000014844 001__ 14844
000014844 005__ 20241031132839.0
000014844 020__ $$a978-3-031-60217-7
000014844 022__ $$a2367-3370
000014844 0247_ $$2DOI$$a10.1007/978-3-031-60218-4_3
000014844 037__ $$aCONFERENCE
000014844 039_9 $$a2024-10-31 13:28:39$$b0$$c2024-10-30 15:51:52$$d1002429$$c2024-10-09 10:32:13$$d0$$y2024-10-09 10:32:05$$z1002429
000014844 041__ $$aeng
000014844 245__ $$aResources optimization and value-based prioritization for at risk cultural heritage assets management
000014844 260__ $$aCham$$bSpringer
000014844 269__ $$a2024-05
000014844 300__ $$a10 p.
000014844 506__ $$avisible
000014844 520__ $$9eng$$aThe 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.
000014844 540__ $$acorrect
000014844 592__ $$aHEG Arc
000014844 592__ $$bIDO - Institut de Digitalisation des organisations
000014844 592__ $$cEconomie et Services
000014844 65017 $$aEconomie/gestion
000014844 6531_ $$9eng$$acultural heritage recovery
000014844 6531_ $$9eng$$aobject prioritization
000014844 6531_ $$9eng$$amulti-objective optimization
000014844 655_7 $$apublished full paper
000014844 700__ $$aRosselet, Ulysse$$uHaute école de gestion Arc, HES-SO Haute Ecole Spécialisée de Suisse Occidentale
000014844 700__ $$aGaspoz, Cédric$$uHaute école de gestion Arc, HES-SO Haute Ecole Spécialisée de Suisse Occidentale
000014844 711__ $$a12th World Conference on Information Systems and Technologies (WorldCIST'24)$$cLodz, Poland$$d2024-05-25$$m2024-05-28
000014844 773__ $$tGood Practices and New Perspectives in Information Systems and Technologies$$j2024, 2$$q24-33
000014844 8564_ $$yAuthor postprint$$9e92cb16c-8bf6-43cc-b200-a2a7fc819163$$s263966$$uhttps://arodes.hes-so.ch/record/14844/files/Rosselet_Gaspoz_2024_resources_allocation.pdf
000014844 906__ $$aGREEN
000014844 909CO $$ooai:hesso.tind.io:14844$$pGLOBAL_SET$$pECONOMIESERVICES_ALL$$pECONOMIESERVICES_CONFERENCE
000014844 950__ $$aI1
000014844 980__ $$aconference
000014844 981__ $$aconference