A tutorial on how to connect python with different simulation software to develop rich simheuristics
Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event
simulation (DES) is a common simulation approach to model time-dependent and complex …
simulation (DES) is a common simulation approach to model time-dependent and complex …
Simulation-based optimization approach with scenario-based product sequence in a reconfigurable manufacturing system (RMS): A case study
In this study, we consider a production planning and resource allocation problem of a
Reconfigurable Manufacturing System (RMS). Four general scenarios are considered for the …
Reconfigurable Manufacturing System (RMS). Four general scenarios are considered for the …
Fuzzy simheuristics for optimizing transportation systems: Dealing with stochastic and fuzzy uncertainty
In the context of logistics and transportation, this paper discusses how simheuristics can be
extended by adding a fuzzy layer that allows us to deal with complex optimization problems …
extended by adding a fuzzy layer that allows us to deal with complex optimization problems …
Analysis of the effects of EHR implementation on timeliness of care in a dermatology clinic: a simulation study
Objective Quantify the downstream impact on patient wait times and overall length of stay
due to small increases in encounter times caused by the implementation of a new electronic …
due to small increases in encounter times caused by the implementation of a new electronic …
A two-stage AHP multi-objective simulation optimization approach in healthcare
Quality of care is crucial for patients' satisfaction and safety in healthcare centers. The
majority of hospitals attempt to implement facility-wide improvements to ensure high-quality …
majority of hospitals attempt to implement facility-wide improvements to ensure high-quality …
Multi-objective outpatient scheduling in health centers considering resource constraints and service quality: a robust optimization approach
J Behnamian, Z Gharabaghli - Journal of Combinatorial Optimization, 2023 - Springer
Hospitals are among the largest and most sophisticated service organizations and the most
critical service delivery units in the health system. Due to the high risk of hospital services …
critical service delivery units in the health system. Due to the high risk of hospital services …
Multi-Objective Patient Appointment Scheduling Framework (MO-PASS): a data-table input simulation–optimization approach
Appointment scheduling is one of the critical factors for improving patient satisfaction with
healthcare services. A practical and robust appointment scheduling solution allows clinics to …
healthcare services. A practical and robust appointment scheduling solution allows clinics to …
COVID-19 Supply Chain Planning: A Simulation-Optimization Approach
S Maghoulan, HM Ondemir… - 2022 Winter …, 2022 - ieeexplore.ieee.org
Healthcare providers' preparedness and response plans are crucial to effectively cope with
infectious disease outbreaks such as COVID-19. These plans need to provide strategic and …
infectious disease outbreaks such as COVID-19. These plans need to provide strategic and …
A simheuristic for the unmanned aerial vehicle surveillance-routing problem with stochastic travel times and reliability considerations
In the unmanned aerial vehicle (UAV) surveillance-routing problem, a limited fleet of UAVs
with driving-range limitations have to visit a series of target zones in order to complete a …
with driving-range limitations have to visit a series of target zones in order to complete a …
[PDF][PDF] Simulation Analysis of Patients Flow in Oncology Clinics
With an ageing population and more efficient treatments, demand for cancer care is rising;
leading to long waiting times and a significant increase in delays in chemotherapy clinics …
leading to long waiting times and a significant increase in delays in chemotherapy clinics …