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An expert system to minimize operational costs in mixed-model sequencing problems with activity factor

Autor
Bautista, J.; Alfaro, R.
Tipus d'activitat
Article en revista
Revista
Expert systems with applications
Data de publicació
2018-08-15
Volum
104
Número
2018
Pàgina inicial
185
Pàgina final
201
DOI
https://doi.org/10.1016/j.eswa.2018.03.031 Obrir en finestra nova
Projecte finançador
Factor humano e incertidumbre sobre la secuenciación y el equilibrado en líneas de modelos mixtos
Repositori
http://hdl.handle.net/2117/116424 Obrir en finestra nova
URL
https://doi.org/10.1016/j.eswa.2018.03.031 Obrir en finestra nova
Resum
One of the major issues in industrial environments is currently maximizing productivity while reducing manufacturing cost. This can be seen clearly reflected in mixed-model assembly lines based systems, where obtaining efficient manufacturing sequences is a key to be competitive in a dynamic and globalized market. However, this continuous cost reduction and productivity growth should not penalize the welfare of employees. This work is intended to address this lack of compatibility between the ec...
Citació
Bautista, J., Alfaro, R. An expert system to minimize operational costs in mixed-model sequencing problems with activity factor. "Expert systems with applications", 15 Agost 2018, vol. 104, núm. 2018, p. 185-201.
Paraules clau
Activity Factor, Economic Compensation, Idle Time, Mixed-model Assembly Lines, Sequencing, Work Overload, Work Pace
Grup de recerca
OPE-PROTHIUS - Organització de la Producció en Tallers Híbrids

Participants