Capability and Development Time Trade-off Analysis in Systems-of-Systems

Mane, Muharrem; DeLaurentis, Daniel A.

doi:10.21236/ada543559

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…Komoroski et al (2006) applied a variant of real options analysis to identify long-term SoS acquisition strategies for information technology. The Computational Exploratory Model by Mane and DeLaurentis (2011) was developed to assess development networks of SoS architectures. Initial efforts to inform the acquisition and integration of systems in a SoS through MPT were also made by Davendralingam, Mane, and DeLaurentis (2012).…”

Section: Motivationmentioning

confidence: 99%

A Method for Exploring Program and Portfolio Affordability Tradeoffs Under Uncertainty Using Epoch-Era Analysis: A Case Application to Carrier Strike Group Design

Vascik¹,

Ross²,

Rhodes³

2015

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The modern warfighter operates in an environment that has dramatically evolved in sophistication and interconnectedness over the past half century. With each passing year, the infusion of ever more complex technologies and integrated systems places increasing burdens on acquisition officers to make decisions regarding potential programs with respect to the joint capability portfolio. Furthermore, significant cost overruns in recent acquisition programs reveal that, despite efforts since 2010 to ensure the affordability of systems, additional work is needed to develop enhanced approaches and methods. This paper discusses research that builds on prior work that explored system design tradespaces for affordability under uncertainty, extending it to the program and portfolio level. Time-varying exogenous factors, such as resource availability, stakeholder needs, or production delays, may influence the potential for value contribution by constituent systems over the lifecycle of a portfolio, and make an initially attractive design less attractive over time. This paper introduces a method to conduct portfolio design for affordability by augmenting Epoch-Era Analysis with aspects of Modern Portfolio Theory. The method is demonstrated through the design of a carrier strike group portfolio involving the integration of multiple legacy systems with the acquisition of new vessels.

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Section: Motivationmentioning

confidence: 99%

A Method for Exploring Program and Portfolio Affordability Tradeoffs Under Uncertainty Using Epoch-Era Analysis: A Case Application to Carrier Strike Group Design

Vascik¹,

Ross²,

Rhodes³

2015

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“…Additional studies into the correlation of specific interdependency metrics with program outcomes would serve to further establish the validity of the model. Such studies have already been done with interdependency measurement factors such as N e and S(i,j) (Flowe, et al, 2010, Mane & DeLaurentis, 2011, and has helped to establish the importance of program interdependency measurement. Specific study into the correlation between average program interdependency levels, maximum interdependency levels, the number of program interdependencies, and program outcomes may help program managers to make the best use of program interdependency metrics derived from the MCIMM model.…”

Section: Recommendations For Future Researchmentioning

confidence: 99%

A Method for Measuring Programmatic Dependency and Interdependency Between DoD Acquisition Programs

Christensen

Wirthlin

2012

Volume 5: 6th International Conference on Micro- And Nanosystems; 17th Design for Manufacturing and the Life Cycle Conference

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Large and complex enterprises that are primarily involved in product development and design often must manage their development portfolios against a backdrop of competing demands and realities. Given an existing product development process, there is currently no accepted method for quantitative measurement of development program interdependency. While some methods exist for measuring dependency or interdependency at the component or system level, these methods do not translate well to program interdependency measurement. This paper presents a model for measuring development program interdependency accurately and quantitatively. The model uses four Interdependency Factors to identify dependency relationships between programs. Specific Interdependency Levels are then used to measure the strengths of those dependencies. The model also accounts for measurement of dependencies upon programs that are not directly connected, i.e., programs that have a degree of separation from another program, and measurement of program criticality, or the extent to which a program is depended-upon by another program. In this paper, a small portion of the US Air Force’s product development portfolio is examined and used to demonstrate these measures. The measurement model is applied to an example development program to measure program dependency characteristics. The results demonstrate that the model can be effectively used to identify and measure program dependencies. The model gives the program manager a quantitative tool to determine how much a program depends upon other programs and the potential impacts of those dependencies. With this information, program managers can better protect their programs from vulnerabilities associated with interdependency effects from other programs and portfolio managers are given new insights into the management of their portfolio in the product development processes of the enterprise.

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Capability and Development Time Trade-off Analysis in Systems-of-Systems

Cited by 2 publications

References 10 publications

A Method for Exploring Program and Portfolio Affordability Tradeoffs Under Uncertainty Using Epoch-Era Analysis: A Case Application to Carrier Strike Group Design

A Method for Exploring Program and Portfolio Affordability Tradeoffs Under Uncertainty Using Epoch-Era Analysis: A Case Application to Carrier Strike Group Design

A Method for Measuring Programmatic Dependency and Interdependency Between DoD Acquisition Programs

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