Selection Without Reflection is a Risky Buisness ...

Roman, Felipe; Rolander, N.; Morales, Felipe Andrés de la Calle; Fernández, Marco Gero; Bras, Bert; Allen, Janet K.; Mistree, Farrokh; Chastang, Pierre; Dépincé, Philippe; Bennis, Fouad

doi:10.2514/6.2004-4429

Cited by 12 publications

(8 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, we assert that validation is not complete without considering the subjective or practical aspects of a method (see, e.g., [22]) and that effective use of a method is contingent upon a fundamental understanding of underlying assumptions and inherent limitations that is often missing. Hence, we advocate a careful reflection (with regard to the problem at hand, the underlying assumptions/limitations of the attention-directing tool or method considered, and interpretation of results) before implementing any selection method or tool (c.f., [2]). …”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Decision Support in Concurrent Engineering – The Utility-Based Selection Decision Support Problem

Fernández

Seepersad²,

Rosen

et al. 2005

Concurrent Engineering

Self Cite

View full text Add to dashboard Cite

Decisions are an important part of Concurrent Engineering and engineering design in general. Accordingly, more attention should be paid to the means and methods for making these decisions. In this article, a utility-based decision support method for the selection of an engineering design is presented. The utility-based selection decision support problem (u-sDSP) is a synthesized construct that facilitates selection decisions involving trade-offs among multiple, conflicting attributes and mitigation of risk associated with uncertain performance with respect to the attributes considered. The negative impact of unnecessary iterations on the product development cycle is reduced via the assurance of preference-consistent outcomes. Specifically, utility theory provides a mathematically rigorous means of clarifying and capturing designer preferences as well as identifying a preferred alternative in the context of stochastic uncertainty, while the selection decision support problem (DSP) -the construct within which utility theory is employed -facilitates the effective use of engineering judgment for (1) formulating and bounding decisions and (2) establishing a proper context. Application of the u-sDSP is illustrated with an example from rapid prototyping (RP), in which the goal is to select the appropriate technology and material combinations for testing the snap-fit design of a light switch cover plate assembly.

show abstract

Section: Resultsmentioning

confidence: 99%

“…Consequently, it is more appropriate to refer to these MCDM approaches as attention-directing tools that should be treated with caution. Awareness of this fact is crucial because practitioners consistently rely on these attention-directing tools and are likely to continue using them [2].…”

Section: Introductionmentioning

confidence: 99%

Decision Support in Concurrent Engineering – The Utility-Based Selection Decision Support Problem

Fernández

Seepersad²,

Rosen

et al. 2005

Concurrent Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…A decision support framework for the design of flexible engineering systems was presented by Olewnik and Lewis. 26 Romans et al 17 reviewed the literature on MCDM method selection and concluded that searching for the best MCDM method is a flawed concept because of the uniqueness of every problem with regard to the available information. Different approaches in developing method selection techniques were presented by Mota et al 27 Ozernoy 28 developed a framework for choosing the most appropriate discrete MCDM method in decision support system and expert system.…”

Section: Technique Selectionmentioning

confidence: 99%

“…This ''fuzzy region of satisfactory alternatives'' can be obtained by defining a fuzzy interval of feasible and acceptable values for each criterion. 18 The following criteria from the literature, 17,22,25 shall be used as criteria for the selection of the appropriate evaluation technique for BWMMs: C 1 Ease of use (familiarity with technique); C 2 Wide applicability in the literature; C 3 Technical compliance of the proposed model with the problem nature; C 4 Closeness of previous methodologies for similar cases in academic literature; C 5 Affordability (additional cost for software requirements).…”

Section: Determination Of Technique Selection Criteriamentioning

confidence: 99%

Technique selection and evaluation of ballast water management methods under an intuitionistic fuzzy environment: An information axiom approach

Kuroshi

Ölçer

2016

Proceedings of the Institution of Mechanical Engineers, Part M:

View full text Add to dashboard Cite

A recent survey showed the reluctance of shipowners to install ballast water treatment systems onboard their ships. This raised a question on the acceptability of shipboard management of ballast water and the need to investigate the potential of non-shipboard alternatives to managing the menace of invasive species transfer via ships' ballast water. The aim of this article is to investigate the viability of both shipboard and onshore-based concepts of ballast water management with respect to the evaluation criteria stipulated in the Ballast Water Management Convention of the International Maritime Organization. To achieve that, an appropriate decision-making technique was selected using a robust procedure; this is critical in the evaluation and ultimate selection of an appropriate ballast water management method. A multi-criteria decision-making technique known as intuitionistic fuzzy multi-attribute axiomatic design which is a hybridized extension of fuzzy axiomatic design was employed for the selection process. The eventual selected technique was used to evaluate the ballast water management options based on the linguistic data collected from an interview with ballast water management experts. The novel applications of intuitionistic fuzzy multi-attribute axiomatic design in this article for technique selection and subsequently for ballast water management methods' evaluation exemplify not only the versatility of the technique as a decision-making tool but also showed a strong paradigm shift in experts' opinions about the future of ballast water management beyond just the traditional shipboard system.

show abstract

“…In general, these techniques apply some function that combines performance objective values and corresponding objective weights into a single aggregate metric, effectively reducing the problem to a ranking of solutions according to this weighted aggregate. Although the literature offers much diversity in multiattribute decision-making techniques (e.g., [28]), it also cautions to recognize and understand the inherent assumptions, limitations, and shortcomings of each (e.g., [29]). …”

Section: Formulation Of Technology Portfolio Problemmentioning

confidence: 99%

Pareto-Optimal Aircraft Technology Study for Environmental Benefits with Multi-Objective Optimization

Jiménez

Mavris

2017

Journal of Aircraft

View full text Add to dashboard Cite

The composition of an aircraft technology portfolio in response to environmental impact goals is of paramount importance for present and future aeronautics. Characteristics of the portfolio selection problem are ideally addressed via multi-objective genetic algorithm optimization. Methodological and practical considerations of this approach are examined while generating meaningful insight specific to a set of aircraft technologies expected to mature over the coming decade. Results allow for a detailed characterization of the set of Pareto-optimal technology combinations in terms of its corners, underlying performance tradeoffs, and salient topological features. High-impact technologies are resolved in terms of their pervasiveness across solutions in regions of interest. Because relativevalued environmental objectives can be exploited by the optimizer, the analysis is repeated with absolute-valued analogs to examine how the choice of objectives in this respect can affect the selection of technologies. The effect of resource costs associated with each technology, additively compounded for technology combination solutions, is also examined in this context by expanding the method to include a resource constraint. Accordingly, general features of the Pareto frontier in the objective space are characterized for varying degrees of resource constraint stringency.

show abstract

Selection Without Reflection is a Risky Buisness ...

Cited by 12 publications

References 10 publications

Decision Support in Concurrent Engineering – The Utility-Based Selection Decision Support Problem

Decision Support in Concurrent Engineering – The Utility-Based Selection Decision Support Problem

Technique selection and evaluation of ballast water management methods under an intuitionistic fuzzy environment: An information axiom approach

Pareto-Optimal Aircraft Technology Study for Environmental Benefits with Multi-Objective Optimization

Contact Info

Product

Resources

About