Scheduling analysis using discrete event simulation
Edward J. Williams, I. Ahitov
Abstract
Edward J. Williams, I. Ahitov
Abstract
Describes a production shop which needed to undertake schedule analyses at the macro level of planning and explain the methods of using simulation to obtain valid, credible schedule analyses quickly. After a discussion of the simulation model itself, we present actual simulation results and conclusions. These successful simulation results help the production shop attain nimble adaptation to product mix requirements, optimal in-process buffer sizing, and speedy combination of the ability to schedule proposals to meet throughput targets.
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Describes a production shop which needed to undertake schedule analyses at the macro level of planning and explain the methods of using simulation to obtain valid, credible schedule analyses quickly. After a discussion of the simulation model itself, we present actual simulation results and conclusions. These successful simulation results help the production shop attain nimble adaptation to product mix requirements, optimal in-process buffer sizing, and speedy combination of the ability to schedule proposals to meet throughput targets.
Key concepts: Discrete event simulation, Sizing, Computer science, Schedule, Scheduling (production processes), Production schedule, Adaptation (eye), Macro