Understand how multiple product lines share resources in complex factories and how to measure what runs fastest or slows down.
This book analyzes open queueing networks with deterministic routing and several product classes. It shows how interference among product streams distorts departure patterns and offers practical approximations to estimate performance.
The work introduces a two-product modeling approach where all other products are grouped into a single aggregate. It presents several methods to estimate key metrics like departures, queue lengths, and mean numbers of jobs at stations. The approaches are designed to be easy to compute and are tested with real‑world data from manufacturing settings.
- Learn how departures from one station affect subsequent queues in the network
- See how to simplify complex product mixtures into manageable two-product models
- Explore specific approximation techniques, including INT1, INT2, and INT3, and when they work best
- Understand how Erlang assumptions and Poisson-like behavior impact accuracy
Ideal for engineers and researchers interested in practical, math‑driven methods for planning and performance estimation in multiproduct systems.