EDOC 2022 Workshop: IDAMS

Intelligent Digital Architecture, Methods, and Services for Industry 4.0 and Society 5.0

Workshops chairs

Alfred Zimmermann, Reutlingen University, Germany, alfred.zimmermann@reutlingen-university.de

Yoshimasa Masuda, Keio University, Japan, and Carnegie Mellon University, USA,

yoshi_masuda@keio.jp and ymasuda@andrew.cmu.edu

Rainer Schmidt, Munich University of Applied Sciences, Germany

rainer.schmidt@hm.edu

Important Dates

• Workshop paper submission: 6 July 2022
• Workshop papers acceptance notification: 10 August 2022
• Workshop camera-ready papers & authors’ registration: 15 September 2022
• EDOC conference and workshops: 3 to 7 October 2022

Call for Papers https://easychair.org/cfp/IDAMS2022

Submission Website https://easychair.org/conferences/?conf=idams2022

Workshop description

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 potential 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 and practice 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 with machine-based ones. 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 digital transformation. This disruptive change interacts with all information processes and systems, which are important business enablers for the 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.

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.

Program Committee

Marco Aiello, University of Stuttgart, Germany

Karlheinz Blank, T-Systems International, Germany

Oliver Bossert, McKinsey&Company, Germany

Abdellah Chehri, University of Quebec at Chicoutimi, Canada

John Gøtze, IT University of Copenhagen, Denmark

Dierk Jugel, Reutlingen University, Germany

Dimka Karastoyanova, University of Groningen, Netherlands

Yohimasa Masuda, Keio University, Japan, Carnegie Mellon University, USA

Michael Möhring, Munich University of Applied Sciences, Germany

Kurt Sandkuhl, University of Rostock, Germany

Rainer Schmidt, Munich University of Applied Sciences, Germany

Christian Schweda, Reutlingen University, Germany

Milan Simic, RMIT University, Australia

Andreas Speck, Christian-Albrechts-University Kiel, Germany

Ulrike Steffens, Hamburg University of Applied Sciences, Germany

Janis Stirna, Stockholm University, Sweden

Asif Gill, University of Technology Sydney, Australia

Hironori Takeuchi, Musashi University, Japan

Matthias Wissotzki, Wismar University of Applied Sciences, Germany

Shuichiro Yamamoto, Nagoya University, Japan

Alfred Zimmermann, Reutlingen University, Germany