An Approach to Decision-Based Design With Discrete Choice Analysis for Demand Modeling

Wassenaar, Henk Jan; Chen, Wei

doi:10.1115/1.1587156

Cited by 223 publications

(161 citation statements)

References 18 publications

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“…9,30,31 Researchers in the design community [2][3][4]7 have also had success in integrating such models in their work for product design. In this paper, the DCA approach is adopted for demand modeling.…”

Section: Enterprise Product Planning and Engineering Product Devementioning

confidence: 99%

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Target Exploration for Disconnected Feasible Regions in Enterprise-Driven Multilevel Product Design

Kim

Kumar²,

Chen³

et al. 2006

AIAA Journal

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Enterprise-level business decisions are linked with engineering product decisions by integrating enterprise utility optimization and engineering design optimization under a hierarchical, multilevel, decision-based design framework. The enterprise problem sets attribute targets, that is, specifications, for engineering product development, which then optimizes product performance within the feasible design space to match the targets with minimum deviations. When the feasible domain imposed by engineering product development is disconnected in the space of attribute targets, an engineering design with the minimum deviation from the targets may not correspond to the design with the maximum utility value, even though the design is a converged solution from the multilevel optimization. To address this issue, a new algorithm is developed, which systematically explores the target space to lead the engineering product development to a feasible and optimal design in the enterprise context. Analytical examples and an automotive suspension design case study are presented to demonstrate the effectiveness of the proposed methodology.

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Section: Enterprise Product Planning and Engineering Product Devementioning

confidence: 99%

“…Based on this design, the algorithm imposes a limiting constraint [Eq. (4)] to the enterprise problem. After adding the constraint in Fig.…”

Section: Implementation Of Proposed Algorithmmentioning

confidence: 99%

Target Exploration for Disconnected Feasible Regions in Enterprise-Driven Multilevel Product Design

Kim

Kumar²,

Chen³

et al. 2006

AIAA Journal

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“…There has been a number of efforts to integrate customer preference information in engineering design, e.g., Donndelinger and Cook, 1 Besharati, et al, 2,3 Li and Azarm, 4 Wassenaar and Chen, 5 Cooper, et al, 6 Gu, et al, 7 Michalek, et al 8 They have demonstrated that a relationship exists between marketing and engineering in the enterprise. In this article the enterprise is defined as the organization that designs and produces an artifact to maximize its utility (e.g., profit).…”

Section: Introductionmentioning

confidence: 99%

“…For example, Wassenaar and Chen 5 developed demand models utilizing discrete choice analysis 9 in a decision-based design (DBD) framework. 5,7,10,11 This approach identifies the key customer attributes, i.e., product attributes that are of interest to customers. In Wassenaar's approach 12,13 an optimal set of attribute targets is obtained at the enterprise level to maximize the net revenue of a firm.…”

Section: Introductionmentioning

confidence: 99%

“…Researchers in the design community [Besharati, et al., 3 Li and Azarm, 4 Wassenaar and Chen, 5 Michalek, et al 8 ] have also had success in integrating such models in their work. In this article the DCA approach is adopted for demand modeling and the multinomial logit (MNL) model is used because it has a closed form and the Gumbel 9 error distribution closely approximates the normal distribution.…”

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confidence: 99%

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Target Feasibility Achievement in Enterprise-Driven Hierarchical Multidisciplinary Design

Kim¹,

Kumar²,

Chen³

et al. 2004

10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

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Linking enterprise-wide business decision making with engineering decision making is demonstrated by integrating the enterprise utility optimization and the engineering product development approach under a multilevel optimization framework. The analytical target cascading process is used to set the right targets for the engineering design process that maximize utility at the enterprise level. A new methodology is proposed that systematically explores the engineering design space, often represented with a disconnected feasible domain. Analytical examples and an automotive suspension design case study are presented to demonstrate the methodology.

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Set‐based design: The state‐of‐practice and research opportunities

Shallcross¹,

Parnell²,

Pohl

et al. 2020

Systems Engineering

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Increasing system complexity has provided the impetus to develop new and novel systems engineering methodologies. One of these methodologies is set‐based design (SBD), a concurrent design methodology well suited for complex systems subject to significant uncertainty. Since the 1990s, numerous private, public, and defense sector design programs have successfully implemented SBD. However, concerns regarding SBD's complexity, tendency toward qualitative methods, and lack of quantitative tools have limited its use. To address these issues, our research surveys 122 refereed journal articles and conference papers to assess SBD's state‐of‐practice and identify relevant research opportunities. To accomplish these tasks, we perform a structured literature review to identify and assess relevant and influential research. We found that SBD's state‐of‐practice relies heavily upon decision and tradespace analysis with increasing emphasis on uncertainty modeling and MBSE. We found that the majority of SBD research consists of quantitative methodologies focusing on component and small system applications. We also found that complex system applications used mostly qualitative methodologies. We identify SBD research opportunities for requirements development, MBSE, uncertainty modeling, multiresolution modeling, adversarial analysis, and program management. Finally, we recommend the development of a comprehensive SBD methodology and toolkit, suited for complex system design across all stages of the product development life cycle.

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An Approach to Decision-Based Design With Discrete Choice Analysis for Demand Modeling

Abstract: In this paper, we present the importance of using a single criterion approach to DecisionBased Design (DBD)

Cited by 223 publications

References 18 publications

Target Exploration for Disconnected Feasible Regions in Enterprise-Driven Multilevel Product Design

Target Exploration for Disconnected Feasible Regions in Enterprise-Driven Multilevel Product Design

Target Feasibility Achievement in Enterprise-Driven Hierarchical Multidisciplinary Design

Set‐based design: The state‐of‐practice and research opportunities

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