Evaluating the strategic design parameters of airports in Thailand to meet service expectations of Low-Cost Airlines using the Fuzzy-based QFD method

Pandey, Mukesh

doi:10.1016/j.jairtraman.2019.101738

Cited by 31 publications

(19 citation statements)

References 62 publications

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“…six parts (Figure 1 There are many successful QFD have been applied to a variety of problems such as library service [61], retail services [62], shipping companies [63]. Other than these studies, the following studies also utilized fuzzy sets: transportation management problem [15,64,65], supply chain management problem [66,67].…”

Section: Methodsmentioning

confidence: 99%

“…HoQ's basic structure is divided into six parts (Figure 1 There are many successful QFD have been applied to a variety of problems such as library service [61], retail services [62], shipping companies [63]. Other than these studies, the following studies also utilized fuzzy sets: transportation management problem [15,64,65], supply chain management problem [66,67]. There are many successful QFD have been applied to a variety of problems such as library service [61], retail services [62], shipping companies [63].…”

Section: Fundamentals Of Qfdmentioning

confidence: 99%

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Using FQFD and FGRA to Enhance the Advertising Effectiveness of Cross-Regional E-Commerce Platforms

Chou

2020

Mathematics

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The thriving development of cross-regional e-commerce has gradually increased online marketing activities and consumers’ intention to shop online. The objective of this paper to find solutions for improving the advertising effectiveness has therefore become very important. In this article, an integrating method of fuzzy quality function deployment (FQFD) and fuzzy grey relational analysis (FGRA) was proposed to identify solutions for improving the advertising effectiveness. Based on this method, the house of quality (HoQ) to facilitate investigation of the 17 advertising effectiveness needs and 10 feasible technical improvements were presented. Through the questionnaire survey of platform users, the importance and satisfaction of the attributes of advertising needs were obtained. After that, a fuzzy relationship matrix was constructed to link technical improvements and advertising effectiveness needs in a fuzzy decision environment. Finally, the priority of technical improvements regarding improving advertising effectiveness were obtained. The results show that the proposed method can help decision makers of cross-regional e-commerce to improve advertising effectiveness effectively, so that they can effectively use resources to design advertisements that meet user needs.

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Section: Methodsmentioning

confidence: 99%

Section: Fundamentals Of Qfdmentioning

confidence: 99%

Using FQFD and FGRA to Enhance the Advertising Effectiveness of Cross-Regional E-Commerce Platforms

Chou

2020

Mathematics

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“…The QFD method has also proven effective to be applied to quality improvement in the service industry, as demonstrated by the model proposed by Park et al (2021) [27], which enables QFD to understand and reconcile the different perspectives between customers and service providers, which promotes improvements to meet customer expectations. This is further strengthened by the QFD model proposed by Pandey (2020) [29], that QFD can be a method to design business parameters to meet customer expectations. Therefore, the QFD method was used in this research.…”

Section: Customer Requirements (Creqs)mentioning

confidence: 99%

“…Wu et al (2018) [28] applied the QFD method to identify service failures and service recovery actions in the hospitality industry. Pandey (2020) [29] has applied the QFD method with the 'house of quality' as an effective tool to evaluate the strategic design parameters of an airport by integrating it with the necessary requirements. Liu et al (2020 [30] applied a QFD-based approach to help manufacturing companies develop supplier evaluation models to create an optimal anticounterfeiting platform.…”

Section: Introductionmentioning

confidence: 99%

Prioritizing Business Quality Improvement of Fresh Agri-Food SMEs through Open Innovation to Survive the Pandemic: A QFD-Based Model

Wicaksono

Hossain

Illés

2021

Journal of Open Innovation: Technology, Market, and Complexity

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It is important that SMEs are able to prioritize business quality by identifying business requirements based on customer requirements. This strategy is able to help SMEs generate innovation in the form of improved business quality activities to meet customer requirements. This approach uses the “quality function deployment (QFD)” method to identify the priority business requirements and improvement actions to generate business quality. As a result, we managed to identify five priority variable business requirements (BReqs) based on seven variable customer requirements (CReqs) with the lowest satisfaction score. We proposed some improvement actions in perspective quality based on five priority business requirements. Moreover, the final quality matrix of business quality improvement priority generally makes it easier for users to read and find out which variables need to be improved. This research also presents a solution so that users can perform business actions effectively and efficiently in allocating their resources.

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“…It is worth noting that Kansei engineering is more concerned with human emotional factors. Reviewing the literature indicates that the majority of emotional evaluations of the aircraft cockpit are carried out with conventional perceptual engineering research methods, including the Delphi expert consultation (Gbededo and Liyanage, 2020), focus groups (Axon et al ., 2020), quality function deployment (QFD; Pandey, 2020), and fuzzy evaluation (Chen et al ., 2020). Because these methods rely heavily on the human selection and expert experience for selecting evaluation indicators and preparing the judgment matrix.…”

Section: Introductionmentioning

confidence: 99%

Evaluating aircraft cockpit emotion through a neural network approach

Chen

Chu

et al. 2020

AIEDAM

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Studies show that there are shortcomings in applying conventional methods for the emotional evaluation of the aircraft cockpit. In order to resolve this problem, a more efficient cockpit emotion evaluation system is established in the present study to simply and quickly obtain the cockpit emotion evaluation value. To this end, the neural network is applied to construct an emotional model to evaluate the emotional prediction of the interior design of the aircraft cockpit. Moreover, several technologies and the Kansei engineering method are applied to acquire the cockpit interior emotional evaluation data for typical aircraft models. In this regard, the radical basis function neural network (RBFNN), Elman neural network (ENN), and the general regression neural network (GRNN) are applied to construct the sentimental prediction evaluation model. Then, the three models are comprehensively compared through factors such as the model evaluation criteria, network structure, and network parameters. Obtained experimental results indicate that the GRNN not only has the highest classification accuracy but also has the highest stability in comparison to the other two neural networks, so that it is a more appropriate method for the emotional evaluation of the aircraft cockpit. Results of the present study provide decision supports for the emotional evaluation of the cockpit interior space.

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Evaluating the strategic design parameters of airports in Thailand to meet service expectations of Low-Cost Airlines using the Fuzzy-based QFD method

Cited by 31 publications

References 62 publications

Using FQFD and FGRA to Enhance the Advertising Effectiveness of Cross-Regional E-Commerce Platforms

Using FQFD and FGRA to Enhance the Advertising Effectiveness of Cross-Regional E-Commerce Platforms

Prioritizing Business Quality Improvement of Fresh Agri-Food SMEs through Open Innovation to Survive the Pandemic: A QFD-Based Model

Evaluating aircraft cockpit emotion through a neural network approach

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