Enhancing Discrete Choice Demand Modeling for Decision-Based
                    Design

Wassenaar, Henk Jan; Chen, Wei; Cheng, Jie; Sudjianto, Agus

doi:10.1115/1.1897408

Cited by 130 publications

(81 citation statements)

References 18 publications

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“…This seems more generally true for demand modelling approaches. Wassenaar et al (2005), for example, write about their demand modelling approach that it ''aggregates the customer choices (not preferences) by summing the choice probabilities across individual decision makers (customers), thus avoiding the paradox associated with aggregating the utility or preference of a group of customers'' (Wassenaar et al 2005, p. 522).…”

Section: Demand Modellingmentioning

confidence: 99%

Methodological problems in QFD and directions for future development

Poel

2007

Res Eng Design

100

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Quality function deployment (QFD) is a popular tool for product development in industry. QFD aims at setting targets for product characteristics so that products optimally meet customer demands. In this article, the focus is not on the actual effects of QFD but on more fundamental possibilities and limitations of QFD. In particular, I will discuss a number of methodological problems in QFD. One of the most disturbing methodological problems is the impossibility of translating individual into collective customer demands and the impossibility of translating customer demands into engineering characteristics without violating one or more very reasonable conditions. These problems are due to Arrow's Impossibility Theorem. I discuss whether a number of alternative QFD approaches are helpful in overcoming these methodological problems and suggest directions for the further development of QFD and for research.

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Section: Demand Modellingmentioning

confidence: 99%

Methodological problems in QFD and directions for future development

Poel

2007

Res Eng Design

100

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“…Although demand modeling models are available in market research, little work is devoted on demand modeling, which addresses the specific requirements of engineering design, particularly the ones, which facilitate engineering decision-making. Wassenaar et al (2005) enhanced the use of discrete choice analysis (DCA) to demand modeling by considering a hierarchy of product attributes to map customer desires to engineering design attributes associated with engineering analyses. To improve the predictive capability of demand models, the Kano method was employed to provide the econometric justification when the shape of the customer utility function is selected.…”

Section: Introductionmentioning

confidence: 99%

“…They evaluated the proposed methodology by applying to the real VOC in a life insurance company. Wassenaar et al (2005) developed an approach to demand modeling, which is critical for evaluating the profit a product can bring under the Decision-Based Design framework. Although demand modeling models are available in market research, little work is devoted on demand modeling, which addresses the specific requirements of engineering design, particularly the ones, which facilitate engineering decision-making.…”

Section: Introductionmentioning

confidence: 99%

A comparative Kano analysis on customer satisfaction based on customer and employment perspectives

Noorinasab¹,

Hemati²

2012

MSL

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These days, there is a tight competition among business units and all production units or service businesses attempt to use different techniques to increase their market shares. In such environment, customer normally says the last word, in fact, customer plays an important role and in many organizations, it is considered as part of their assets. The purpose of this paper is to propose a hybrid method to detect important criteria using Kano three-dimensional method and prioritize them using analytical hierarchy process. We implement the proposed model of this paper for one of Iranian banks called Bank Melli Iran. The study determines 25 different attributes, categorizes them in three different groups based on Kano model, and ranks them in terms of customers and employees' perspective. The results of the survey indicate that customer and employees mostly have similar views since there are 21 common attributes between them. However, the priorities of these 21 items are often different in terms of two groups of employees and customers.

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“…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. Considering engineering needs the socioeconomic and demographic background of customers, and time.…”

Section: Introductionmentioning

confidence: 99%

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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Enhancing Discrete Choice Demand Modeling for Decision-Based Design

Cited by 130 publications

References 18 publications

Methodological problems in QFD and directions for future development

Methodological problems in QFD and directions for future development

A comparative Kano analysis on customer satisfaction based on customer and employment perspectives

Target Feasibility Achievement in Enterprise-Driven Hierarchical Multidisciplinary Design

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