Simulation

CCR has successfully used discrete event simulations on a wide range of problem types from generalized material handling systems to multi-processor computer architectures. Discrete event simulations are characterized by individual (discrete) entities continually undergoing processes with specific processing times. Though the processing times can be derived from continuous distributions the actual processing time for any given entity is a scalar drawn from the distribution. The combination of discrete entities and scalar processing times results in an event calendar describing upcoming events in chronological order. The simulation ‘runs’ by retrieving the next event from the calendar, advancing the simulation time to the time of that event, processing the event which usually results in a subsequent entry (or entries) being added to the calendar, and then retrieving the next event.

The greatest advantage our clients find through simulation is the ability to run ‘what if...’ scenarios before investing in costly resources or construction projects.

Working with United Airlines, CCR developed a simulation of a proposed automated baggage handling system at San Francisco International Airport. The simulation provided airline representatives the ability to investigate alternative configurations for the system, to analyze system performance under varying demand, and to select an optimal configuration for the new system. During another engagement with United Airlines, CCR’s simulation capabilities were used to evaluate the ability of an existing automated baggage handling system, located at another major international airport, to handle future capacity demands.