An Industrial Trial of a Set-Based Approach to Collaborative Design

Madhavan, Kaarthic; Shahan, David; Seepersad, Carolyn Conner; Hlavinka, Danny A.; Benson, Walt

doi:10.1115/detc2008-49953

Cited by 18 publications

(16 citation statements)

References 37 publications

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“…Furthermore, he notes that by "knowing the limits of their technology," the said company could "have an appropriate set of solutions ready for future offers." Similar results were found in Madhavan et al's study of applying SBD principles to Schlumberger, where "archiving design knowledge in the form of sets of solutions…can be used in future design activities" [44].…”

Section: Emphasis On Documenting Lessons Learned/knowledgesupporting

confidence: 78%

Set-Based Thinking in the Engineering Design Community and Beyond

Ghosh

Seering

2014

Volume 7: 2nd Biennial International Conference on Dynamics for Design; 26th International Conference on Design Theory and Meth

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Since a series of academic case studies had revealed Toyota’s unique product development practices to the world, a flurry of research has been conducted into set-based design, also known as set-based concurrent engineering. In this paper, we review work related to set-based design across academic communities in efforts to find common themes and influences. After a review of this literature, we inductively arrive at two Principles of Set-Based Thinking: considering sets of distinct alternatives concurrently and delaying convergent decision making. These Principles allow us to articulate a working description of set-based design. We then examine these two Principles at work in a case example of a common theoretical construct in design.

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Section: Emphasis On Documenting Lessons Learned/knowledgesupporting

confidence: 78%

Set-Based Thinking in the Engineering Design Community and Beyond

Ghosh

Seering

2014

Volume 7: 2nd Biennial International Conference on Dynamics for Design; 26th International Conference on Design Theory and Meth

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“…While there are great qualitative examples from Toyota the creator of SBD, Schlumberger, U.S. Navy, and others, SBD lacks a rigorous mathematical, quantitative formalization. Emergence of computational, combinatorial design generation and evaluation tools and methods continue, but there are limitations in their use and application as they mainly focus on “point solutions” even with pareto multicriteria design .…”

Section: Literature Review and Insightsmentioning

confidence: 99%

Product development resilience through set‐based design

Rapp

Chinnam

Doerry

et al. 2018

Systems Engineering

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Often during a system Product Development program, external factors or requirements change, forcing system design change. This uncertainty adversely affects program outcome, often adding to development time and cost, production cost, and can compromise system performance. We present a development approach that minimizes the impacts, by proactively considering the possibility of changes in the external factors and the implications of mid‐course design changes. The approach considers the set of alternative designs and the burdens of a mid‐course change from one design to another in determining the relative value of a specific design through the set‐based design methodology. The approach considers and plans parallel (redundant) development of alternative designs with progressive selection of options, including time‐versus‐cost tradeoffs and the impact change‐costs. The approach includes a framework of the development process addressing design and integration lead‐times, their relationship to the time‐order of design decisions, and the time‐dependent burden of design changes. We also compare set‐based and single point design schemes.

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“…Here, the fundamental idea is to delay restricting the design space until as late as possible. Recent work by Madhavan et al [35] has shown that in an industrial setting, set-based design approaches reduce the number of iterations between design teams and provide a library of back-up design options. In a similar light, the skewboid method [36] could encourage more design options to be maintained by relaxing the filtering that occurs during dominance checking.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Effectiveness of Using Graveyard Data When Generating Design Alternatives

Foster¹,

Ferguson

2013

Journal of Computing and Information Science in Engineering

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The objective of this paper is to demonstrate that unique alternative designs can be efficiently found by searching the discarded data (or graveyard) from a multiobjective genetic algorithm (MOGA). Motivation for using graveyard data to generate design alternatives arises from the computational cost associated with real-time design space exploration of multiobjective optimization problems. The effectiveness of this approach is explored by comparing (1) the uniqueness of alternatives found using graveyard data and those generated using an optimization-based search, and (2) how alternative generation near the Pareto frontier is impacted. Two multiobjective case study problems are introduced-a two bar truss and an I-beam design optimization. Results from these studies indicate that using graveyard data allows for the discovery of alternative designs that are at least 70% as unique as alternatives found using an optimization-based alternative identification approach, while saving a significant number of functional evaluations. Additionally, graveyard data are shown to be better suited for alternative generation near the Pareto frontier than standard sampling techniques. Finally, areas of future work are also discussed.

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An Industrial Trial of a Set-Based Approach to Collaborative Design

Cited by 18 publications

References 37 publications

Set-Based Thinking in the Engineering Design Community and Beyond

Set-Based Thinking in the Engineering Design Community and Beyond

Product development resilience through set‐based design

Exploring the Effectiveness of Using Graveyard Data When Generating Design Alternatives

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