A decision support model for estimating participation-oriented designs of crowdsourcing platforms based on quality function deployment

Zhang, Xuefeng; Su, Jiafu; Herrera‐Viedma, Enrique

doi:10.1016/j.eswa.2022.117308

Cited by 11 publications

(4 citation statements)

References 70 publications

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“…Newer methodologies have also been used in QFD in recent case studies, including hesitant fuzzy linguistics [36,73,74], fuzzy DEMATEL [39,75], grey relational analysis (GRA) [37,42,46,47,76], interval-valued fuzzy numbers (IVFN) [65,77], fuzzy Delphi method (FDM) [37,39,40,46,47,49,75], complex proportion assessment method (COPRAS) [78], ordinal priority approach-combinative distance-based assessment (OPA-CODAS) [79], social network analysis (SNA) [80], multi-stepwise weight assessment ratio analysis (M-SWARA) [81], entropy weight method (EWM) [38], double hierarchy hesitant linguistic term sets (DHHLTSs) [36], organísation, rangement et synthèse de données relarionnelles (ORESTE) [36], best-worst method-based [39,82], combined compromise solution (Co-CoSo) [43,70], Dempster-Shafer Theory (DST) [83], fuzzy cognitive maps (FCM) [84], proportional hesitant fuzzy linguistic term sets (PHFLTSs) [85], cumulative prospect theory (CPT) [85], fuzzy measuring attractiveness by a categorically based evaluation technique (FMACBETH) [40], and fuzzy full consistency method (FUCOM) [35,86].…”

Section: Other Methodologiesmentioning

confidence: 99%

“…They selected the search query for MCDM most frequently used in QFD. There are, of course, other MCDM approaches, such as fuzzy full consistency method (F-FUCOM) [35], double hierarchy hesitant linguistic term sets (DHHLTSs) [36], fuzzy Delphi method (FDM) [37][38][39][40], grey relation analysis (GRA) [6,37,41,42], and S-CoCoSo [43], that have been used in QFD studies. The MCDM methodologies considered in the search query are presented in Figure 2.…”

mentioning

confidence: 99%

“…They selected the search query for MCDM most frequently used in QFD. There are, of course, other MCDM approaches, such as fuzzy full consistency method (F-FUCOM) [35], double hierarchy hesitant linguistic term sets (DHHLTSs) [36], fuzzy Delphi method (FDM) [37][38][39][40], grey relation analysis (GRA) [6,37,41,42], and S-CoCoSo [43], that have been used in QFD studies. This paper focuses on AHP, ELECTRE, TOPSIS, VIKOR, DEMATEL, PROMETHEE, and ANP because they are the methodologies that have been most widely applied in decision-making tools in the fields of product development, manufacturing, and sustainability [6].…”

mentioning

confidence: 99%

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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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Section: Other Methodologiesmentioning

confidence: 99%

mentioning

confidence: 99%

“…They selected the search query for MCDM most frequently used in QFD. There are, of course, other MCDM approaches, such as fuzzy full consistency method (F-FUCOM) [35], double hierarchy hesitant linguistic term sets (DHHLTSs) [36], fuzzy Delphi method (FDM) [37][38][39][40], grey relation analysis (GRA) [6,37,41,42], and S-CoCoSo [43], that have been used in QFD studies. This paper focuses on AHP, ELECTRE, TOPSIS, VIKOR, DEMATEL, PROMETHEE, and ANP because they are the methodologies that have been most widely applied in decision-making tools in the fields of product development, manufacturing, and sustainability [6].…”

mentioning

confidence: 99%

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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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“…QFD [7] is a method to convert user requirements into engineering technical features. Zhang et al [8] developed a decision support model based on QFD that links engagement-oriented design to solver requirements through matching, ensuring that the estimated design can best meet solver requirements. Gavahi et al [9] used QFD to translate the requirements of medical patients into service quality specifications to help improve patient services.…”

Section: Introductionmentioning

confidence: 99%

Research on an innovative design method of modularized assembled indoor installation transportation device: take GIS as an example

Lv¹,

Fan²,

Wu³

et al. 2022

International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022)

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As many enterprises and factories rely on indoor heavy equipment to complete production work, due to the limited indoor working space during the transportation and installation of this heavy equipment, it is more difficult to use traditional lifting devices or large lifting devices due to their large size. It is difficult to enter the room to complete the corresponding work, and each time it is necessary to build and dismantle the lifting device according to the site conditions, resulting in difficult construction, low efficiency, poor versatility, and other problems. Therefore, a new type of indoor installation transportation device is urgently needed to solve this problem. Using innovative design methods to design a new type of installation transportation device is an important method to solve the above problems. Given the current problems of indoor installation transportation devices and the user requirements of such devices, this paper is based on a variety of innovative design theories such as QFD, AD, and TRIZ to research, establish a device innovation design process model, and design a new type of indoor installation and transportation device based on the model, taking GIS indoor heavy equipment as an example, and verify the effectiveness of the device.

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Fine-Kinney method based on fuzzy logic for natural gas pipeline project risk assessment

Efe,

Efe

2023

Soft Comput

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A decision support model for estimating participation-oriented designs of crowdsourcing platforms based on quality function deployment

Cited by 11 publications

References 70 publications

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

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

Research on an innovative design method of modularized assembled indoor installation transportation device: take GIS as an example

Fine-Kinney method based on fuzzy logic for natural gas pipeline project risk assessment

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