Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/90217
Título: | Applying SWARA approach and refined Kano model to classify and rank customer requirements, case study: automotive industry in Portugal |
Autor(es): | Hariri, Ahmad Domingues, José Pedro Teixeira Sampaio, Paulo |
Palavras-chave: | Automotive industry Customer requirements Portugal Refined Kano model Stepwise weight assessment ratio analysis SWARA |
Data: | 2024 |
Editora: | Inderscience |
Revista: | International Journal of Management and Decision Making |
Resumo(s): | Companies aim to increase the quality of products and competitiveness to gain and retain customers. This study proposes a new approach for identifying and prioritising customer requirements (CRs) to improve black uniformity as a luminance characteristic on the surface of a display by evaluating the CRs. The refined Kano and stepwise weight assessment ratio analysis (SWARA) was applied to rank the 112 CRs identified into main categories: 1) technical; 2) quality; 3) delivery; 4) sustainability; 5) cost to develop the product. To validate the approach, an example is performed on automotive display’ CRs. The findings showed that mechanical and delivery CRs are critical. Today, climate change is a significant challenge and a severe customer concern. Although sustainability of CRs is not classed as essential items in the production process, suppliers must be diligent in providing them. The results help to improve the automotive industry and other production systems. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/90217 |
DOI: | 10.1504/IJMDM.2024.135294 |
ISSN: | 1462-4621 |
e-ISSN: | 1741-5187 |
Versão da editora: | https://www.inderscienceonline.com/doi/abs/10.1504/IJMDM.2024.135294?af=R |
Arbitragem científica: | yes |
Acesso: | Acesso restrito autor |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2024_IJMDM-117255_PPV Last version.pdf Acesso restrito! | 445,66 kB | Adobe PDF | Ver/Abrir |