Survey on set‐based design (SBD) quantitative methods

Dullen, Shawn; Verma, Dinesh; Blackburn, Mark; Whitcomb, Clifford A.

doi:10.1002/sys.21580

Cited by 10 publications

(4 citation statements)

References 169 publications

(411 reference statements)

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“…It concludes that few complete examples of SBD exist regarding large complex systems like naval vessels. Dullen et al (2021) also provide a review of relevant research, especially relevant to quantitative methods within an SBD construct. Shallcross et al (2020) assess the state-of-the-practice of SBD.…”

Section: Set-based Design and Its Tenetsmentioning

confidence: 99%

New Conventions: Intentional Implementation of Set-Based Design Leveraging Limited Point-Based Approaches

Page,

Seering,

Higgins

et al. 2024

IMDC

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This article communicates a practical application of Set-Based Design (SBD) during its adoption within the U.S. Navy’s latest surface ship design processes. It highlights how the team harnessed SBD to explore the vast design space and make critical decisions. Intriguingly, the article explores the design team’s use of point-based designs(PBD), a counterintuitive approach within the context of SBD. It delves into the rationale behind their implementation and the diverse purposes they serve in bridging knowledge gaps such as prototyping, integration, and evaluation of set interfaces. Furthermore, the article presents a preliminary ontology outlining various use cases for these PBDs. A key focus of this article is understanding how these PBDs coexist within the larger set-based construct while recognizing their inherent differences. The article examines the utility and boundaries of this approach, shedding light on the pragmatic interplay.

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Section: Set-based Design and Its Tenetsmentioning

confidence: 99%

New Conventions: Intentional Implementation of Set-Based Design Leveraging Limited Point-Based Approaches

Page,

Seering,

Higgins

et al. 2024

IMDC

View full text Add to dashboard Cite

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“…The solution with a minimum quantification number is considered a weak solution and eliminated. It can be further described by using the expression given in Equation (1).…”

Section: Narrow Down the Alternative Solutionsmentioning

confidence: 99%

“…Also, it has become important to consider the factor of flexibility in the existing capability of the developed business. Companies are striving for strategies to deliver more innovative products with a shorter time to market and to control and reduce product costs 1 . One way to overcome this limitation is to foster the number of design sets concurrently 2 …”

Section: Introductionmentioning

confidence: 99%

Application of set‐based concurrent engineering methodology to the development of cost modeling system for metal casting process

Sajid

Wasim

Hussain

et al. 2022

Systems Engineering

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In recent years, the reliable, accurate, and timely estimate of product cost at the conceptual design stage can enhance the competitiveness of a casting part. Set‐based concurrent engineering has emerged as an efficient solution to overcome this limitation as it provides simultaneous design procedures to positively assist the designer in achieving the required customer values in a short time and low cost. Therefore, this study attempts to integrate the set‐based concurrent engineering methodology into the development of a cost modeling system for the metal casting process. The system architecture is comprised of a user interface, knowledge database, and CAD modeling system. A detailed working flow process of the developed cost modeling system has been proposed under the guidelines of set‐based concurrent engineering. Further, the proposed methodology is demonstrated and validated by employing a real‐time casting part that was manufactured using the sand casting process. The implementation of the system provided many tangible benefits to the collaborative company including a decrease in cost estimation time (∼50%) and part rejection rate (∼32.3%). Further, the developed cost modeling approach provided a cost estimate near the actual cost of the product (∼4% deviation). It truly proves the significance of the developed system for the practitioners who believe that accurate and timely estimates of product manufacturing cost at the design stage can enhance the competitiveness of a product.

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“…A different type of strategy revolves around not trying to find one particular design, but instead finding an appropriate group of designs; this is called set-based design (Al-Ashaab et al, 2009;Sobek et al, 1999). Comprehensive studies on the current state and development of set-based design strategies have been performed (Shallcross et al, 2020;Dullen et al, 2021), showing the growing interest in the topic. These approaches hold the advantage that they are able to give more freedom to the design teams while allowing them to work concurrently.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Requirements for Maximum Design Freedom Considering Physical Feasibility

Noce

Zimmermann

2023

Proc. Des. Soc.

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Solution spaces are sets of designs that meet all quantitative requirements of a given design problem, aiding requirement management. In previous works, ways of calculating subsets of the complete solution space as hyper-boxes, corresponding to a collection of permissible intervals for design variables, were developed. These intervals can be used to formulate independent component requirements with built-in tolerance. However, these works did not take physical feasibility into account, which has two disadvantages: first, solution spaces may be useless, when the included designs cannot be realized. Second, bad designs that are not physically feasible unnecessarily restrict the design space that can be used for requirement formulation.In this paper, we present the new concept of a requirement space that is defined as the largest set of designs that (1) allows for decomposition (e.g., into intervals when it is box-shaped), (2) maximizes the useful design space (good and physically feasible), and (3) excludes the non-acceptable design space (bad and physically feasible). A small example from robot design illustrates that requirement spaces can be significantly larger than solution spaces and thus improve requirement decomposition.

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Survey on set‐based design (SBD) quantitative methods

Cited by 10 publications

References 169 publications

New Conventions: Intentional Implementation of Set-Based Design Leveraging Limited Point-Based Approaches

New Conventions: Intentional Implementation of Set-Based Design Leveraging Limited Point-Based Approaches

Application of set‐based concurrent engineering methodology to the development of cost modeling system for metal casting process

Optimizing Requirements for Maximum Design Freedom Considering Physical Feasibility

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