Title :
Scheduling of reentrant manufacturing lines using a model predictive control (MPC) approach
Author :
Vargas-Villamil, Felipe D. ; Rivera, Daniel E.
Author_Institution :
Dept. of Chem., Bio & Mater. Eng., Arizona State Univ., Tempe, AZ, USA
Abstract :
This paper proposes a formulation for optimizing long-term production and machine allocation for semiconductor fabrication facilities. Specifically, the concept of model predictive control (MPC) is extended to the scheduling of reentrant manufacturing lines commonly seen in semiconductor manufacturing problems. A state space formulation of MPC is used to obtain this “combined” long-term scheduler and controller system. An l1-norm finite moving horizon cost function is used to obtain a control law which is implemented as a linear programming problem (LP)
Keywords :
linear programming; optimal control; predictive control; production control; semiconductor device manufacture; state-space methods; LP; MPC; l1-norm finite moving horizon cost function; linear programming; long-term production optimization; long-term scheduler; machine allocation; model predictive control; reentrant manufacturing line scheduling; semiconductor fabrication facilities; state space formulation; Control systems; Cost function; Fabrication; Job shop scheduling; Predictive control; Predictive models; Production; Semiconductor device manufacture; State-space methods; Virtual manufacturing;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.610919