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Call for Papers - Workshop Intelligent Digital Architecture,
Methods, and Services for Industry 4.0 and Society 5.0 (IDAMS)
The digital transformation of global industries and value chains
and the associated need for structured research and
standardization has given rise to major global and national
initiatives. These initiatives address the potentials and
challenges of digitalization. Enterprises and societies currently
face crucial challenges, while Industry 4.0 becomes important in
the global manufacturing industry all the more. Industry 4.0
offers a range of opportunities for companies to increase the
flexibility and efficiency of production processes. The
development of new business models can be promoted with digital
platforms and architectures for Industry 4.0. Industry 4.0 is
dedicated to research for industry and supports the implementation
of this vision, especially in manufacturing companies. According
to the Japanese government, Society 5.0 is more general and can be
defined as a fusion between cyberspace and physical space,
addressing economic progress aligned with solving social problems
by providing goods and services to meet repeated latent needs
regardless of location, age, gender, or language.
Contemporary advances in the field of artificial intelligence have
led to a rapidly growing number of intelligent systems that can
operate entirely independently of human intervention or enables
interactions of unprecedented complexity with humans. Data plays a
central role in intelligent digital architecture and allows to
automate decisions impacting all stakeholders. The use of
artificial intelligence techniques enables autonomous decisions
that were previously reserved for humans. Intelligent systems
augment processes by creating automated interfaces to human beings
and replacing human-decision making by a machine-based one.
Intelligent digital architectures support the request,
configuration, and fulfillment of services. Digitalization
promotes the creation of intelligent systems and services with an
intelligent digital architecture. Products based on intelligent
digital architectures become aware of their environment, act upon
it, are able to interact with human beings, and can change their
functionality during their lifetime. Based on intelligent digital
architecture products and services have local autonomous and
dynamically extensible capabilities by accessing external
services. Platforms become feasible by matching the supply and
demand of services, resources, and products. Intelligent Digital
Architectures also enable and enhance business models by
integrating resources and leveraging decision making in
unprecedented ways, for instance, by applying Digital Enterprise
Architecture Framework such as the Adaptive Integrated Digital
Architecture Framework (AIDAF). Public discourse on 'autonomous'
algorithms which work on 'passively' collected data contributes to
this view.
The EDOC Workshop - Intelligent Digital Architecture, Methods, and
Services for Industry 4.0 and Society 5.0 - covers fundamental and
practical aspects to support the digital transformation. This
disruptive change interacts with all information processes and
systems, which are important business enablers for digital
transformation for years. Intelligent digital architectures enable
intense interaction with customers and products. The customer is
closely integrated with business processes and interacts like a
co-worker by using implicit touchpoints, which are provided by
mobility and wearable systems and the Internet of Things. In this
way, customer experience is fostered with disruptive
transformation and continuous improvement.
We are delighted to invite contributions to the EDOC Workshop -
Intelligent Digital Architecture, Methods, and Services for
Industry 4.0 and Society 5.0. Our aim is to provide a platform for
researchers and practitioners to discuss both technological and
business aspects in the context of digital architectures, methods,
processes, services, products, platforms, and business models. We
also investigate how intelligent digital architectures support new
ways of value co-creation for Industry 4.0 and Society 5.0.
Important Dates
Workshop paper submission: 18 June 2021
Workshop papers acceptance notification: 16 July 2021
Workshop camera-ready papers due: 30 July 2021
Author registration: 30 July 2021
Workshops sessions: 25 October 2021
Submission
https://easychair.org/conferences/?conf=idams2021
Topics
Digitalization of Products, Services, Processes, Systems, and
Enterprises
Dynamic Capabilities and Digital Enterprise Models
Digital Strategy, Governance, and Management
Digital Enterprise Architectures
AIDAF - Adaptive Integrated Digital Architecture Framework
Security in Digital Architectures
Architectural Patterns for Digitalization and Intelligent
Analytics
Customer Experience and Interaction Design
Runtime Monitoring of Operation Data
Digital Platforms and Ecosystems
Advanced Analytics and Decision Support for Digital Enterprises
Cognitive Models for Decision Support
Artificial Intelligence Problem Solving for Digitalization
Intelligent Systems and Services
Deep Learning and Machine Learning
Semantic Support, Knowledge Representation and Inference
Technologies
Rationality and Explanation Technologies
User Roles and Human-centered Problem Solving and Learning
Digital Visualization, Interaction, and Augmented Reality
Multi-perspective Architectural Viewpoints, Methods, and
Environments
Self-optimizing and Resilient Adaptive Systems
Adaptive Software Architectures
Gill Framework: Adaptive Enterprise Architecture
Decision Support Processes and Frameworks
Intelligent Digital Applications: Digitized Cars, Smart Finance,
Smart City, Smart Home, Smart
Medicine, Smart Energy, Industry 4.0, 3-D Printing and Production
Environments, Robots, etc.
Workshops Chairs
Yoshimasa Masuda, Keio University, Japan, and Carnegie Mellon
University, USA,
yoshi_masuda@keio.jp<mailto:yoshi_masuda@keio.jp>, and
ymasuda@andrew.cmu.edu<mailto:ymasuda@andrew.cmu.edu>
Alfred Zimmermann, Reutlingen University, Germany,
alfred.zimmermann@reutlingen-university.de<mailto:alfred.zimmermann@reutlingen-university.de>
Rainer Schmidt, Munich University of Applied Sciences, Germany,
rainer.schmidt@hm.edu<mailto:rainer.schmidt@hm.edu>
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