {\"a}nderndes
Marktumfeld erfordern neue Methoden der Planung, um auf diese Komplexit{\"a}t der
M{\"a}rkte angemessen zu reagieren. Einen wichtigen Stellhebel bildet dabei die
Wandlungsf{\"a}higkeit, die durch geeignete Planungsmethoden unterst{\"u}tzt und
optimiert wird. Gerade in der Layoutplanung k{\"o}nnen geeignete Methoden und
Systeme zu einem Wettbewerbsvorteil f{\"u}hren. Dieser Fachartikel geht am
Beispiel der Lernfabrik {\^a}€žadvanced Industrial Engineering{\^a}€ś (aIE) und einer
f{\"u}r das Android-Betriebssystem entwickelten App zur Layoutplanung auf die
mobile Layoutplanung {\^a}€žvor Ort{\^a}€ś in der Fabrik ein.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2015-03&engl=0}
}
@inbook {INBOOK-2017-04,
author = {Laura Kassner and Christoph Gr{\"o}ger and Jan K{\"o}nigsberger and Eva Hoos and Cornelia Kiefer and Christian Weber and Stefan Silcher and Bernhard Mitschang},
title = {{The Stuttgart IT Architecture for Manufacturing}},
series = {Enterprise Information Systems: 18th International Conference, ICEIS 2016, Rome, Italy, April 25--28, 2016, Revised Selected Papers},
publisher = {Springer International Publishing},
series = {Lecture Notes in Business Information Processing},
volume = {291},
pages = {53--80},
type = {Beitrag in Buch},
month = {Juni},
year = {2017},
isbn = {978-3-319-62386-3},
doi = {10.1007/978-3-319-62386-3_3},
language = {Englisch},
cr-category = {H.4.0 Information Systems Applications General,
D.2.12 Software Engineering Interoperability,
J.2 Physical Sciences and Engineering},
ee = {https://link.springer.com/chapter/10.1007/978-3-319-62386-3_3},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {The global conditions for manufacturing are rapidly changing towards shorter
product life cycles, more complexity and more turbulence. The manufacturing
industry must meet the demands of this shifting environment and the increased
global competition by ensuring high product quality, continuous improvement of
processes and increasingly flexible organization. Technological developments
towards smart manufacturing create big industrial data which needs to be
leveraged for competitive advantages. We present a novel IT architecture for
data-driven manufacturing, the Stuttgart IT Architecture for Manufacturing
(SITAM). It addresses the weaknesses of traditional manufacturing IT by
providing IT systems integration, holistic data analytics and mobile
information provisioning. The SITAM surpasses competing reference architectures
for smart manufacturing because it has a strong focus on analytics and mobile
integration of human workers into the smart production environment and because
it includes concrete recommendations for technologies to implement it, thus
filling a granularity gap between conceptual and case-based architectures. To
illustrate the benefits of the SITAM{\^a}€™s prototypical implementation, we
present an application scenario for value-added services in the automotive
industry.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2017-04&engl=0}
}