A tutorial on simulation in health care: applications issues
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Integrated support environments for simulation modelling
WSC' 90 Proceedings of the 22nd conference on Winter simulation
A simulation model for production scheduling of a facility in a process industry
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Using discrete event simulation to evaluate housestaff work schedules
WSC' 90 Proceedings of the 22nd conference on Winter simulation
A framework for reusability using graph-based models
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Validation of the re-design of a manufacturing work cell using simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Multi-objective flexible job shop schedule: Design and evaluation by simulation modeling
Applied Soft Computing
| Hi-index | 0.00 |
Simulation works because it deals with reality. We simulate models of real systems. We get closer to the system than any other type of modeler. We study the old system, collect data, understand first principles about the system, check out procedures in use before we start modeling, and we test proposed solutions against current operations or baseline designs. We do not force a system into a preconceived normative model. We strive to have our models used and our best alternatives implemented. We stay with a problem until a solution is implemented. We recognize that the model upon which we make our recommendations contains additional information and insights that are useful during implementation.