A model-based systems engineering approach to capturing disaster management systems

Soyler, Asli; Sala-Diakanda, Serge

doi:10.1109/systems.2010.5482340

Cited by 11 publications

(9 citation statements)

References 12 publications

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“…Soyler and Sala-Diakanda [17] Included disaster management strategies in a SysML system architecture with continuous feedback from the last disaster data.…”

Section: Sysmlmentioning

confidence: 99%

“…SysML Model Integrations with Non-Goal--Oriented Languages 1. Meacham [90] did an integration of SysML with UML to specify cases of presented patterns, while Soyler and Sala-Diakanda [17] also supported an integration with UML, but this time to represent the structure and behavior of systems in one single environment. 2.…”

Section: Goalsmentioning

confidence: 99%

“…To reduce the complexity of SAS and manage traceability between their components, Soyler and Sala-Diakanda [17] presented a model-based framework exploiting SysML. This framework was selected to capture a Disaster Management System in one single environment using feedback to adapt the embedded strategies, plans, and policies.…”

Section: P R E V I E Wmentioning

confidence: 99%

“…Moreover, SysML adds parametric and requirements diagrams to facilitate the connection between system components and their requirements [15]. SysML enables the modeling of software and hardware components as well as their relationships, in a way that simplifies their design [17] and reduces their complexity [18,19].…”

Section: Introductionmentioning

confidence: 99%

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Self-Adaptation Driven by SysML and Goal Models -- A Literature Review

Anda¹,

Amyot²

2022

EISEJ

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Background: Socio-cyber-physical systems (SCPSs) are a type of cyber-physical systems with social concerns. Many SCPSs, such as smart homes, must be able to adapt to reach an optimal symbiosis with users and their contexts. The Systems Modeling Language (SysML) is frequently used to specify ordinary CPSs, whereas goal modeling is a requirements engineering approach used to describe and reason about social concerns. Objective: This paper aims to assess existing modeling techniques that support adaptation in SCPSs, and in particular those that integrate SysML with goal modeling. Method: A systematic literature review presents the main contributions of 52 English articles selected from five databases that use both SysML and goal models (17 techniques), SysML models only (11 techniques), or goal models only (8 techniques) for analysis and self-adaptation. Result: Existing techniques have provided increasingly better modeling support for adaptation in a SCPS context, but overall analysis support remains weak. The techniques that combine SysML and goal modeling offer interesting benefits by tracing goals to SysML (requirements) diagrams and influencing the generation of predefined adaptation strategies for expected contexts, but few target adaptation explicitly and most still suffer from a partial coverage of important goal modeling concepts and of traceability management issues.

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“…Soyler and Sala-Diakanda [17] Included disaster management strategies in a SysML system architecture with continuous feedback from the last disaster data.…”

Section: Sysmlmentioning

confidence: 99%

Section: Goalsmentioning

confidence: 99%

Section: P R E V I E Wmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Self-Adaptation Driven by SysML and Goal Models -- A Literature Review

Anda¹,

Amyot²

2022

EISEJ

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“…Model‐based Systems Engineering approaches have been implemented on other projects as well, ranging from large telescopes [Karban et al., ] to disaster management systems [Soyler and Sala‐Diakanda, ]. There are also numerous challenge teams for using MBSE to solve particular problems in the areas of Modeling and Simulation Interoperability, Space System Modeling, Telescope Modeling, Biomedical Modeling, and GEOSS Modeling [OMG MBSE, 2014].…”

Section: Introductionmentioning

confidence: 99%

A SysML Framework for Modeling Contingency Basing

Nottage

Corns

Soylemezoglu

et al. 2015

Systems Engineering

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Contingency basing presents a planner with numerous design decisions driven by multiple design criteria such as the number of soldiers, base permanency, base location, and other factors. The operational environment of the base is not static either; design requirements change as the mission changes. In this work, we introduce a model-based systems engineering approach to elicit design and operational needs while dealing with the design complexity of constructing a contingency base. The model includes the key facility types that can make a contingency base, interactions between facility types, and required utilities for each facility type. The model elements are kept at an abstract level so the details can be altered as required by the customer needs. Pairing the model with an external analysis tool allows for quick development and testing. Properties of the facility types can be altered either in the model or the analysis tool, and reflected in both. Using the model-based systems engineering concepts of reusability, these elements can be saved and re-used in future base designs allowing for a rapid and adaptable design process. In addition, the sharing of information visually with Object Management Group's Systems Modeling Language TM diagrams enhances the ability to collaborate with nonengineering subject matter experts within the design domain. By graphically showing the conditions and layout of the proposed contingency base, Department of Defense personnel not trained in modeling and simulation were able to interact with the engineering designs and identify gaps in the proposed architecture. C⃝ 2015 Wiley Periodicals, Inc. Syst Eng 18: 162-177, 2015

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Model‐based systems engineering approaches to chemicals and materials manufacturing

Le,

Feingold,

Glandorf

et al. 2023

AIChE Journal

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Model‐based systems engineering (MBSE) is part of a long‐term trend toward model‐centric approaches adopted by many engineering disciplines. We establish the need of an MBSE approach by reviewing the importance, complexity, and vulnerability of the U.S. chemical supply chains. We discuss the origins, work processes, modeling approaches, and supporting tools of the systems engineering discipline (SE) and discuss limitations of the Process Systems Engineering (PSE) framework. We make the case for MBSE as a more generalizable approach. We introduce systems modeling strategies for MBSE, and a novel MBSE method that supports the automation tailored and extended to support the analysis of chemical supply chains. We demonstrate a specific use case of this method by creating a systems model for the manufacturing of an active pharmaceutical ingredient, Atropine. We conclude with a prospectus on developmental opportunities for extracting greater benefit from MBSE in the design and management of chemical supply chains.

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A model-based systems engineering approach to capturing disaster management systems

Cited by 11 publications

References 12 publications

Self-Adaptation Driven by SysML and Goal Models -- A Literature Review

Self-Adaptation Driven by SysML and Goal Models -- A Literature Review

A SysML Framework for Modeling Contingency Basing

Model‐based systems engineering approaches to chemicals and materials manufacturing

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