whenever demand exceeds capacity in a given time period, a backlog will develop resulting in a wait queue
it is thus important to try to match capacity to demand over the time periods
all serial systems will have at least one rate limiting process (constraint) which produces a bottleneck, and the strength of a serial process is limited by the weakest link in the chain
it is critical to discover the bottlenecks as throwing resources at other areas will be wasteful and not improve flow whilst a residual bottleneck causes critical constraints
one can use process mapping and root cause analysis methods to determine such bottlenecks
demand can be measured by number of patients arriving x average amount of time to process them to discharge
capacity can be measured by max. number of patients that can be processed x average amount of time to process them to discharge
unfortunately ED systems are quite complex and mathematical models are not as simple as one would like
furthermore, Economics 101 theory means that if you increase capacity and reduce the cost (time or money cost) to patients or ambulance service in the process, demand will increase as service shifts from higher cost services