Abstract
This paper describes a case study on the logistics of replenishing a naval warship group. A discrete simulation model of the system was developed. A rule-based adviser was then embedded into the model, thus providing an intelligent decision-maker to automate the simulation model. The simulation methodology was later transformed from simple event-scheduling to the three-phase eLSE system, in preparation for future integration work. Some observations are made about the simulation methodologies used.
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