Preference Modeling for Government-Owned Large-Scale Complex Engineered Systems: A Satellite Case Study

Kannan, Hanumanthrao; Shihab, Syed Arbab Mohd; Zellner, Maximilian; Salimi, Ehsan; Abbas, Ali E.; Bloebaum, Christina

doi:10.1007/978-3-319-62217-0_36

Cited by 5 publications

(6 citation statements)

References 12 publications

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“…The detailed description of the inherent couplings, and the physical parameters utilized in this model, can be found in Kannan et al. 10–13 .…”

Section: Methodsmentioning

confidence: 99%

“…In SE, the inherent couplings are represented using a design structure matrix (DSM). The detailed description of the inherent couplings, and the physical parameters utilized in this model, can be found in Kannan et al [10][11][12][13] .…”

Section: Satellite System Modelmentioning

confidence: 99%

“…The physics-based satellite model, adopted from Kannan et al [10][11][12][13] , has many design parameters. In this work, nine physical parameters from the satellite model are considered.…”

Section: Satellite System Modelmentioning

confidence: 99%

“…Recent reports from the government accountability office (GAO) claim that the acquisitions of major projects have demonstrated prolonged cost and schedule overruns 4–8 . Multiple workshops by agencies, such as DARPA, NSF, and NASA, identified the need for systems engineering (SE) frameworks to address the cost overruns in large‐scale complex programs 2,9–13 .…”

Section: Introductionmentioning

confidence: 99%

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Identifying key parameters impacting cost in large‐scale complex space programs using simulation‐based global sensitivity analysis

Basha

Leifsson

Bloebaum

2023

Systems Engineering

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Cost overruns averaging 45%–50% can occur during the acquisition process of large‐scale complex space programs. The factors that impact the cost overrun are frequently misunderstood and are not identified correctly. This paper investigates the impact of the parameters on the overall cost of a geosynchronous communication satellite program using model‐based global sensitivity analysis. A simulation model with the acquisition data was used to identify the key parameters within the system model that interact with the cost of the program. A system simulation model containing a physics‐based satellite model and a parametric cost model is utilized to conduct variance‐based sensitivity analysis. Data from selected acquisition reports are used to validate the system simulation model. Sobol' analysis is performed on the parameters associated with requirements of the satellite system, operations, and support to maintain the system, including the launch system and ground equipment. The results show that parameters related to the system‐based requirements significantly impact the program cost. These critical parameters, which influence the cost, lay the foundation to quantify the impact of system parameters and their uncertainty on the cost of the system using a simulation‐based model which will aid in the reduction of cost overruns during the design and development of future large‐scale complex engineered systems.

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“…The detailed description of the inherent couplings, and the physical parameters utilized in this model, can be found in Kannan et al. 10–13 .…”

Section: Methodsmentioning

confidence: 99%

Section: Satellite System Modelmentioning

confidence: 99%

“…The physics-based satellite model, adopted from Kannan et al [10][11][12][13] , has many design parameters. In this work, nine physical parameters from the satellite model are considered.…”

Section: Satellite System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Identifying key parameters impacting cost in large‐scale complex space programs using simulation‐based global sensitivity analysis

Basha

Leifsson

Bloebaum

2023

Systems Engineering

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“…In order to facilitate system design, one needs to map the decisions to system attributes, and then to value [49]. Considering the complexity involved in the development of large-scale complex engineered systems and based on the experience of the authors with creating value functions for a wide range of test cases [16,[49][50][51][52][53][54][55][56][57], we believe that creating a mathematical value function that can capture all the attributes and their interactions is an extremely challenging and time-consuming task. Although researchers in Decision Analysis have provided some guidelines [8,48,58] on formulating preference functions, there is still a lack of a mathematically rigorous method that can facilitate formulation.…”

Section: Introductionmentioning

confidence: 99%

Theoretical Foundations for Preference Representation in Systems Engineering

Kannan

Bhatia

Mesmer

et al. 2019

Systems

Self Cite

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The realization of large-scale complex engineered systems is contingent upon satisfaction of the preferences of the stakeholder. With numerous decisions being involved in all the aspects of the system lifecycle, from conception to disposal, it is critical to have an explicit and rigorous representation of stakeholder preferences to be communicated to key personnel in the organizational hierarchy. Past work on stakeholder preference representation and communication in systems engineering has been primarily requirement-driven. More recent value-based approaches still do not offer a rigorous framework on how to represent stakeholder preferences but assume that an overarching value function that can precisely capture stakeholder preferences exists. This article provides a formalism based on modal preference logic to aid in rigorous representation and communication of stakeholder preferences. Formal definitions for the different types of stakeholder preferences encountered in a systems engineering context are provided in addition to multiple theorems that improve the understanding of the relationship between stakeholder preferences and the solution space.

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Optimizing Satellite Mission Requirements to Measure Total Suspended Solids in Rivers

Stroud,

Allen,

Simard

et al. 2024

IEEE Trans. Geosci. Remote Sensing

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Human modification of the landscape affects total suspended solids (TSS) concentrations in water. The quantitative extent of these changes remains poorly understood, partly because of the challenges associated with observing TSS dynamics in inland waters over large scales. While many current missions and sensors provide usable data to estimate inland water quality (e.g. Landsat series, VIIRS, Sentinel-2), future missions present the opportunity to increase transferability and accuracy of TSS estimation. Here we degrade assumed ideal spectral data to evaluate the optimal data quality for TSS retrieval using an optical sensor configuration. We also perform wavelet analysis and a river size distribution analysis to study temporal and spatial data quantity requirements, respectively. We find that while the highest resolution data always gives the best retrieval accuracy, some factors are more essential in TSS estimation than others and can simplify mission design. Specifically, fine hyperspectral resolution is key in improving retrieval accuracy and a finer spatial resolution allows exponentially more river surface area to be observed. A revisit period of approximately 5 days or less best captures TSS pulse events, such as floods. Understanding the optimal mission specifications for observing inland water quality, especially TSS, will assist in developing and proposing future optical satellite missions.

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Preference Modeling for Government-Owned Large-Scale Complex Engineered Systems: A Satellite Case Study

Cited by 5 publications

References 12 publications

Identifying key parameters impacting cost in large‐scale complex space programs using simulation‐based global sensitivity analysis

Identifying key parameters impacting cost in large‐scale complex space programs using simulation‐based global sensitivity analysis

Theoretical Foundations for Preference Representation in Systems Engineering

Optimizing Satellite Mission Requirements to Measure Total Suspended Solids in Rivers

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