Title :
Demand Management in Semiconductor Manufacturing: A Dynamic Pricing Approach Based on Fast Model Predictive Control
Author :
Davizón, Yasser A. ; de J Lozoya, J. ; Soto, Rogelio
Author_Institution :
Ind. Eng. Dept., Arizona State Univ., Monterrey, Mexico
fDate :
Sept. 28 2010-Oct. 1 2010
Abstract :
Demand Management (DM) is a method which can help a firm to sell the right inventory unit to the right type of customer, at the right time, and for the right price. DM guides the decision of how to allocate undifferentiated units of capacity to available demand in such a way to maximize revenue. The problem then becomes one of determining how much to sell at what price and to which market segment. The objective of this research project is to present control system approaches to DM with Dynamic Pricing using Fast Model Predictive Control in the Semiconductor Manufacturing arena. Manufacturers of integrated circuits invest billions of dollars in process equipment, and they are interested in obtaining as rapid a return on their investment as possible. Rapid yield learning is thus becoming an increasingly important source of competitive advantage. The sooner a potentially lucrative circuit yields, the sooner the manufacturer can generate a revenue stream.
Keywords :
demand forecasting; integrated circuit economics; investment; predictive control; pricing; profitability; semiconductor industry; capacity allocation; competitive advantage; demand management; dynamic pricing approach; fast model predictive control; integrated circuits; inventory unit; market segment; return on investment; revenue maximization; revenue stream; selling price; semiconductor manufacturing; Damping; Delta modulation; Equations; Mathematical model; Predictive models; Suspensions; Demand Management; active suspension; dynamic pricing; fast model predictive control;
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2010
Conference_Location :
Morelos
Print_ISBN :
978-1-4244-8149-1
DOI :
10.1109/CERMA.2010.66