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Systems
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Decision Making with Model-Based Systems Engineering
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Decision Making with Model-Based Systems Engineering

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Engineering".

Deadline for manuscript submissions: 20 June 2024 | Viewed by 4253

Special Issue Editors

Prof. Dr. Gregory S. Parnell

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Guest Editor
Department of Industrial Engineering, University of Arkansas, Fayetteville, AR 72701, USA
Interests: systems engineering; decision analysis; risk analysis; agile systems design; project management
Special Issues, Collections and Topics in MDPI journals
Dr. Eric Specking

E-Mail Website
Guest Editor
Department of Industrial Engineering, University of Arkansas, Fayetteville, AR 72701, USA
Interests: systems engineering; decision quality; engineering and project management; engineering educationsystems engineering; decision quality; engineering and project management; engineering education
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Model-based systems engineering (MBSE) is an approach to systems engineering that emphasizes the use of models to facilitate system design, analysis, and decision making throughout a system's life cycle. Decision making is a critical aspect of MBSE, as it enables engineers to make informed choices based on the models that they have created.

The role of decision making in MBSE is to use models to evaluate different alternatives and select the best course of action. MBSE models can represent a wide range of system elements, including system requirements, functions, behavior, and performance. By modeling and simulating a system's behavior and performance under different conditions, engineers can use MBSE to evaluate trade-offs and make decisions concerning the best design choices.

The models used in MBSE also enable engineers to explore “what-if” scenarios, allowing them to model, simulate, and evaluate different options without committing to a particular design. This helps to reduce risk and uncertainty in the decision-making process, as engineers can test the implications of their decisions before implementing them.

In summary, decision making is a critical aspect of MBSE, as it enables engineers to make informed choices based on models that represent various aspects of a system. MBSE models facilitate decision making by simulating system behavior and performance, evaluating trade-offs, and exploring different options.

Prof. Dr. Gregory S. Parnell
Dr. Eric Specking
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. Systems is an international peer-reviewed open access monthly 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.

Keywords

  • decision making with MBSE
  • decision analysis with MBSE
  • systems analysis with MBSE

Published Papers (2 papers)

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Research

18 pages, 4119 KiB  
Article
Concurrent Value-Driven Decision-Making Process for the Aircraft, Supply Chain and Manufacturing Systems Design
by Giuseppa Donelli, Luca Boggero and Björn Nagel
Systems 2023, 11(12), 578; https://doi.org/10.3390/systems11120578 - 18 Dec 2023
Viewed by 1441
Abstract
The integration of product design and supply-chain management can lead to an increase in the profitability and efficiency of companies. However, considering manufacturing, supply chain, and aircraft criteria in the early design phase increases the size of the solutions’ trade space and, thus, [...] Read more.
The integration of product design and supply-chain management can lead to an increase in the profitability and efficiency of companies. However, considering manufacturing, supply chain, and aircraft criteria in the early design phase increases the size of the solutions’ trade space and, thus, the complexity of performing the decision-making process. This paper demonstrates how to leverage value-model theory to simplify the decision-making process when multiple criteria related to multiple systems are considered at the same time. The proposed concurrent approach is formalized from a systems-engineering perspective, considering the interactions between the lifecycle stages of the System of Interest, i.e., the aircraft, and Enabling Systems like the supply chain and manufacturing. A value-based interactive dashboard, called VALORISE, is developed to automatize the process, support decision-makers in modeling their expectations, analyze real-time strategic scenarios, and easily explore the value-driven trade space for best-solution identification. An aeronautical application case highlights the advantages of leveraging the proposed concurrent approach to overcome the limits of traditional approaches, in which decisions about supply chain and manufacturing are addressed once the aircraft configuration is decided. Full article
(This article belongs to the Special Issue Decision Making with Model-Based Systems Engineering)
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24 pages, 7332 KiB  
Article
A Model-Based Engineering Approach for Evaluating Software-Defined Radio Architecture
by Mohammed G. Albayati, Eric B. Dano, Ravi Rajamani and Amy E. Thompson
Systems 2023, 11(9), 480; https://doi.org/10.3390/systems11090480 - 20 Sep 2023
Cited by 1 | Viewed by 1783
Abstract
In product development, important specification and design decisions must be made at various stages of the lifecycle that include design, manufacturing, operations, and support. However, making these decisions becomes more complex when a multi-disciplinary team of stakeholders is involved in system-level or subsystem-level [...] Read more.
In product development, important specification and design decisions must be made at various stages of the lifecycle that include design, manufacturing, operations, and support. However, making these decisions becomes more complex when a multi-disciplinary team of stakeholders is involved in system-level or subsystem-level architecture and design decisions. Model-Based Engineering (MBE) approaches are enabling a digital thread of connected data and models. This work demonstrates a novel MBE approach that incorporates a model-based systems engineering (MBSE) method and a multi-criteria decision-making (MCDM) method to determine the best architecture solution that aligns with stakeholder needs and objectives over multiple domains. This approach demonstrates the connection of a system descriptive model, modeled using the systems modeling language (SysML), to underlying physics-based engineering models for the purpose of better predicting the technical performance of systems during the architecture development phase. This approach is demonstrated for a common aerospace communications application, a software-defined radio. This novel MBE approach supports digital transformation at organizations and allows for earlier design validation, enabling designers to test and select the best system architecture from many candidates and validate that the design meets stakeholder needs. Full article
(This article belongs to the Special Issue Decision Making with Model-Based Systems Engineering)
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