A multi-criteria procedure in new product development using different qualitative scales

García-Lapresta, José Luis; Moreno-Albadalejo, Pablo; Pérez-Román, David; Temprano-García, Víctor

doi:10.1016/j.asoc.2021.107279

Cited by 6 publications

(2 citation statements)

References 26 publications

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“…have to be considered. These factors make the process an uncertain and multi-criteria decision-making problem [18]. The capabilities to generate and prioritize concepts have been recognized as key determinants for many companies to compete within an extremely uncertain environment [19].…”

Section: Related Workmentioning

confidence: 99%

An integrated quality-function-deployment and stochastic-dominance-based decision-making approach for prioritizing product concept alternatives

Wang

Chen

Garg

et al. 2022

Complex Intell. Syst.

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For continuous growth and sustaining the competitiveness of a company, product developers spend most of their time making crucial decisions to address a great variety of unpredictable and uncontrollable information. Several mathematical approaches have already been adopted to aid the developers in selecting the best product concept for meeting customers’ requirements and exceeding their expectations. However, those methods do not cope with fully revealed developers’ preferences and do not take into account the random distribution of the target values of engineering characteristics (ECs). In this paper, the application of a quality function deployment (QFD)-based model and a stochastic dominance-based method is presented for product concept development. The first phase in the approach is to construct a product planning house of quality (PPHoQ), which is the core and the engine of the entire QFD model. This model depicts the relationship between the customers’ requirements (CRs) and the ECs for a product. The proposed approach addresses both the relationships between CRs and ECs, in addition to the correlations among the ECs. In this study, developers are invited to express their preferences using different types of linguistic terms dependent on their diverse backgrounds and understanding levels of the product. Based on the outcomes of the PPHoQ process, a variety of alternative concepts can be created. The alternatives are then prioritized and ranked in the second phase. The proposed approach facilitates the random distribution with stochastic variables rather than fuzzy methods to obtain more realistic product concept alternatives. Several examples and comparative results further illustrate that unbalanced linguistic terms and stochastic dominance efficiently endow the product concept selection model with uncertain information and the random distribution in a realistic style.

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Section: Related Workmentioning

confidence: 99%

An integrated quality-function-deployment and stochastic-dominance-based decision-making approach for prioritizing product concept alternatives

Wang

Chen

Garg

et al. 2022

Complex Intell. Syst.

View full text Add to dashboard Cite

show abstract

“…Ordinal proximity measures have been used to devise a multi-criteria procedure in new product development(García-Lapresta et al, 2021) and they have been applied in political, sociological and culture contexts in which verbal rating scales are employed to collect the individuals' opinions (González del Pozo et al, 2020, González del Pozo and García-Lapresta 2019). In addition, the concept of ordinal proximity measure was implemented in the of tourism management by means of the smiley-face scale used by the website Booking.com (González del Pozo and García-Lapresta, 2021).…”

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confidence: 99%

Measurement Scales on Investment Decision-making. Empirical Evidence Based on MiFID Questionnaires.

González del Pozo

2024

BEJ

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The MiFID European directive regulates the provisions of investment services and improves the protection of retail investors. To know the financial knowledge and experience of investors, this directive uses basically two types of questionnaires: appropriateness and suitability tests in which are employed different measurement scales. Since some sub-fields of Behavioral Finance are focused on the study of perception biases, the main objective of this paper is to analyze some advantages and drawbacks of numerical and verbal rating scales, and to examine their effects on investors’ perceptions. To do that, it was carried out an empirical study based on different measurement scales: verbal, numerical rating scale, and verbal scale considering proximities. In this contribution, the concept of ordinal proximity measure is employed to collect the individuals’ perceptions about ordinal scales.

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A method for the competitiveness estimation of the incremental new product through user-generated content

Ma,

Zhu,

Cao

et al. 2024

Decision Support Systems

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A multi-criteria procedure in new product development using different qualitative scales

Cited by 6 publications

References 26 publications

An integrated quality-function-deployment and stochastic-dominance-based decision-making approach for prioritizing product concept alternatives

An integrated quality-function-deployment and stochastic-dominance-based decision-making approach for prioritizing product concept alternatives

Measurement Scales on Investment Decision-making. Empirical Evidence Based on MiFID Questionnaires.

A method for the competitiveness estimation of the incremental new product through user-generated content

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