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A systematic user-centred framework for engineering product design in small- and medium-sized enterprises (SMEs)

Articolo
Data di Pubblicazione:
2017
Citazione:
A systematic user-centred framework for engineering product design in small- and medium-sized enterprises (SMEs) / Gherardini, Francesco; Renzi, Cristina; Leali, Francesco. - In: INTERNATIONAL JOURNAL, ADVANCED MANUFACTURING TECHNOLOGY. - ISSN 0268-3768. - 91:5-8(2017), pp. 1723-1746. [10.1007/s00170-016-9857-9]
Abstract:
The systematic integration of user needs in the product design is a key issue in industry, especially for small- and medium-sized enterprises (SMEs), which suffer a lack of engineering methods and resources. Moreover, most of the approaches described in the literature are not flexible enough to be tailored on the SMEs’ needs, involve users only in the early design phases and are not fully accessible due to the high cost in their implementation. The present paper proposes a user-centred design methodological framework specifically focused on SMEs, which supports the designer from both design and manufacturing aspects along the engineering product design process. The framework integrates engineering methods with Web-based software tools, which enable the communication and the concurrent work of the design team, and supports direct participation of users. Beside state-of-the-art methods, the framework allows the integration of specifically tailored techniques. The framework is successfully validated through an industrial case study developed in collaboration with an Italian SME. As a result, the design of an injection-moulded housing and the related interfaces of a biomedical electronic device are achieved with a reduction of uncertainty and development time, by involving users throughout the design phases and suggesting methods and tools on the basis of the designers’ know-how and SME’s specific resources.
Tipologia CRIS:
Articolo su rivista
Keywords:
Decision theory; Design methodology; Product design; QFD; SMEs; User-centred design; Control and Systems Engineering; Software; Mechanical Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Industrial and Manufacturing Engineering
Elenco autori:
Gherardini, Francesco; Renzi, Cristina; Leali, Francesco
Autori di Ateneo:
GHERARDINI Francesco
LEALI Francesco
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1122689
Pubblicato in:
INTERNATIONAL JOURNAL, ADVANCED MANUFACTURING TECHNOLOGY
Journal
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URL

http://www.springerlink.com/content/0268-3768
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