What Is Set‐Based Design?

Singer, David; Doerry, Norbert; Buckley, Michael E.

doi:10.1111/j.1559-3584.2009.00226.x

Cited by 132 publications

(87 citation statements)

References 10 publications

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“…Thus, the design process is problem-dependent with complex design requiring strategies that depend on the problem structure, designer experience and understanding the problem context (Joseph 1996). Also, this more realistic emphasis on requirements elucidation can then seen to be consistent with the approach of deferred commitment or set-based design, based on Toyota's Product Development System and recently introduced into US Navy ship procurement (Singer et al 2009). …”

Section: Physically Large and Complex Systemsmentioning

confidence: 95%

Art and science in the design of physically large and complex systems

Andrews

2011

Proc. R. Soc. A.

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Designs of physically large and complex (PL&C) systems, nowadays, are achieved through the use of evermore capable digital computer-based techniques. Thus, the process of such designs might be characterized as the practice of science rather than that of an art. The article commences with a consideration of art and science in design. It then addresses the particular nature of the design of such systems and how this is not just an issue of complexity, but also a consequence of large physical size. How computer-aided design is applied early in the designing of such systems, the crucial aspect of the choice of style by the initial designer and the advent of computer-based simulation techniques, applied early in design, are all considered pertinent to the role of art and science in design. A series of high-level fundamental issues are discussed in the belief that they are changing the nature of the design of PL&C systems and ought to be considered by practitioners of such designs. In this way, the power of computer-based techniques, both numerical and graphical, can then enhance the scope of design innovation, given designers' increasing dependency on digitally based practice.Keywords: design of physically large and complex systems; art and science; design building block approach

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Section: Physically Large and Complex Systemsmentioning

confidence: 95%

Art and science in the design of physically large and complex systems

Andrews

2011

Proc. R. Soc. A.

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“…Tradespace exploration is an approach for efficiently exploring the design space [27], [28] attempting to settle for an optimum design. Tradespaces present every design alternative in terms of utility versus cost.…”

Section: F Tradespace Exploration and Evaluationmentioning

confidence: 99%

Handling commercial, operational and technical uncertainty in early stage offshore ship design

Agis

Pettersen

Rehn

et al. 2016

2016 11th System of Systems Engineering Conference (SoSE)

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Abstract-In this paper, we assess state-of-the-art methods for handling aspects of technical, commercial and operational uncertainty in the early stages of offshore ship design. Uncertainty affects the lifecycle performance of a ship in a complex manner, which is difficult to assess in the early design process. We approach this problem by decomposing uncertainty into technical, commercial and operational aspects, and investigate how it can be identified, modelled and handled. Methods discussed include design structure matrix, tradespace exploration and evaluation methods, real options theory, stochastic optimization, and system dynamics. Strategies for handling uncertainty discussed include margins, and specific system lifecycle properties "-ilities". We argue that a decomposition of uncertainty facilitates the use of current methods and approaches for decision-making in early stage ship design.

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“…To facilitate this approach, set-based design (SBD) method should be employed to evaluate the entire design space to generate a set of optimal design alternatives, which represent the best tradeoffs of these two criteria [1]. To this end, metrics of these two criteria have to be co-optimized with respect to design variables.…”

Section: Introductionmentioning

confidence: 99%

Accounting for system-level controls during early-stage design

Zhang

Dougal

Zhang

2013

2013 IEEE Electric Ship Technologies Symposium (ESTS)

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Designers of shipboard power systems must consider many tradeoffs when selecting generators in the early-stage setbased design. This is not just an "equipment problem" based on physical design requirements such as limits of size and weight. The operating strategy for generators must be considered when evaluating the goodness of the design. To this end, this paper develops a design approach to impose system-level controls onto generating plants to evaluate their optimality. Two critical design metrics-fuel consumption and quality of service (QOS) are defined to incorporate these control variables, and cooptimized to reflect mission-oriented system performance. The minimum fuel consumption is computed based on a new concept of economic dispatch algorithm, which takes active and reactive power balance, and system redundancy requirements into account. QOS metric is defined to reflect system-level control strategies based on the classical concept of mean-time-betweenfailure, which is defined to depend inversely on the power produced. We develop a multi-objective particle swarm optimization to effectively locate the Pareto fronts of system performance for all design alternatives over a whole given mission. Thus a set of optimal design alternatives can be rapidly selected to represent the non-dominated optimal compromises of the two metrics. This design approach is demonstrated and compared with a single-objective design approach in a design example of shipboard generating plant design. And more optimal alternatives are able to be found.I.

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What Is Set‐Based Design?

Cited by 132 publications

References 10 publications

Art and science in the design of physically large and complex systems

Art and science in the design of physically large and complex systems

Handling commercial, operational and technical uncertainty in early stage offshore ship design

Accounting for system-level controls during early-stage design

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