Applying QFD to the Vehicle Market Deployment Process

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Udgivet i:World Electric Vehicle Journal vol. 16, no. 5 (2025), p. 285
Hovedforfatter: Pino-Servian Marta
Andre forfattere: de la Puente-Gil Álvaro, Colmenar-Santos, Antonio, Rosales-Asensio, Enrique
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MDPI AG
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024 7 |a 10.3390/wevj16050285  |2 doi 
035 |a 3212146204 
045 2 |b d20250101  |b d20251231 
100 1 |a Pino-Servian Marta  |u A Escuela Internacional de Doctorado, National University of Distance Education, UNED, Juan del Rosal, 12—Ciudad Universitaria, 28040 Madrid, Spain; mpino173@alumno.uned.es 
245 1 |a Applying QFD to the Vehicle Market Deployment Process 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a This study presents a practical methodology for systematically incorporating customer expectations and needs into the market implementation of electric vehicles (EVs). Utilising Quality Function Deployment (QFD), companies can evaluate and understand customer requirements, optimise product improvements, and allocate resources efficiently. Though not widely adopted in many Western contexts, QFD proves valuable in enhancing strategic decision making and improving market penetration. Moreover, the integration of EVs with renewable energy and advancements in battery and grid technologies strengthens their environmental and economic benefits. As technological progress and policy support continue, EVs are positioned to drive sustainable transportation and contribute to global carbon reduction goals. 
651 4 |a Spain 
651 4 |a United States--US 
651 4 |a Japan 
653 |a Customers 
653 |a Customer services 
653 |a Electric vehicles 
653 |a Marketing 
653 |a Collaboration 
653 |a Quality management 
653 |a Market research 
653 |a Quality control 
653 |a Questionnaires 
653 |a Automobiles 
653 |a Manufacturing 
653 |a Emission standards 
653 |a Quality function deployment 
653 |a Product development 
700 1 |a de la Puente-Gil Álvaro  |u ERESMA Research Group, Escuela Superior y Técnica de Ingenieros de Minas, Department of Electrical Engineering, Systems and Automation, Universidad de León, Campus de Vegazana s/n, 24071 León, Spain; apueg@unileon.es 
700 1 |a Colmenar-Santos, Antonio  |u Departamento de Ingeniería Eléctrica, Electrónica, Control, Telemática y Química Aplicada a la Ingeniería, National University of Distance Education, UNED, Juan del Rosal, 12—Ciudad Universitaria, 28040 Madrid, Spain; acolmenar@ieec.uned.es 
700 1 |a Rosales-Asensio, Enrique  |u Department of Electrical Engineering, University of Las Palmas de Gran Canaria, Campus de Tafira S/n, 35017 Las Palmas de Gran Canaria, Spain 
773 0 |t World Electric Vehicle Journal  |g vol. 16, no. 5 (2025), p. 285 
786 0 |d ProQuest  |t Engineering Database 
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