The monitoring of production processes on a planar surface typically involves sampling network to gather information about the status of the process. In order to save time and money, when the process goes into a stable status it might be appropriate to reduce the dimension of the sampling grid. In some cases, the allocation of a new network of smaller dimension is not free of constraints and it might be necessary the selection of a subgrid extracted from the original network. Discussion is focused on some recent methods used to achieve this aim. Possible extensions to consider jointly tabu search algorithm and co-kriging models is reported.

Borgoni, R., Gilardi, A., Zappa, D. (2022). Optimal Subgrids from Spatial Monitoring Networks. In IES 2022 Innovation & Society 5.0: Statistical and Economic Methodologies for Quality Assessment - Book of Short Papers (pp.148-152). Sesto San Giovanni : Professional Knowledge Empowerment.

Optimal Subgrids from Spatial Monitoring Networks

Borgoni, R
Co-primo
;
Gilardi, A
Membro del Collaboration Group
;
2022

Abstract

The monitoring of production processes on a planar surface typically involves sampling network to gather information about the status of the process. In order to save time and money, when the process goes into a stable status it might be appropriate to reduce the dimension of the sampling grid. In some cases, the allocation of a new network of smaller dimension is not free of constraints and it might be necessary the selection of a subgrid extracted from the original network. Discussion is focused on some recent methods used to achieve this aim. Possible extensions to consider jointly tabu search algorithm and co-kriging models is reported.
No
paper
Samplig grid, Process monitoring, Tabu search, Kriging
English
10th International Conference IES 2022 "Innovation & Society 5.0: Statistical and Economic Methodologies for Quality Assessment"
978-88-94593-35-8
Borgoni, R., Gilardi, A., Zappa, D. (2022). Optimal Subgrids from Spatial Monitoring Networks. In IES 2022 Innovation & Society 5.0: Statistical and Economic Methodologies for Quality Assessment - Book of Short Papers (pp.148-152). Sesto San Giovanni : Professional Knowledge Empowerment.
Borgoni, R; Gilardi, A; Zappa, D
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/356482
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