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An optimized resource allocation in cloud using prediction enabled reinforcement learning. [PDF]
Sci RepKayalvili S +3 more
europepmc +1 more source
Multi-objective optimization for dynamic logistics scheduling based on hierarchical deep reinforcement learning. [PDF]
Sci RepSu J, Dong S.
europepmc +1 more source
Energy-efficient scheduling of AGV-assisted robotic flexible flowshops under learning and processing time uncertainty. [PDF]
Sci RepDehnavi S, Mokhtari H, Rezvan MT.
europepmc +1 more source
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Operations scheduling for an advanced flexible manufacturing system with multi-fixturing pallets
Computers & industrial engineering, 2020This study addresses a new operations scheduling problem for an advanced flexible manufacturing system with multi-fixturing pallets that can load multiple parts for the purpose of facilitating system productivity and flexibility.
Dong-Kyu Lee +2 more
semanticscholar +1 more source
, 2020
It is of great significance to produce an efficient flight deck operations scheduling plan for improving the carrier-based aircraft sortie rate and enhancing the combat capability of aircraft carrier formation.
Rong Cui +4 more
semanticscholar +1 more source
It is of great significance to produce an efficient flight deck operations scheduling plan for improving the carrier-based aircraft sortie rate and enhancing the combat capability of aircraft carrier formation.
Rong Cui +4 more
semanticscholar +1 more source
Improving operating room schedules
Health Care Management Science, 2013Operating rooms (ORs) in US hospitals are costly to staff, generate about 70 % of a hospital's revenues, and operate at a staffed-capacity utilization of 60-70 %. Many hospitals allocate blocks of OR time to individual or groups of surgeons as guaranteed allocation, who book surgeries one at a time in their blocks.
Fei, Li +2 more
openaire +2 more sources