|
Azadeh et al. (2011)
|
Manufacture of plastic artifacts
-
Evaluate the performance of different layouts in a new manufacturing plant arrangement |
Simulator: Visual SLAM
Specifics: Simulator used to model the injection manufacturing process |
Model: Non-radial Fuzzy-DEA
Orientation: Output
Inputs: -
Outputs: average machine utilization (desirable output), average wait time (undesirable output) and average system time (undesirable output) |
|
Weng et al. (2011)
|
Emergency Sector
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Assess potential bottlenecks, maximize production flows, and identify solutions to reduce patient time in the emergency department (ED) while increasing patient satisfaction |
Simulator: Arena
Specificities: The model simulated and followed patients in the emergency department throughout their stay in the ED, from presentation to discharge |
Model: DEA-VRS
Orientation: Input
Inputs: doctors, nurses, beds
Outputs: number of patients seen (desired output) |
|
van den Bergh et al. (2013)
|
Aircraft Line Maintenance
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The work focuses on the scheduling of allocated human resources to minimize cost and maximize maintenance service and attendance at an airport |
Simulator: Microsoft Visual Studio (C++)
Specifics: Real-time flight arrival data for the winter season was used to identify the appropriate distributions |
Model No.: CRS
Orientation: Input
Inputs: Labor costs and allocated labor per shift
Outputs: success rate (desired), average number of solutions served (desired) and average delay time (unwanted) |
|
Azadeh et al. (2014)
|
Injection Molding Production Line
-
Reduce bottlenecks in the production line by injection molding |
Simulator: Visual SLAM
Specifics: The performance of different priority rules for task dispatch was evaluated, comparing them by queue performance indicators |
Model: Stochastic-DEA
Orientation: Output
Inputs:-
Outputs: queue size (unwanted), average machine utilization (desired) and cycle time (unwanted) |
|
Dev et al. (2014)
|
Supply Chain
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Analyze the efficiency of the total supply chain in the context of average supply rate performance, considering the possibility of time delays due to changes in lead time and inventory review period |
Simulator: Arena
Specifics: Uses to obtain supply time in a model that includes multiple levels and links of a hypothetical supply chain |
Model No.: VRS
Orientation: Input
Inputs: delay due to lead time and inventory review period
Outputs: Average Supply Rate |
|
Marlin & Sohn (2016)
|
National education system
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Determine the critical relationships, potential futures, and unforeseen consequences of potential policies regarding primary and secondary education in Afghanistan |
Simulator: NOLH
Specifics: In the simulation model, entities such as students and teachers are created, which then transit through some part of the system and then are terminated, in which attributes of the entities contain decision rules (containing records about demographic and socioeconomic information), making them analogous to agents |
Model No.: CRS
Orientation: Input
Inputs: student problem-solving ability, teacher-solving ability, teacher training capacity, community-based education capacity; Student Demand and Required Funds
Outputs: dropout, literate, graduates, parity between provinces and quality of education |
|
Hosseini et al. (2019)
|
Refrigerator injection process of a home appliance company
-
Improve the resiliency performance of the production line |
Simulator: Visual SLAM
Specifics: 24 different scenarios were generated to be evaluated in the simulation in terms of queue time and utilization rate |
Model No.: Fuzzy DEA
Orientation: Output
Inputs: -
Outputs: Wait time (unwanted), average utilization of flexible devices (desired), average utilization of other devices (desired), and average fault tolerance time (unwanted) |
|
Keshtkar et al. (2020)
|
Hospitalization of patients in emergencies
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Investigate the impact of the inpatient problem on patients' ability to access other units in the hospital |
Simulator: AnyLogic
Specificities: the integration between DES and DS makes it possible to monitor the patient flow at the micro and macro level |
Model No.: VRS
Orientation: Output
Inputs: number of porters, number of stretchers for transport and number of consultants
Outputs: length of stay (unwanted) and patients seen (desired) |
|
Navazi et al. (2019)
|
Refrigerator injection process of a home appliance company
-
Evaluate the layout of a high-volume production line of single-queue installations and multiple products that requires many downtimes per setup |
Simulator: Visual SLAM
Specifics: To improve the facility layout of the injection modelling process, this study investigates the performance of each layout against the three factors of Resilience Engineering, which includes flexibility, teamwork, and fault tolerance |
Model: Fuzzy DEA-VRS
Orientation: Output
Inputs: -
Outputs: Average Wait Time (Unwanted), Average Device Utilization (Desired), Average Flexible Device Utilization (Desired), and Average Fault Tolerance Time (Unwanted) |
|
Monazzam et al. (2022)
|
Manufacturing
-
Increase efficiency and determine methods to evaluate and optimize the performance of different parts of production systems |
Simulator: Enterprise Dynamics
Specificities: It models different sectors of the production system and integrates them with results on productivity |
Model: Ratio Efficiency Dominant
Orientation: -
Inputs: production planning, non-mechanized inventories, and assembly shop cycle time
Outputs: total production profit, production volume, average productivity of production halls, number of trucks transporting the body and number of semi-finished products during the process |
|
Tavakoli et al. (2022)
|
Health (COVID-19)
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Propose a decision support system for hospital managers, who are willing to be more efficient and who rely on data to support decision-making |
Simulator: Arena
Specifics: Simulate the process of patient flow and then predict the future entry of patients into a hospital as a case study and suggest some policies based on different likely scenarios |
Model No.: CRS
Orientation: Input
Inputs: number of doctors on the COVID-19 emergency hotline, number of nurses on the COVID-19 emergency hotline, number of doctors in the ICU, number of nurses in the ICU, number of doctors in the ICU, number of nurses in the ICU, number of radiologists in a CT scan unit, Number of service providers in the laboratory, number of beds in the ICU, number of beds in the ICU and number of beds in the special COVID-19 emergency line
Outputs: total time, average patient waiting time, rate of patients discharged, and cost of inputs |
|
Taleb et al. (2023)
|
Emergency Sector
-
Investigate the impact of the allocation of human resources (receptionists, nurses, and doctors) in terms of the queue performance indicators |
Simulator: Arena
Specificities:
Performs the simulation from arrival at the emergency room until discharge |
Model No.: Super Efficiency SBM-VRS
Guideline: Not applicable
Inputs: number of receptionists, number of nurses and number of doctors
Outputs: average length of stay in the emergency room (unwanted) and average length of stay in queues (unwanted) |
Avaliação de desempenho do atendimento em uma emergência hospitalar do Rio de Janeiro: uma abordagem híbrida por meio de Simulação de Eventos Discretos e Análise Envoltória de Dados
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