Create complex models and engaging interfaces
Systems Innovation Practice is a small group of professionals and academics who have extensive experience and training in system dynamics. We’ve teamed up with isee systems to offer clients an
alternative to traditional consulting services.
We work closely with our clients to generate insights in a collaborative environment while utilizing the rigorous scientific method of system dynamics. Our work involves constructing models of
how materials flow and people make decisions.
Accurate demand forecasting is an essential part of most supply chain management algorithms. Yet, supply even in the most diligently managed chains can deviate widely from demand. Additionally,
any disturbance in demand will often be amplified in a supply chain creating what is known as bullwhip effect. This simulation attempts to demonstrate using three parsimonious models that supply
can be regulated reliably without forecasting demand. The inspiration for these models comes from PID (Proportional, Integral, Derivative) control in engineering controllers that utilize multiple
functions of error (discrepancy between goal and actual condition) to regulate a quantity.