An IoT-based multi-level simulation framework is designed with the purpose of accounting for strategic (resource allocation) and tactical-operational planning (activity scheduling and medical service) in home assistance of elderly people. The idea behind the intended two-level conceptual framework is centered on the use of simulation i) at the higher end (level 0) to mimic system organization, rules and behavior of a realistic district-operated home assistance network for the elder and ii) at the lower end (level 1) to mirror the stream of real-time incoming data from IoT devices that register the health conditions of patients and, thus, trigger real-time “service requests”. The key findings of this combination of operations research and IoT-based solutions allow to properly address performance issues (e.g. average waiting times, queue lengths, resource utilization) pertaining to the current practices in the elderly care system considered, as well as tailor resource redistribution and activity scheduling with respect to dynamic and non-deterministic patient “calls”. Ad hoc scenarios can be simulated to verify the value of strategic, tactical and operational decisions of healthy living for the elder.
A multi-level simulation framework for IoT-based elderly care systems
Mazza R. M.;Legato P.;Fortino G.
2020-01-01
Abstract
An IoT-based multi-level simulation framework is designed with the purpose of accounting for strategic (resource allocation) and tactical-operational planning (activity scheduling and medical service) in home assistance of elderly people. The idea behind the intended two-level conceptual framework is centered on the use of simulation i) at the higher end (level 0) to mimic system organization, rules and behavior of a realistic district-operated home assistance network for the elder and ii) at the lower end (level 1) to mirror the stream of real-time incoming data from IoT devices that register the health conditions of patients and, thus, trigger real-time “service requests”. The key findings of this combination of operations research and IoT-based solutions allow to properly address performance issues (e.g. average waiting times, queue lengths, resource utilization) pertaining to the current practices in the elderly care system considered, as well as tailor resource redistribution and activity scheduling with respect to dynamic and non-deterministic patient “calls”. Ad hoc scenarios can be simulated to verify the value of strategic, tactical and operational decisions of healthy living for the elder.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
