SysML profiling for handling army base camp planning

Nottage, Dustin; Corns, Steven

doi:10.1016/j.procs.2011.08.014

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…The SCIRC algorithm ( fig. 1) is designed to solve a system of equations to simultaneously determine resource requirements using established methods (Nottage and Corns, 2011). The SCIRC tool application queries the user to input the number of units of an infrastructure element that needs to be restored and then returns the amount of resources required for restoration, or in the advent of a large-scale 3.…”

Section: Softwarementioning

confidence: 99%

Supply chain infrastructure restoration calculator software tool—Developer guide and user manual

Ojha¹,

Bhanu²,

Long³

et al. 2019

Open-File Report

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Section: Softwarementioning

confidence: 99%

Supply chain infrastructure restoration calculator software tool—Developer guide and user manual

Ojha¹,

Bhanu²,

Long³

et al. 2019

Open-File Report

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“…The tool will utilize the model‐based systems engineering (MBSE) approach because of the diversity and fluctuation involved in the design process. This work was first approached in a exploratory paper and appeared to be a suitable approach [Nottage and Corns, ]. “Model‐based systems engineering is the formalized application of modeling to supports system requirements, design, analysis, verification and validation activities” through the life‐cycle of a system [Crisp, 2007].…”

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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