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A GRASP algorithm to optimize operational costs and regularity of production in mixed-model sequencing problems with forced interruption of operations

Author
Bautista, J.; Alfaro, R.
Type of activity
Book chapter
Book
Advances in Artificial Intelligence. CAEPIA 2018. Lecture Notes in Computer Science, vol 11160. Springer, Cham
First page
319
Last page
329
Publisher
Springer
Date of publication
2018-10-23
ISBN
978-3-030-00374-6 Open in new window
DOI
https://doi.org/10.1007%2F978-3-030-00374-6 Open in new window
Repository
http://hdl.handle.net/2117/123730 Open in new window
http://hdl.handle.net/2117/128462 Open in new window
URL
https://rd.springer.com/book/10.1007%2F978-3-030-00374-6 Open in new window
Abstract
This book constitutes the refereed proceedings of the 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, held in Granada, Spain, in October 2018. The 36 full papers presented were carefully selected from 240 submissions. The Conference of the Spanish Association of Artificial Intelligence (CAEPIA) is a biennial forum open to researchers from all over the world to present and discuss their latest scientific and technological advances in Antificial Intelligence (...
Citation
Bautista, J., Alfaro, R. A GRASP algorithm to optimize operational costs and regularity of production in mixed-model sequencing problems with forced interruption of operations. A: "Advances in Artificial Intelligence. CAEPIA 2018. Lecture Notes in Computer Science, vol 11160. Springer, Cham". Berlín: Springer, 2018, p. 319-329.
Keywords
Bounded Dynamic Programming, GRASP, Mixed-model sequencing problems, Operational cost, Work overload
Group of research
OPE-PROTHIUS -

Participants