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Recent Advances in Systems Engineering Challenge

A special issue of Applied Sciences (ISSN 2076-3417).

Deadline for manuscript submissions: closed (30 December 2023) | Viewed by 3210

Special Issue Editors

Leonard de Vinci Pole Universitaire Research Center, Leonard de Vinci Pole Universitaire, La Défense, France
Interests: static analysis; software verification; model checking; safety analysis; systems engineering

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Guest Editor
ETIS Lab UMR8051, Computer Science Department, CY Cergy Paris University, 95000 Cergy, France
Interests: IoV; C-ITS; trust; distributed systems; distributed intelligence; multi-agent systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Leonard de Vinci Pole Universitaire Research Center, Leonard de Vinci Pole Universitaire, La Défense, France
Interests: database optimization; distributed DB/NoSQL; graph DB; Information Retrieval; digital footprint modeling

Special Issue Information

Dear Colleagues,

Ongoing research on systems engineering faces various challenges due to the complexity of systems that are interconnected, equipped with different technologies and devices, interacting with humans or completely autonomous, and dealing with massive data in order to become smarter and to offer more services. At the same time, these need to answer to stakeholder needs in a time- and cost-effective manner and take into account the economic, social, and environmental constraints.

This Special Issue on “Recent Advances in Systems Engineering Challenge” emphasizes multiple engineering fields, such as control, mechatronics, communication, software, safety and security, etc., applied to a wide range of systems in energy, transportation, healthcare, manufacturing, etc. We are inviting submissions to this Special Issue that describe and evaluate the latest theoretical studies and strategies, design methods, tools and techniques, as well as real-world implementations and applications.

This Special Issue of systems engineering solicits high-quality papers and accepts the following types of papers: 1) research papers, 2) case studies or projects using modeling and simulation, and 3) systematic reviews. The topics of interest to this Special Issue include but are not limited to:

  • Modeling and simulation of complex systems;
  • System-of-systems engineering;
  • Safety and security in cyberphysical systems;
  • Green Internet of Things;
  • Artificial intelligence in systems engineering;
  • Information systems engineering.

Dr. Nga Nguyen
Dr. Lylia Alouache
Prof. Dr. Nicolas Travers
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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.

Published Papers (2 papers)

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Research

29 pages, 8112 KiB  
Article
SYSML4TA: A SysML Profile for Consistent Tolerance Analysis in a Manufacturing System Case Application
by Sergio Benavent-Nácher, Pedro Rosado Castellano, Fernando Romero Subirón and José Vicente Abellán-Nebot
Appl. Sci. 2023, 13(6), 3794; https://doi.org/10.3390/app13063794 - 16 Mar 2023
Cited by 2 | Viewed by 1397
Abstract
Tolerance analysis is a key engineering task that is usually supported by domain-specific analysis models and tools that are generally not connected to the system functionality. The model-based system engineering (MBSE) approach is a potential solution to this limitation, but it has not [...] Read more.
Tolerance analysis is a key engineering task that is usually supported by domain-specific analysis models and tools that are generally not connected to the system functionality. The model-based system engineering (MBSE) approach is a potential solution to this limitation, but it has not yet been deeply explored in this type of mechanical analysis, for which some problems need to be explored. One of these issues is the capacity of languages such as SysML to describe solution principles based on active surfaces that participate in functionality and are present for tolerance analysis. Thus, this study explored the possibilities that enable SysML to represent these geometries and their mathematical relationships based on Topologically and Technologically Related Surfaces (TTRS) theory and aligned with Geometric Dimensioning and Tolerancing (GD&T) standards. Additionally, the capacity of SysML to assure the consistency of tolerance analysis models is also explored, due to the limitations identified in analysis languages like Modelica. In this context, this paper presents a SysML profile for tolerance analysis modeling (SysML4TA), containing domain-specific semantics (concepts and constraints) to assure the completeness of the analysis models and consistency between the different models considered in the integrated model of the system. Finally, a case study applied to a manufacturing context is presented to validate the capacity of SysML to solve the identified problems. Full article
(This article belongs to the Special Issue Recent Advances in Systems Engineering Challenge)
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14 pages, 3610 KiB  
Article
Software Portfolio Optimization: Access Rejection versus Underutilization
by Konstantin Kogan, Yael Perlman and Galit Kelner
Appl. Sci. 2023, 13(4), 2314; https://doi.org/10.3390/app13042314 - 10 Feb 2023
Cited by 1 | Viewed by 1098
Abstract
Several types of network and non-network licenses control users’ access to software. The literature on efficient selection of software licenses has mostly addressed queuing models intended to estimate the probability of denial of access for a user. Under that approach, however, the lower [...] Read more.
Several types of network and non-network licenses control users’ access to software. The literature on efficient selection of software licenses has mostly addressed queuing models intended to estimate the probability of denial of access for a user. Under that approach, however, the lower one sets the rejection probability, the greater the likelihood that licenses will be underused. We follow the literature in describing demand for software access with an Erlang queuing model and present a general integer program for optimizing mixed-license software portfolios under constraints on two types of risk: access rejection and license underutilization. The program, in which the number of licenses of each type is a decision variable, minimizes the total licensing cost while satisfying constraints on access denial and license underutilization. We evaluate and illustrate the ability of an efficient enumerative algorithm to solve the common problem of selecting an appropriate mix of floating and network named user licenses. Our case-study analysis indicates the potential for reducing the cost of licensing while also limiting problems associated with lack of access and underutilization. Full article
(This article belongs to the Special Issue Recent Advances in Systems Engineering Challenge)
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