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Modelling
Special Issues
Promoting Interoperability within Modelling and Simulation Applications
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Promoting Interoperability within Modelling and Simulation Applications

A special issue of Modelling (ISSN 2673-3951).

Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 2964

Special Issue Editors

Prof. Dr. Greg Zacharewicz

E-Mail Website
Guest Editor
IMT-Mines Ales, LSR, 6 Avenue de Clavières, 30100 Alès, France
Interests: model and enterprise interoperability; distributed simulation; workflow; business process modeling and simulation; model driven architecture (MDA); ontology; BPMN; DEVS formalism
Special Issues, Collections and Topics in MDPI journals
Dr. Jalal Possik

E-Mail Website
Guest Editor
FGES, Université Catholique de Lille, 60 Bd Vauban, 59800 Lille, France
Interests: modelling and simulation; distributed simulation; interoperability; IT solutions; process modelling; optimization; mathematical modelling; agent-based modelling and simulation; smart manufacturing; Industry 4.0; lean management; artificial intelligence
Prof. Dr. Charles Yaacoub

E-Mail Website
Guest Editor
FGES, Université Catholique de Lille, 60 Bd Vauban, 59800 Lille, France
Interests: deep learning; image and signal processing; computer vision; multimedia communications; communication systems
Prof. Dr. Nicolas Daclin

E-Mail Website
Guest Editor
IMT-Mines Ales, LSR, 6 Avenue de Clavières, 30100 Alès, France
Interests: enterprise interoperability; model driven engineering; BPMN; verification; process automation; system engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce the call for papers for a Special Issue of Modelling entitled "Promoting Interoperability within Modelling and Simulation Applications." This publication aims to gather original research contributions, case studies, and review articles that address the challenges of and advancements in achieving seamless integration and collaboration across diverse modelling and simulation systems.

The Special Issue invites submissions on various topics related to the promotion of interoperability. These include, but are not limited to:

  • Standardization efforts and initiatives for enhancing interoperability in modelling and simulation applications;
  • Novel methodologies and techniques for data exchange, model integration, and sharing of simulation results;
  • Architectural frameworks and protocols for ensuring interoperability in complex simulation environments;
  • Interoperability challenges and solutions in specific domains such as healthcare, defense, transportation, and manufacturing.

Authors are encouraged to submit manuscripts that adhere to Modelling’s guidelines. All submissions will undergo a rigorous peer review process to ensure the originality, quality, and relevance of the research.

Please submit your manuscripts electronically through the online submission system, indicating that it is intended for the Special Issue on "Promoting Interoperability within Modelling and Simulation Applications."

We look forward to receiving your contributions and fostering insightful discussions on promoting interoperability within modelling and simulation applications. If you have any inquiries or require further information, please do not hesitate to contact us.

Prof. Dr. Greg Zacharewicz
Dr. Jalal Possik
Prof. Dr. Charles Yaacoub
Dr. Nicolas Daclin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Modelling is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

 

Keywords

  • modelling and simulation
  • distributed simulation
  • interoperability
  • discrete event simulation
  • agent-based simulation

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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Research

22 pages, 3657 KiB  
Article
Tracking Interoperability and Data Quality: A Methodology with BPMN 2.0 Extensions and Performance Evaluation
by Xabier Heguy, Said Tazi, Gregory Zacharewicz and Yves Ducq
Modelling 2024, 5(3), 797-818; https://doi.org/10.3390/modelling5030042 - 11 Jul 2024
Viewed by 817
Abstract
Enterprises today face an increasing need for seamless data exchange across various information systems, both internally and with their partners. Addressing challenges in information system and data interoperability is essential. Unfortunately, this issue is often underrecognized by many stakeholders, leading to time wasted [...] Read more.
Enterprises today face an increasing need for seamless data exchange across various information systems, both internally and with their partners. Addressing challenges in information system and data interoperability is essential. Unfortunately, this issue is often underrecognized by many stakeholders, leading to time wasted on non-value-added tasks and a significant decline in data quality. Our contribution comprises two essential components. Firstly, we introduce and implement extensions to BPMN 2.0 to visually represent data exchanges that encounter interoperability issues as well as those successfully resolved. These extensions also provide performance metrics such as cost, duration, quality, and data availability for tasks affected by these exchanges. By doing so, they gauge the extent of the interoperability challenge and underscore the need to address it for all stakeholders within the enterprise. Secondly, we propose a method derived from FMECA, enabling users to meticulously examine each exchanged piece of data and compute its criticality. This approach empowers the prioritization of corrective actions to enhance data quality, establishing a continuous improvement process that ensures optimal data quality over time. Full article
(This article belongs to the Special Issue Promoting Interoperability within Modelling and Simulation Applications)
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14 pages, 2667 KiB  
Article
DIAG Approach: Introducing the Cognitive Process Mining by an Ontology-Driven Approach to Diagnose and Explain Concept Drifts
by Sina Namaki Araghi, Franck Fontanili, Arkopaul Sarkar, Elyes Lamine, Mohamed-Hedi Karray and Frederick Benaben
Modelling 2024, 5(1), 85-98; https://doi.org/10.3390/modelling5010006 - 27 Dec 2023
Cited by 1 | Viewed by 1165
Abstract
The remarkable growth of process mining applications in care pathway monitoring is undeniable. One of the sub-emerging case studies is the use of patients’ location data in process mining analyses. While the streamlining of published works is focused on introducing process discovery algorithms, [...] Read more.
The remarkable growth of process mining applications in care pathway monitoring is undeniable. One of the sub-emerging case studies is the use of patients’ location data in process mining analyses. While the streamlining of published works is focused on introducing process discovery algorithms, there is a necessity to address challenges beyond that. Literature analysis indicates that explainability, reasoning, and characterizing the root causes of process drifts in healthcare processes constitute an important but overlooked challenge. In addition, incorporating domain-specific knowledge into process discovery could be a significant contribution to process mining literature. Therefore, we mitigate the issue by introducing cognitive process mining through the DIAG approach, which consists of a meta-model and an algorithm. This approach enables reasoning and diagnosing in process mining through an ontology-driven framework. With DIAG, we modeled the healthcare semantics in a process mining application and diagnosed the causes of drifts in patients’ pathways. We performed an experiment in a hospital living lab to examine the effectiveness of our approach. Full article
(This article belongs to the Special Issue Promoting Interoperability within Modelling and Simulation Applications)
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