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This course introduces discrete event simulation applied to problems in manufacturing, inventory control, and engineering economics. Topics include simulation languages, estimating production system ...
Last month, David M. Nicol received a “Test of Time” award at the 39th ACM SIGSIM Conference on Principles of Advanced ...
The aim of the course is to introduce students to the concepts, techniques and applied aspects of the development and analysis of simulation models. The course will cover two main approaches for ...
Session 1 - Introduction to discrete Event Simulation. Session 2 & 3 - Building a DES using Simul8: a constrained-resource case study. Session 3 - Verification and validation of DES models. Session 4 ...
Topics may include: formulation of management problems using linear/nonlinear and network models (these could include binary, integer, convex and stochastic programming models) as well as solving ...
We first developed a discrete-event simulation model of the Duke University Hospital NICU system using SAS Simulation Studio 14.1 (Cary, NC, USA). 15 Discrete-event simulation was selected as an ...
Methods: We performed a discrete-event simulation study of wait times for consultations and surgeries for knee and hip joint replacement in Ontario’s 5 postal regions using prospectively collected ...
The prior 'Cost-Effectiveness for HTA' module in the Autumn semester teaches Markov modelling and decision-tree modelling methods. The Advanced Simulation Methods module teaches a different technique, ...
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