Use of QFD to Prioritize Requirements Needed for Supplier Selection in an O&amp;G Project

Souza, Sara Marques Oliveira de Araújo; Fontes, Cristiano Hora; Freires, Francisco Gaudêncio Mendonça

doi:10.1007/978-3-031-14763-0_14

Cited by 1 publication

(1 citation statement)

References 33 publications

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“…Table 3 lists the 52 journals where 65 of the 69 articles identified were published. The remaining 4 articles were published as conference papers in Industrial Engineering and Operations Management, XXVIII IJCIEOM [45], Advances in Intelligent Systems and Computing [46,47], and Design, User Experience, and Usability: Design Thinking and Practice in Contemporary and Emerging Technologies, [48] and Usability proceedings in 2022. The journal Sustainability from MDPI published five articles, followed by Mathematics with four articles and Computers & Industrial Engineering, IEEE Transactions on Engineering Management, and Journal of Intelligent & Fuzzy Systems with three publications each.…”

Section: Publication Sourcesmentioning

confidence: 99%

Using Multi-Criteria Decision Making in Quality Function Deployment for Offshore Renewable Energies

García-Orozco,

Vargas-Gutiérrez,

Ordóñez-Sánchez

et al. 2023

Energies

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Quality function deployment (QFD) is now used in various fields, such as product development, design, manufacturing, planning, and quality management services, as a planning tool to achieve customer requirements and needs while improving performance and sustainability concerns. This paper presents a systematic literature review of multi-criteria decision-making (MCDM) methodologies integrated into QFD over the last year. In 2022, 56 research papers on planning strategies, the supply chain, and product development using QFD were published. Other fields such as energy, academia, and environment have also shown considerable interest in the integration of MCDM methodologies in QFD to improve decision-making processes. This research shows that the analytic hierarchy process (AHP) and the technique for order preference by similarity to ideal solutions (TOPSIS) methodologies are mainly used to rank customer requirements and weigh their importance in the house of quality (HoQ) structure. The use of fuzzy logic has been incorporated into the correlation matrix to evaluate the relationships between customer requirements and technical requirements. Methodologies such as decision-making trial and evaluation laboratory (DEMATEL) and fuzzy cognitive maps are implemented to deal with contradictions, and they have also been used to rank engineering characteristics. In the field of energy and renewable technologies, only few studies related to the integration of MCDM methodologies in QFD were found, but it is forecasted that their use will be used more often as they offer improvements and benefits in the ocean energy sector.

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