Multi-criteria group decision making with a partial-ranking-based ordinal consensus reaching process for automotive development management

Wu, Zheng; Liao, Huchang

doi:10.1080/1331677x.2021.2019077

Cited by 9 publications

(1 citation statement)

References 40 publications

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“…Meanwhile, it can show detailed distinctions between alternatives in terms of the preference relation, indifference relation, and incomparability relation [42,43]. Due to its merits, the ORESTE method and its extensions have been successfully applied to address many decision-making problems, which include rockburst risk evaluation [44], energy investment assessment [45], sustainable battery supplier selection [46], automotive development management [47], and failure mode risk analysis [43]. Hence, it is of significance to employ the ORESTE method to derive the importance priority of the identified ECs in QFD.…”

Section: Introductionmentioning

confidence: 99%

Engineering Characteristics Prioritization in Quality Function Deployment Using an Improved ORESTE Method with Double Hierarchy Hesitant Linguistic Information

Shi

Mao

et al. 2022

Sustainability

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Quality function deployment (QFD) is a customer-driven product development technique widely utilized to translating customer requirements into engineering characteristics for maximum customer satisfaction. Nonetheless, when used in real situations, the traditional QFD method has been criticized to have many deficiencies, e.g., in expressing experts’ uncertain assessments and prioritizing engineering characteristics. In this study, we propose a new engineering characteristics prioritization approach based on double hierarchy hesitant linguistic term sets (DHHLTSs) and the ORESTE (organísation, rangement et Synthèse de données relarionnelles, in French) method to overcome the shortcomings of the traditional QFD. Specifically, the main contributions of this study to the literature are that the DHHLTSs are utilized to describe the hesitant relationship assessments between customer requirements and engineering characteristics provided by experts, and the ORESTE method is modified and used to determine the importance ranking orders of engineering characteristics. Finally, a case study and a comparison analysis are presented to illustrate the feasibility and practicability of the proposed QFD approach. The advantages of the new approach being proposed are higher flexibility in handling experts’ intricate and hesitant relationship evaluation information and effective in providing a reasonable prioritization of engineering characteristics in the practical QFD analysis.

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