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GLA, Tabu, 2 MIP model Vancroonburg, solution quality: comparison between…
GLA
difference
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update utility into matrix, find optimal solution in the matrix, no exchange moves
Exchange/move neighbourhood, find optimal solution
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whether anticipate, the updating process
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case study (4.3, 4.4)
summary
GLA heuristic is suitable and applicable as decision support system for the daily use in a large hospital.
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Tabu
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inherits from local search, by adds memory to search procedure
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2 MIP model Vancroonburg
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problem setting
static context
assignment PxH -> R, for each time unit of their stay that minimizes a certain cost related to these assignments.
extension to an online, dynamic context
Consider dynamics of online patient arrivals, including emergency patients, and explicitly models the length of stay (LOS) of a patient as and estimate.
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instances
characteristics
Patients. Room, weight c(p,r), avg. occupancy, planning horizon
weights of gender, transfer are corresponding to D et al. and x10 to get interger
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static problem, use admission scheduling website from Demeester
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problem
terms in static problem
elective
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be assigned most appropriate date in hospital, so hospital they can improve occupancy rate
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emergency
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Hard to schedule, random arrival time
idea is to fix the current assignment of all patients that are in the hospital and to manually adapt the discharge dates.
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