Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
WSC '92 Proceedings of the 24th conference on Winter simulation
Using simulation to reduce length of stay in emergency departments
WSC '94 Proceedings of the 26th conference on Winter simulation
Emergency department simulation and determination of optimal attending physician staffing schedules
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Little-JIL/Juliette: a process definition language and interpreter
Proceedings of the 22nd international conference on Software engineering
Dynamic rescheduling that simultaneously considers efficiency and stability
Computers and Industrial Engineering
Proceedings of the 35th conference on Winter simulation: driving innovation
Value-Based Software Engineering
Value-Based Software Engineering
Stability-oriented evaluation of rescheduling strategies, by using simulation
Computers in Industry
Staffing a software project: A constraint satisfaction and optimization-based approach
Computers and Operations Research
Match-Up Strategies for Job Shop Rescheduling
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
Value-Based Multiple Software Projects Scheduling with Genetic Algorithm
ICSP '09 Proceedings of the International Conference on Software Process: Trustworthy Software Development Processes
Analysis of robustness in proactive scheduling: A graphical approach
Computers and Industrial Engineering
Disruption-driven resource rescheduling in software development processes
ICSP'10 Proceedings of the 2010 international conference on New modeling concepts for today's software processes: software process
Proposition of selection operation in a genetic algorithm for a job shop rescheduling problem
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
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The processes carried out in a hospital emergency department can be thought of as structures of activities that require resources in order to execute. Costs are reduced when resource levels are kept low, but this can lead to competition for resources and poor system performance. Careful allocation can improve performance by enabling more efficient use of resources. This paper proposes that resource scheduling be done in a series of dynamic reschedulings that use precise, detailed information about emergency department processes and available department resources to improve the quality of scheduling results. Rescheduling is done over a small set of activities, and uses a genetic algorithm. Simulations are used to evaluate this approach, and results indicate that it can be effective.