Home▸Operations Research▸Queue Backlog Lab: Fluid Model versus Random Arrivals with One to Many Servers

🚶 Queue Backlog Lab: Fluid Model versus Random Arrivals with One to Many Servers

Compare the smooth fluid backlog dQ/dt = lambda - c mu with random Poisson arrivals and several servers: sample paths, the 10-90% band, clearing time and the Erlang C steady state.

Operations Research2DModerate60 FPS📱 Mobile-adapted🤖 ChatGPT⇄ 3D version

⚙ Under the hood

Compare the smooth fluid backlog dQ/dt = lambda - c mu with random Poisson arrivals and several servers: sample paths, the 10-90% band, clearing time and the Erlang C steady state.

queueing theoryfluid modelM/M/c queueErlang Cstochastic simulation

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install