Design for Assembly (DfA) is a well-known technique that supports in the reduction of manufacturing costs. Traditional DfA methods are generally focused on the product design lacking of a holistic view. The proposed 4 M approach takes into account all the most important aspects involved in the manual assembly: Method, Machine, Man and Material. The final goal is to provide a means for the concurrent improvement of the product design, the workstation ergonomics, and the assembly tasks. Results obtained with the electric spindle motor case study confirmed the usefulness of the approach in optimizing the manual assembly.

A 4M Approach for a Comprehensive Analysis and Improvement of Manual Assembly Lines / Favi, Claudio; Germani, Michele; Marconi, Marco. - In: PROCEDIA MANUFACTURING. - ISSN 2351-9789. - 11:(2017), pp. 1510-1518. (Intervento presentato al convegno FAIM2017 - Flexible Automation and Intelligent Manufacturing International Conference tenutosi a Modena (IT)) [10.1016/j.promfg.2017.07.283].

A 4M Approach for a Comprehensive Analysis and Improvement of Manual Assembly Lines

Favi, Claudio
;
2017-01-01

Abstract

Design for Assembly (DfA) is a well-known technique that supports in the reduction of manufacturing costs. Traditional DfA methods are generally focused on the product design lacking of a holistic view. The proposed 4 M approach takes into account all the most important aspects involved in the manual assembly: Method, Machine, Man and Material. The final goal is to provide a means for the concurrent improvement of the product design, the workstation ergonomics, and the assembly tasks. Results obtained with the electric spindle motor case study confirmed the usefulness of the approach in optimizing the manual assembly.
2017
A 4M Approach for a Comprehensive Analysis and Improvement of Manual Assembly Lines / Favi, Claudio; Germani, Michele; Marconi, Marco. - In: PROCEDIA MANUFACTURING. - ISSN 2351-9789. - 11:(2017), pp. 1510-1518. (Intervento presentato al convegno FAIM2017 - Flexible Automation and Intelligent Manufacturing International Conference tenutosi a Modena (IT)) [10.1016/j.promfg.2017.07.283].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2836619
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 20
  • ???jsp.display-item.citation.isi??? 12
social impact