Futuristic airport: A sustainable airport design by integrating hesitant fuzzy SWARA and hesitant fuzzy sustainable quality function deployment

Kaya, Sema Kayapınar; Erginel, Nihal

doi:10.1016/j.jclepro.2020.123880

Cited by 35 publications

(10 citation statements)

References 41 publications

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“…32 Gonzalez (2019) [35] QFD and benchmarking to bridge the gap and assess the extent to which customers are happy and satisfied with the products and services provided by the business. 33 Barutcu (2019) [36] Designing the mHealth app for a higher level of satisfaction 34 Kayapinar & Erginel (2020) [37] Quality Function Deployment used to prioritize patient needs and patient expectations. 35 Putra & Wang (2020) [38] With QFD, it can be seen that there is a strong relationship between doctors' skills, behavior and attitudes of officers, as well as having quite modern equipment.…”

Section: Nomentioning

confidence: 99%

Quality Function Deployment in Healthcare: Systematic Literature Review

Setiawan

2022

j.sist.teknik.industri.

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More specific knowledge about Quality Function Deployment (QFD) has grown rapidly. There is a lot of research on the application of QFD in various industrial sectors including manufacturing, construction and services. However, it is still found at least the implementation of QFD in health services. This paper aims to provide a broad understanding and knowledge of the application of QFD in the healthcare industry. This paper also informs that QFD is a method that is not yet popular to be applied in the service industry, including health services. The approach used is Systematic Literature Review. This paper involves a review study of various papers from well-known databases related to the implementation of QFD in the healthcare industry. The results showed that QFD can improve service and create customer satisfaction. QFD is a tool that can be used to assist companies in improving services by translating consumer desires into the company's technical characteristics. QFD applications are also often integrated with other approaches so that QFD can be said as a complementary method that is able to provide maximum results. This paper provides benefits for practitioners to increase knowledge and references to improve company performance related to QFD applications in health services.

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Section: Nomentioning

confidence: 99%

Quality Function Deployment in Healthcare: Systematic Literature Review

Setiawan

2022

j.sist.teknik.industri.

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“…According to their findings, the main barriers are due to: limited power availability, driving-range constraints due to a limited battery life, and lack of a charging infrastructure. Thus, Kaya and Erginel [119] proposed a hybrid fuzzy method that, according to the authors, allow to enhance the sustainable level of airports while taking into account dimensions such as passengers' and managers' sustainability requirements. In the context of travel chains, Kisgyörgy and Tóth [120] introduce a method that allows policy makers to study and optimize the service quality.…”

Section: Applications Of Fuzzy Sets To Sustainable Transportation Systemsmentioning

confidence: 99%

Simulation, Optimization, and Machine Learning in Sustainable Transportation Systems: Models and Applications

et al. 2021

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The need for effective freight and human transportation systems has consistently increased during the last decades, mainly due to factors such as globalization, e-commerce activities, and mobility requirements. Traditionally, transportation systems have been designed with the main goal of reducing their monetary cost while offering a specified quality of service. During the last decade, however, sustainability concepts are also being considered as a critical component of transportation systems, i.e., the environmental and social impact of transportation activities have to be taken into account when managers and policy makers design and operate modern transportation systems, whether these refer to long-distance carriers or to metropolitan areas. This paper reviews the existing work on different scientific methodologies that are being used to promote Sustainable Transportation Systems (STS), including simulation, optimization, machine learning, and fuzzy sets. This paper discusses how each of these methodologies have been employed to design and efficiently operate STS. In addition, the paper also provides a classification of common challenges, best practices, future trends, and open research lines that might be useful for both researchers and practitioners.

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“…SWARA (Stepwise Weight Assessment Ratio Analysis) is a well-known and frequently used MCDM methodologies used in various studies (Kaya & Erginel, 2020;Hashemkhani Zolfani & Saparauskas, 2013). Since the methodology is mainly developed to evaluate the criteria sets in MCDM problems, some other studies are carried out by combining the SWARA with another methodology to cover both criteria weighting and alternative selection parts of the problem (Bitarafan et al, 2014;Ghorshi Nezhad et al, 2015;Singh & Modgil, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

A circular economy model for fossil fuel sustainable decisions based on MADM techniques

Hasheminasab

Zolfani

Zavadskas

et al. 2021

Economic Research-Ekonomska Istraživanja

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Fossil fuels as the primary energy source create career opportunities, provide industries with vital raw material and energy resources, have harmful emissions to the environment and are also related to finite natural resources. They rely on them as the main source of energy supply is unsustainable. Sustainability assessment tools may be useful in developing a more sustainable scenario. However, the resiliency of nature is not taken into account in this linear assessment. The detrimental effect of these fuels on the environment during their life cycle would suggest transitioning from cradle-to-grave to the cradle-to-cradle lifecycle viewpoint. This study implements the Circular Economic (CE) in fossil fuel development to minimize the unsustainable effects and ensure the environment's resiliency. In this context, three different fossil fuels are assessed based on the CE model's proposed lifecycle phases to find out the most sustainable fossil fuel option. A case study is carried out in an industrial location with high-level decision-makers. CE criteria are evaluated based on the E-SWARA method to ensure the assessment's reliability at this critical step. Next, a novel MCDM method, MARCOS, is applied to this study. Based on the results, gas is the most sustainable energy generation plant in the intended region.

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Futuristic airport: A sustainable airport design by integrating hesitant fuzzy SWARA and hesitant fuzzy sustainable quality function deployment

Cited by 35 publications

References 41 publications

Quality Function Deployment in Healthcare: Systematic Literature Review

Quality Function Deployment in Healthcare: Systematic Literature Review

Simulation, Optimization, and Machine Learning in Sustainable Transportation Systems: Models and Applications

A circular economy model for fossil fuel sustainable decisions based on MADM techniques

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