Identifying and Quantifying Critical ilities in the Acquisition of DoD Systems

Enos, James R.; Farr, J.D.; Nilchiani, Roshanak

doi:10.22594/dau.18-799.26.01

Cited by 7 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These ilities as critical attributes of systems that the DoD extended beyond their original, planned service life and have a direct impact on the real system age of an engineered system. Previous work examined several DoD systems, both extended and retired, and identified these attributes as common in systems the DoD extended, but not present in systems the DoD retired on time 1 . Real system age focuses on the percentage change to these systems rather than making an effort to quantify each of these attributes.…”

Section: Methodsmentioning

confidence: 99%

“…Previous work examined several DoD systems, both extended and retired, and identified these attributes as common in systems the DoD extended, but not present in systems the DoD retired on time. 1 Real system age focuses on the percentage change to these systems rather than making an effort to quantify each of these attributes. The percent change method also normalizes each factor to allow for the summation of the three attribute factors.…”

Section: Changeability and Attribute Factorsmentioning

confidence: 99%

“…Work in this area has identified several ilities, or non-functional attributes, that are common in systems that extend beyond their planned life to include extensibility, flexibility, interoperability, and robustness. 1 These attributes serve as the basis for calculating an engineered system's real system age as a function of changes to these attributes and the overall number of engineering changes to a system. 2 With this mathematical representation of real system age, this paper applies the real system age to several DoD systems to include the B-52 bomber, A-10 aircraft, F-117 stealth fighter, and the OH-58D helicopter.…”

Section: Introductionmentioning

confidence: 99%

“…Real systems age seeks to differentiate how system designs truly age in comparison to their chronological age. Work in this area has identified several ilities, or non‐functional attributes, that are common in systems that extend beyond their planned life to include extensibility, flexibility, interoperability, and robustness 1 . These attributes serve as the basis for calculating an engineered system's real system age as a function of changes to these attributes and the overall number of engineering changes to a system 2 .…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Applying real system age to DoD systems

Enos

2022

Systems Engineering

View full text Add to dashboard Cite

Why do some systems exceed their planed lifecycle while others retire at or before their planned retirement date? A possible answer to this question is that systems that exceed their planned lifecycle have several common non‐functional attributes that enable them to continue to provide value to their stakeholders well beyond their planned lifecycle. As this is the case in several Department of Defense systems, it should be possible to develop a mathematical representation of the real system age for these engineered systems to compare that age to their chronological age and determine when to retire a system. This paper expands on previous work to develop a mathematical relationship for real system age by applying it to several DoD systems to include the B‐52 bomber, A‐10 aircraft, F‐117 stealth fighter, and the OH‐58D helicopter. It identifies that the systems the DoD retired have similar traits as their real system age closely follows the chronological age and approaches a 25‐year threshold for retirement. With this equation, it is possible to identify when a system is due for retirement or if an upgrade to the system may be able to extend the useful life of the system.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Changeability and Attribute Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Applying real system age to DoD systems

Enos

2022

Systems Engineering

View full text Add to dashboard Cite

show abstract

“…The shift from the concern for immediate functionality to a wider perspective was one of the first steps to a more holistic evaluation of systems. Several studies attempt to quantify some of the ilities of a system, using social network analysis (Enos et al 2019), or other, disperse methods (Turner et al 2017). However, an all-inclusive system value model is still to be developed.…”

Section: A Systems Engineering Perspectivementioning

confidence: 99%

Cross-disciplinary system value overview towards value-oriented design

Lavi,

Reich

2023

Res Eng Design

View full text Add to dashboard Cite

Systems design methods should aim for systems creating value. The decision-making processes in system engineering struggle to optimize this objective; however, even though the traditional concept of system value as a purely economic metric is recognized as deficient, a well-defined and standard conceptualization of comprehensive system value is still lacking. This study set out to facilitate different stakeholders, involved in developing systems, with a broad perspective on value. We define the system value as the system's holistic impact, encompassing the multi-domain effects on processes, environments, and stakeholders. This inclusive view, to be used by practitioners designing systems and policies, is expected to update existing practices and enhance resulting systems. This paper renders an extensive review of value references in multiple domains, both in system engineering and external, non-engineering, disciplines, and sets the foundation for a revised framing of value in systems engineering. To enable future applications for systems optimization, system value is thoroughly characterized, including its dependency on internal and external factors. This research lays the groundwork for problem formulation of a system value measure, its application in system engineering methods, and further analysis of the subject, both for engineered and non-technical systems.

show abstract