Design decision chains as a basis for design analysis

Barton, Jeffrey A.; Love, Doug

doi:10.1080/095448200750021030

Cited by 20 publications

(5 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The principles of how to model and solve an individual, isolated decision are relatively well understood. However, most design problems are too complex for designers to solve directly as a single decision problem and, instead, designers simplify the search for a satisfactory design by decomposing the problem into a series of related decisions [10][11][12]. One consequence of this is that the alternatives in a decision often correspond to sets of design implementations.…”

Section: Decision Alternatives As Sets Of Designsmentioning

confidence: 99%

Using Parameterized Pareto Sets to Model Design Concepts

Malak

Paredis

2010

Journal of Mechanical Design

View full text Add to dashboard Cite

The decisions designers make during conceptual design can have a large impact on the success of a project. Conceptual design decisions can be challenging because the imprecise nature of design concepts make them difficult to model. Prior literature exists on using Pareto sets to model design concepts abstractly in the space of decision attributes. However, this approach has limitations when the concept under consideration is a component of a larger system. The need to relate component-level decision attributes to system-level decision objectives can lead to a violation of the assumptions underlying classical Pareto dominance. The main contribution of this article is a new dominance criterion, called parameterized Pareto dominance, which is applicable in such situations. It is a generalization of the classical dominance rule and is found to be sound from a decision-theoretic perspective. A secondary contribution is the articulation of a generalized methodology for constructing concept models based on classical or parameterized Pareto sets using either observational or model-generated data. The modeling procedure, including the new dominance criterion, is demonstrated on observational data about hydraulic cylinders. The question of whether a parameterized Pareto set can be an adequate representation of a component-level design concept is evaluated on a gearbox conceptual design problem for which the component-level decision is subordinate to system-level vehicle design problem.

show abstract

Section: Decision Alternatives As Sets Of Designsmentioning

confidence: 99%

Using Parameterized Pareto Sets to Model Design Concepts

Malak

Paredis

2010

Journal of Mechanical Design

View full text Add to dashboard Cite

show abstract

“…There is growing recognition that, fundamentally, engineering design activities are part of an overall business enterprise, and that designers must make decisions in this context [44][45][46][47]. Some authors even advocate a decision approach based on explicit modeling and simulation of enterprise activities [48,49]. However, we are skeptical about whether the gains of this would outweigh the costs associated with such a modeling effort.…”

Section: Predictive Modelingmentioning

confidence: 99%

Modeling Design Concepts under Risk and Uncertainty using Parameterized Efficient Sets

Malak¹,

Paredis²

2008

SAE Int. J. Mater. Manf.

View full text Add to dashboard Cite

Decisions made during conceptual design can have a major impact on the success of a design project. However, the inherently imprecise nature of design is a major source of uncertainty and risk in conceptual design decisions. A single concept relates to a large set of specific design implementations, each of which has a different level of desirability based on the tradeoffs designers are willing to make. It therefore is beneficial for designers to have an understanding of the various tradeoffs they can achieve by implementing a concept. In this paper, we describe an approach to modeling design concepts under uncertainty based on a tradeoff space representation. We use the principles of decision making to develop a useful interpretation of a tradeoff space for decisions under uncertainty and to identify criteria useful for eliminating undesirable tradeoffs from consideration. We illustrate our approach to modeling and decision making on an example for the conceptual design of a gearbox.

show abstract

“…The decision-making framework facilitates the process of deciding whether to take risks, take action to reduce the causes of risks, take action to reduce the consequences of risk or take action to improve the detection of risks. Barton and Love (2000) use the idea of decision chains to argue that product design decisions are part of a chain of decisions that extend to the design and operation of the 'downstream' processes that ultimately manufacture and support the product. The decision process moves from the abstract to the concrete with the solution on one level becoming part of the requirements and constraints on the next level.…”

Section: Decision Supportmentioning

confidence: 99%

Decision process in one-of-a-kind production

Johansen

Rolstadås

2017

Production Planning & Control

View full text Add to dashboard Cite

One-of-a-kind production is project business. In any project, the decision process is of importance for a successful outcome. However, there is a need for a more formal approach to decision making in projects. We have therefore developed a model of the decision process. It uses three types of decisions: selection, authorization, and plan decisions. Enterprise models together with the project life cycle form a platform for developing a decision model. The life cycle enables a decision chain whereas the enterprise models allow decisions at different levels. The horizontal decision chain is linked to physical flow of documents and materials. Vertically, decision making is hierarchically decomposed into levels of different planning horizons and time periods.

show abstract

Design decision chains as a basis for design analysis

Cited by 20 publications

References 13 publications

Using Parameterized Pareto Sets to Model Design Concepts

Using Parameterized Pareto Sets to Model Design Concepts

Modeling Design Concepts under Risk and Uncertainty using Parameterized Efficient Sets

Decision process in one-of-a-kind production

Contact Info

Product

Resources

About