and networks **
We are sending you an invitation to send a paper for our invited session
*"Implementing Digital Twin in Manufacturing and Logistics Systems: New
Trends and Challenges"* *(INVITED SESSION CODE: 27r51)* at the IFAC 2023
Global Conference in Yokohama (Japan).
The conference will take place in July 09-14 2023.
The invited session is co-chaired by Dr. Serena Finco (University of
Padova), Ass. Prof. Mirco Peron (NTNU), Ass. Prof. Audrey Derrien (IMT
Atlantique), Prof. Olga Battaïa (Kedge Business School), Prof. Xavier
Delorme (Mines Saint Etienne), Prof. Dmitry Ivanov (Berlin School of
Economics and Law) and Prof. Daria Battini (University of Padova).
We are looking forward to receiving your research!
The detailed call for papers is given below. We hope you will be able to
participate. Thank you!
**Important Dates**
---------------------
Draft paper submission deadline:31/10/2022
Notification of acceptance:21/02/2023
Final papers submission deadline:31/03/2023
Conference date:09-14/07/2023
Early registration deadline: tba
**Details of the CFP**
------------------
Digitalization in Manufacturing and Logistics (M&L) systems represents a
crucial driver able to lead companies in achieving higher levels of
productivity and flexibility. Digital technologies, such as Internet of
Things, Cloud Computing, Artificial Intelligence, Virtual Reality,
Augmented Reality, or the new generation of Information Technologies,
allow an intelligent integration and interconnection among all actors
involved in the M&L processes. Moreover, digital technologies enable
real-time monitoring, control, and data collection, as well as the
development of Cyber-Physical systems that are able to combine the
physical and virtual environment. In this context, the Digital-Twin (DT)
concept represents an emerging research topic in M&L systems. DT is
defined in several ways according to the application field. However, in
M&L systems, the DT consists in creating a virtual representation of the
system aiming to evaluate, predict, and optimize their states and future
behaviour. Moreover, the data flows between physical and virtual
entities are integrated in both directions. It implies that a change in
the physical entity could lead to a change in the virtual one and vice
versa. In such a way, DT is designed to continuously elaborate data from
the past, monitor the present in real-time, and, finally, support future
operations decision-making by combining past data with the real-time
ones. According to the scientific literature, DT is applied in several
M&L phases such as production planning and control, workpiece quality
prediction, machine and human-robot collaboration, real-time M&L systems
monitoring, product traceability, and performance prediction, supply
chain resilience. However, there are some critical issues in
implementing DT. For example, there are difficulties in sharing DT in
multiple application systems involving several stakeholders,
difficulties in ensuring efficient storage, processing, and analysis of
a large amount of data. Moreover, there is a need to ensure reliability
and robustness of the DT. Furthermore, due to the high degree of
heterogeneity in digital technologies, there are some difficulties in
making suitable decisions and investments in DT from a company
perspective. Finally, some gaps are still present related, for example,
to complex manufacturing systems, and external and internal factors that
can affect the degradation of machine or worker skills.
For this reason, this session aims to investigate new trends and
challenges in implementing DT concepts in M&L systems. Further, the
evaluation of benefits and criticalities from a multi-disciplinary
perspective represents another aim of the proposed session due to the
different scientific research domains (e.g., statistics, artificial
intelligence, computer science, operations, etc.) involved in
implementing DT.
**Topics (not limited to)**
---------------------------
- Using new emerging technologies for the DT implementation in M&L systems
- Conceptual Frameworks to Support DT Development in M&L Systems
- DT architectures in M&L systems
- Real-time-based models and algorithms for assembly line design,
balancing, and rebalancing techniques
- Simulation and optimization models based on real-time data for
production planning and control in flexible manufacturing systems
- Real-Time Job Scheduling and Sequencing for Complex M&L Systems
- DT models for improving M&L system layout
- DT models for analysing the Machine-to-Machine interaction and
Human-Robot collaboration DT methods and models to improve human factors
in M&L systems
- Using DT concepts to improve M&L systems reliability, availability,
and efficiency
- DT as a tool to improve M&L system resilience
- DT in operations and supply chain management
- DT for supply chain resilience
- Quantitative and qualitative analysis of the implementation of DT in
M&L systems
- DT applications from real M&L systems
**Submission Guidelines**
-------------------------
For author guidelines, please refer to www.ifac-control.org. All papers
must be submitted electronically using https://ifac.papercept.net/ and
must follow the two-column format in accordance with the IFAC manuscript
style. Please use the official IFAC instructions and template to prepare
your contribution as a full-length draft paper (6 pages). Submission
details are available on the symposium website. There is the possibility
to submit discussion papers (limited to 4 pages) that are published in
the preprints only. All submissions must be written in English. All
articles that comply with the submission guidelines will be
peer-reviewed by IPC members. The corresponding author submits the paper
online (pdf format) as an open-invitation session paper. Submission as
an invited paper requires the invited session code: _*27r51*_. Special
issues of IFAC World Congress 2023 are planned in IFAC and other
high-ranking journals.
Best regards,
Serena Finco, Mirco Peron, Audrey Derrien, Olga Battaia, Xavier Delorme,
Dmitry Ivanov, Daria Battini
--
Dr. Finco Serena
Assistant Professor in Industrial Plants and Logistics
University of Padova - Department of Management and Engineering
Stradella San Nicola, 3 - 36100 Vicenza (Italy)
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