Optimization of Sales and Operations Planning
of a Computer Manufacturer
Young M. Lee, Roger Tsai, Markus Ettl, Feng Cheng,
Tom Ervolina,
John Konopka, Shannon Liu
IBM Research
Several IBM divisions
make quarterly Sales and Operations Planning (SOP) decisions each month.The
supply quantity, or SOP decision, is based on many factors. The SOP
decision had been typically made using rule of thumb or heuristic methods.
We have recently developed a Newsvendor model that computes an optimal
SOP decision.The model is designed to optimize the expected financial performance.
The performance of the model was estimated using historical data and simulation
of stochastic demand. Our study indicates that substantial financial
benefit can result from the optimization model.