TY  - GEN
AB  - The paper examines efficient post-disaster management of cultural artifacts, emphasizing the need to prioritize object treatment for resource efficiency. It focuses on multi-objective optimization considering heritage value, processing capacities, and resource availability. Highlighting gaps in disaster recovery guidelines and ICT utilization, it proposes using optimization techniques to adapt object routing based on heritage value amidst uncertainties from incomplete data. It suggests queueing theory, job shop, and batch-processing optimizations for object recovery processes. The research underscores the significance of optimizing the stabilization phase during recovery, presenting a model for prioritizing objects based on heritage value and damage. It seeks to allocate rescue budgets to objects, optimizing their stabilization within budget constraints to maximize salvage impact.
AD  - Haute école de gestion Arc, HES-SO Haute Ecole Spécialisée de Suisse Occidentale
AD  - Haute école de gestion Arc, HES-SO Haute Ecole Spécialisée de Suisse Occidentale
AU  - Rosselet, Ulysse
AU  - Gaspoz, Cédric
CY  - Cham
DA  - 2024-05
DO  - 10.1007/978-3-031-60218-4_3
DO  - DOI
EP  - 24-33
ID  - 14844
JF  - Good Practices and New Perspectives in Information Systems and Technologies
KW  - Economie/gestion
KW  - cultural heritage recovery
KW  - object prioritization
KW  - multi-objective optimization
L1  - https://arodes.hes-so.ch/record/14844/files/Rosselet_Gaspoz_2024_resources_allocation.pdf
L2  - https://arodes.hes-so.ch/record/14844/files/Rosselet_Gaspoz_2024_resources_allocation.pdf
L4  - https://arodes.hes-so.ch/record/14844/files/Rosselet_Gaspoz_2024_resources_allocation.pdf
LA  - eng
LK  - https://arodes.hes-so.ch/record/14844/files/Rosselet_Gaspoz_2024_resources_allocation.pdf
N2  - The paper examines efficient post-disaster management of cultural artifacts, emphasizing the need to prioritize object treatment for resource efficiency. It focuses on multi-objective optimization considering heritage value, processing capacities, and resource availability. Highlighting gaps in disaster recovery guidelines and ICT utilization, it proposes using optimization techniques to adapt object routing based on heritage value amidst uncertainties from incomplete data. It suggests queueing theory, job shop, and batch-processing optimizations for object recovery processes. The research underscores the significance of optimizing the stabilization phase during recovery, presenting a model for prioritizing objects based on heritage value and damage. It seeks to allocate rescue budgets to objects, optimizing their stabilization within budget constraints to maximize salvage impact.
PB  - Springer
PP  - Cham
PY  - 2024-05
SN  - 978-3-031-60217-7
SN  - 2367-3370
SP  - 24-33
T1  - Resources optimization and value-based prioritization for at risk cultural heritage assets management
TI  - Resources optimization and value-based prioritization for at risk cultural heritage assets management
UR  - https://arodes.hes-so.ch/record/14844/files/Rosselet_Gaspoz_2024_resources_allocation.pdf
VL  - 2024, 2
Y1  - 2024-05
ER  -