Limitations of the House of Quality to provide quantitative design information

Olewnik, Andrew; Lewis, Kemper

doi:10.1108/02656710810846916

Cited by 38 publications

(28 citation statements)

References 15 publications

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“…This approach bears some similarity to that employed by Olewnik and Lewis (2005;2008) to study design decision support tools. First, individual preferences for different variations of a parameterized drinking mug were measured through experiential conjoint methodology.…”

Section: Methodsmentioning

confidence: 99%

Impossible by design? Fairness, strategy, and Arrow’s impossibility theorem

McComb¹,

Cagan²,

Goucher-Lambert³

2018

Preprint

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The design process often requires work by teams, rather than individuals. During teambased design it is likely that situations will arise in which individual members of the team have different opinions, yet a group decision must still be made. Unfortunately, Arrow's Impossibility Theorem indicates that there is no method for aggregating group preferences that will always satisfy a small number of "fair" conditions. This work seeks to identify methods of combining individual preferences that can come close to satisfying Arrow's conditions, enabling decisions that are fairer in practice. First, experiential conjoint analysis was used to obtain individual empirical utility functions for drinking mug designs. Each empirical utility function represented individual members who were part of a design team. Then, a number of functions for constructing group preference were analysed using both randomly generated preferences and empirical preferences derived from the experiential conjoint survey. The analysis involved checking each of Arrow's conditions, as well as assessing the potential impact of strategic voting.Based on the results, methods that should be used to aggregate group preference within a design team in practice were identified and recommended.2

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Section: Methodsmentioning

confidence: 99%

Impossible by design? Fairness, strategy, and Arrow’s impossibility theorem

McComb¹,

Cagan²,

Goucher-Lambert³

2018

Preprint

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show abstract

“…However, the value provided by the HoQ as an assessment tool is limited to a qualitative nature at best [3]. This qualitative nature limits the ability to utilize the HoQ to carry out customer-driven design in a more fundamental way.…”

Section: Introductionmentioning

confidence: 99%

“…Specifically, the improvements are aimed at evolving the HoQ from a qualitative assessment tool to a quantitative one. The work presented in this paper is offered as a preliminary step in that evolution with a focus on improving the primary source of the qualitative nature of the HoQ [3].…”

Section: Introductionmentioning

confidence: 99%

Conjoint-HoQ: A Quantitative Methodology for Consumer-Driven Design

Olewnik

Lewis

2007

Volume 6: 33rd Design Automation Conference, Parts a and B

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This paper presents a methodology, Conjoint-HoQ, which is meant to provide an improvement over the current House of Quality (HoQ) tool. The improvement comes in the form of quantitative technical information — replacing the qualitative nature of the current HoQ — through integration of conjoint analysis into the HoQ framework. The steps of the Conjoint-HoQ method are presented in detail with an accompanying hypothetical example, the design of a hair dryer. A number of research issues critical to implementation in industry are also identified and discussed. The resulting methodology is representative of design tools seen as vital to supporting the emerging paradigm of mass-customization.

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“…However, the QFD concept and HoQ methodologies have some drawbacks [23]. An inconsistent HoQ chart is one in which the information from the roof matrix is inconsistent with that from the relationship matrix.…”

Section: Requirementsmentioning

confidence: 99%

Configuration Model for Automating Work System Design

Rahman

Mo²

2012

AJIBM

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The design of an automation work system involves important choices concerning the type of system process as well as the condition of the process. These are based on the requirements from the user. This work provides the development of configuration model for automating the design of work system. The model consists of the extraction and execution process of user requirements. It begins with the identification of the requirement statement. Once identified, the statement is extracted and sorted accordingly into process type, number of item count and condition of the process. Currently, the model considers simple sorting and basic assembly process. The model continues to the selection of system action and system component. At the end of the work, the user requirements are transformed into a set of system model and eventually provide the desired system specification. At this stage, the model is represented in a symbolic flow process.

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Limitations of the House of Quality to provide quantitative design information

Cited by 38 publications

References 15 publications

Impossible by design? Fairness, strategy, and Arrow’s impossibility theorem

Impossible by design? Fairness, strategy, and Arrow’s impossibility theorem

Conjoint-HoQ: A Quantitative Methodology for Consumer-Driven Design

Configuration Model for Automating Work System Design

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