2015
DOI: 10.1016/j.procs.2015.03.029
|View full text |Cite
|
Sign up to set email alerts
|

Considerations for an Extended Framework for Interactive Epoch-Era Analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
7
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 12 publications
(7 citation statements)
references
References 14 publications
0
7
0
Order By: Relevance
“…Tradespace Exploration (TSE) [24] is good at predictively modeling cost and performance of candidate systems at a specific point in time under a specific set of assumptions or context variables. It, however, offers no direct means to evaluate the system under examination across time, other than making abstract assumptions about future world conditions set through the means of exogenous context parameters and re-computing a utility function (when this is done, it is called Epoch-Era analysis [25]). Thus, it specifically natively lacks the ability to predictively model changes over time.…”
Section: Development Of the Methodologymentioning
confidence: 99%
“…Tradespace Exploration (TSE) [24] is good at predictively modeling cost and performance of candidate systems at a specific point in time under a specific set of assumptions or context variables. It, however, offers no direct means to evaluate the system under examination across time, other than making abstract assumptions about future world conditions set through the means of exogenous context parameters and re-computing a utility function (when this is done, it is called Epoch-Era analysis [25]). Thus, it specifically natively lacks the ability to predictively model changes over time.…”
Section: Development Of the Methodologymentioning
confidence: 99%
“…Different techniques have been applied across research domains to address perceptual complexity. For example, Bertoni et al (2013) used color-coded CAD models to enhance the awareness of stakeholders concerning a particular component of PSS, Curry & Ross (2015) used interactive tradespaces for visualizing complex simulation data and assisting design decision-making, He et al (2020) used parallel coordinates plots for mapping Pareto-optimal solutions and choosing a compromised solution, Toller et al (2022) used network graphs for understanding the complexities associated with linking value and data to bring consensus amongst the stakeholders regarding the importance of operational data, and so forth. Idrissov, Škec & Maier (2020) listed several such techniques and related them to the addressed feature of a system.…”
Section: Perceptual Complexitymentioning
confidence: 99%
“…On the other hand, Aziz et al (2016) considered changeable modules as a crucial part of the PSS lifecycle that enables superior customer satisfaction and longer operational life, reflecting active value robustness. However, the critical challenge in resolving temporal complexity is to involve many relevant external factors across the operational phase, understand contextual drifts and extract actionable information to support design decisions (Curry & Ross 2015; Bertoni & Bertoni 2019).…”
Section: Findings: Complexity Aspects In Design Decision-makingmentioning
confidence: 99%
“…Furthermore, it also facilitates understanding underlying conflicting objectives during requirement elicitation and conceptual design [Salado and Nilchiani, 2015] and can support the planning of technology portfolios [Davison, Cameron, and Crawley, 2015]. In addition, the capabilities of tradespace exploration are being steadily evolved to incorporate for example uncertainty in the determination of the Pareto front [Mattson and Messac, 2005], change over time in the tradespace configuration and location of the Pareto front Lewis and Mattson, 2012;Curry and Ross, 2015], value robustness [Ross, Rhodes, and Hastings, 2009], or framing and visualization effects for facilitating negotiation [Fitzgerald and Ross, 2014].…”
Section: Tradespace Exploration and Pareto Frontiersmentioning
confidence: 99%